Prof. Dr. Paul Steinmann
Institute of Applied Mechanics
Prof. Dr. Paul Steinmann
Institute of Applied Mechanics
Based on the theory of nonlinear continuum mechanics we model and simulate the complex mechanical behaviour of materials as well as transient processes such as growth, diffusion, or damage, to tackle open challenges in biomedical applications.
Research projects
- Biomechanics
- Biopolymers
- Hydrogels
- Brain mechanics across scales: Linking microstructure, mechanics and pathology (BRAINIACS)
- Novel Biopolymer Hydrogels for Understanding Complex Soft Tissue Biomechanics
- Microscale characterization methods for the calibration of substance laws for biomaterials and plastics
- Modelling and computation of growth in soft biological matter
-
Nichtlineares Dämpfungsverhalten: Nichtlineares Dämpfungsverhalten geklebter Verbindungen in Abhängigkeit der Schwingspielzahl
(Third Party Funds Group – Sub project)
Overall project: Nichtlineares Dämpfungsverhalten geklebter Verbindungen in Abhängigkeit der Schwingspielzahl
Project leader: ,
Term: 1. April 2025 - 30. September 2027
Acronym: Nichtlineares Dämpfungsverhalten
Funding source: Bundesministerium für Wirtschaft und Energie (BMWE) -
dealii-X: Digitale Zwillinge des menschlichen Körpers für Exascale Supercomputer – dealii-X
(Third Party Funds Group – Sub project)
Overall project: Digitale Zwillinge des menschlichen Körpers für Exascale Supercomputer
Project leader:
Term: 1. January 2025 - 31. March 2027
Acronym: dealii-X
Funding source: BMFTR / Verbundprojekt -
T-hyperelastisch: Methodenentwicklung zur Simulation von hyperelastoplastischen Klebverbindungen mittemperatur- und dehnratenabhängigen Eigenschaften
(Third Party Funds Single)
Project leader:
Term: 1. December 2024 - 31. May 2027
Acronym: T-hyperelastisch
Funding source: Bundesministerium für Wirtschaft und Energie (BMWE) -
DISCOVER: Automated Model Discovery for Soft Matter Systems
(Third Party Funds Single)
Project leader: ,
Term: 1. July 2024 - 30. June 2029
Acronym: DISCOVER
Funding source: EU / European Research CouncilAutomated models boosting research on soft matter
Soft materials, which can be easily deformed or structurally altered by thermal or mechanical stress, are essential in modern life, affecting autonomy, sustainability and health. However, accurately modelling these materials is complex and usually limited to a few well-trained experts. The ERC-funded DISCOVER project aims to make constitutive modelling more accessible through automated model discovery. Objectives include developing neural networks that autonomously find the best models, parameters and experiments for various soft matter systems. Furthermore, researchers will assess model performance in different experiments and use Bayesian analysis to measure uncertainties. Automated model discovery should enable exploration of a vast range of model parameters, offering insight into soft matter systems that traditional methods cannot achieve.
-
Computer Simulation in Science und Engeineering (CSSE) an der Bethlehem Universität
(Third Party Funds Group – Sub project)
Overall project: Computer Simulation in Science und Engeineering (CSSE) an der Bethlehem Universität
Project leader:
Term: 1. May 2024 - 31. December 2027
Funding source: Deutscher Akademischer Austauschdienst (DAAD) -
Experimentelle und numerische Untersuchungen zur Alterung von Klebverbindungen unter zyklischer und hygrothermischer Beanspruchung im Stahl- und Anlagenbau
(Third Party Funds Single)
Project leader:
Term: 1. November 2023 - 31. October 2026
Funding source: Bundesministerium für Wirtschaft und Energie (BMWE) -
SoftFrac: Configurational Mechanics of Soft Materials: Revolutionising Geometrically Nonlinear Fracture
(Third Party Funds Single)
Project leader:
Term: 1. January 2023 - 31. December 2027
Acronym: SoftFrac
Funding source: Europäische Union (EU)SoftFrac will revolutionise geometrically nonlinear fracture mechanics of soft materials (in short soft fracture) by capitalising on configurational mechanics, an unconventional continuum formulation that I helped shaping over the past decades. Mastering soft fracture will result in disruptive progress in designing the failure resilience of soft devices, i.e. soft robotics, stretchable electronics and tissue engineering applications. Soft materials are challenging since they can display moduli as low as only a few kPa, thus allowing for extremely large deformations. Geometrically linear fracture mechanics is well established, nevertheless not applicable for soft fracture given the over-restrictive assumptions of infinitesimal deformations. The appropriate geometrically nonlinear, finite deformation counterpart is, however, still in its infancy. By combining innovative data-driven/data-adaptive constitutive modelling with novel configurational-force-driven fracture onset and crack propagation, I will overcome the fundamental obstacles to date preventing significant progress in soft fracture. I propose three interwoven research Threads jointly addressing challenging theoretical, computational and experimental problems in soft fracture. The theoretical Thread establishes a new constitutive modelling ansatz for soft in/elastic materials, and develops the transformational configurational fracture approach. The computational Thread provides the associated novel algorithmic setting and delivers high-fidelity discretisation schemes to numerically follow crack propagation driven by accurately determined configurational forces. The experimental Thread generates and analyses comprehensive experimental data of soft materials and their geometrically nonlinear fracture for properly calibrating and validating the theoretical and computational developments. Ultimately, SoftFrac, for the first time, opens up new horizons for holistically exploring the nascent field soft fracture.
-
SFB 1540 Z: Wissenschaftliche Koordination und Finanzverwaltung (Z)
(Third Party Funds Group – Sub project)
Overall project: SFB 1540: Erforschung der Mechanik des Gehirns (EBM): Verständnis, Engineering und Nutzung mechanischer Eigenschaften und Signale in der Entwicklung, Physiologie und Pathologie des zentralen Nervensystems
Project leader:
Term: 1. January 2023 - 31. December 2026
Acronym: SFB 1540 Z
Funding source: DFG / Sonderforschungsbereich (SFB) -
SFB 1540 X01: Modellbasierter Abgleich von ex vivo und in vivo Testdaten (X01)
(Third Party Funds Group – Sub project)
Overall project: SFB 1540: Erforschung der Mechanik des Gehirns (EBM): Verständnis, Engineering und Nutzung mechanischer Eigenschaften und Signale in der Entwicklung, Physiologie und Pathologie des zentralen Nervensystems
Project leader: ,
Term: 1. January 2023 - 31. December 2026
Acronym: SFB 1540 X01
Funding source: DFG / Sonderforschungsbereich (SFB)X01 befasst sich mit dem Problem widersprüchlicher Ergebnisse mechanischer Eigenschaften von ultraweichen Materialien wie Hirngewebe, wenn unterschiedliche ex vivo und in vivo Testverfahren verwendet werden. Unsere Hypothese ist, dass es ein kontinuumsbasiertes Simulationsmodell ermöglichen wird, die verschiedenen experimentell beobachtbaren Regime in vivo und ex vivo zu vereinen. Damit können wir erstmals mechanische ex vivo Parameter verwenden, die aus verschiedenen Testmodalitäten gewonnen wurden, um das mechanische in vivo Verhalten des menschlichen Gehirns zu erklären.
-
SFB 1540 C01: Modellierung und Simulation der Mechanik von Zell-Matrix Interaktionen (C01)
(Third Party Funds Group – Sub project)
Overall project: SFB 1540: Erforschung der Mechanik des Gehirns (EBM): Verständnis, Engineering und Nutzung mechanischer Eigenschaften und Signale in der Entwicklung, Physiologie und Pathologie des zentralen Nervensystems
Project leader: ,
Term: 1. January 2023 - 31. December 2026
Acronym: SFB 1540 C01
Funding source: DFG / Sonderforschungsbereich (SFB)C01 verbindet Modellierung und Simulation zur Aufdeckung der Rolle mechanischer Zell-Matrix-Wechselwirkungen im Gehirngewebe. Dabei berücksichtigen agentenbasierte und phänomenologische Kontinuumsmodelle die Zell-Matrix-Wechselwirkungen, die Zellmigration sowie die aktive Krafterzeugung. Mittels in silico Implementierungen werden wir analysieren, wie Zell-Zell- und Zell-Matrix-Wechselwirkungen die mechanischen Eigenschaften des Systems auf Kontinuumsebene bestimmen. Weiterhin werden wir die Dynamik der Bildung neuronaler Organoide in künstlichen Matrizen mittels nichtlinearer Kontinuumsmodellierung und -simulation untersuchen.
-
SFB 1540 B01: Modellierung und Simulation der Regeneration von Rückenmarksgewebe (B01)
(Third Party Funds Group – Sub project)
Overall project: SFB 1540: Erforschung der Mechanik des Gehirns (EBM): Verständnis, Engineering und Nutzung mechanischer Eigenschaften und Signale in der Entwicklung, Physiologie und Pathologie des zentralen Nervensystems
Project leader: ,
Term: 1. January 2023 - 31. December 2026
Acronym: SFB 1540 B01
Funding source: DFG / Sonderforschungsbereich (SFB)B01 zielt auf die kontinuumsbasierte Simulation der Regeneration von Rückenmarksgewebe nach Verletzungen oder Krankheiten ab. Die Modellierung und Simulation wird die zeitliche und räumliche Entwicklung von Wachstums-, Umbau- und Heilungsprozessen erfassen. Wir werden uns insbesondere auf mechanisch bedingte Prozesse konzentrieren, die an der Regeneration des Rückenmarks nach traumatischen Verletzungen und bei Multipler Sklerose beteiligt sind. Um die konstitutiven Modelle zu kalibrieren, werden wir mechanische Tests an menschlichem und tierischem Rückenmarksgewebe nutzen.
-
SFB 1540 - EBM: Exploring Brain Mechanics (EBM): Understanding, engineering and exploiting mechanical properties and signals in central nervous system development, physiology and pathology
(Third Party Funds Group – Overall project)
Project leader:
Term: 1. January 2023 - 31. December 2026
Acronym: SFB 1540 - EBM
Funding source: DFG / Sonderforschungsbereich / Transregio (SFB / TRR)
URL: https://www.crc1540-ebm.research.fau.eu/Thecentral nervous system (CNS) is our most complex organ system. Despite tremendousprogress in our understanding of the biochemical, electrical, and geneticregulation of CNS functioning and malfunctioning, many fundamental processesand diseases are still not fully understood. For example, axon growth patterns inthe developing brain can currently not be well-predicted based solely on thechemical landscape that neurons encounter, several CNS-related diseases cannotbe precisely diagnosed in living patients, and neuronal regeneration can stillnot be promoted after spinal cord injuries.
Duringmany developmental and pathological processes, neurons and glial cells aremotile. Fundamentally, motion is drivenby forces. Hence, CNS cells mechanicallyinteract with their surrounding tissue. They adhere to neighbouring cells and extracellular matrix using celladhesion molecules, which provide friction, and generate forces usingcytoskeletal proteins. These forces aretransmitted to the outside world not only to locomote but also to probe themechanical properties of the environment, which has a long overseen huge impacton cell function.
Onlyrecently, groups of several project leaders in this consortium, and a few other groupsworldwide, have discovered an important contribution of mechanical signalsto regulating CNS cell function. For example, they showed that brain tissuemechanics instructs axon growth and pathfinding in vivo, that mechanicalforces play an important role for cortical folding in the developing humanbrain, that the lack of remyelination in the aged brain is due to an increasein brain stiffness in vivo, and that many neurodegenerative diseases areaccompanied by changes in brain and spinal cord mechanics. These first insights strongly suggest thatmechanics contributes to many other aspects of CNS functioning, and it islikely that chemical and mechanical signals intensely interact at the cellularand tissue levels to regulate many diverse cellular processes.
The CRC 1540 EBM synergises the expertise of engineers, physicists,biologists, medical researchers, and clinicians in Erlangen to explore mechanicsas an important yet missing puzzle stone in our understanding of CNSdevelopment, homeostasis, and pathology. Our strongly multidisciplinary teamwith unique expertise in CNS mechanics integrates advanced invivo, in vitro, and in silico techniques across time(development, ageing, injury/disease) and length (cell, tissue, organ) scalesto uncover how mechanical forces and mechanical cell and tissue properties,such as stiffness and viscosity, affect CNS function. We especially focus on(A) cerebral, (B) spinal, and (C) cellular mechanics. Invivo and in vitro studies provide a basic understanding ofmechanics-regulated biological and biomedical processes in different regions ofthe CNS. In addition, they help identify key mechano-chemical factors forinclusion in in silico models and provide data for model calibration andvalidation. In silico models, in turn, allow us to test hypotheses without the need of excessive or even inaccessibleexperiments. In addition, they enable the transfer and comparison of mechanics data and findingsacross species and scales. They also empower us to optimise processparameters for the development of in vitro brain tissue-like matricesand in vivo manipulation of mechanical signals, and, eventually, pavethe way for personalised clinical predictions.
Insummary, we exploit mechanics-based approaches to advance ourunderstanding of CNS function and to provide the foundation for futureimprovement of diagnosis and treatment of neurological disorders.
-
GRK2423 - P5: Teilprojekt P5 - Compressive Failure in Porous Materials
(Third Party Funds Group – Sub project)
Overall project: Skalenübergreifende Bruchvorgänge: Integration von Mechanik, Materialwissenschaften, Mathematik, Chemie und Physik (FRASCAL)
Project leader: ,
Term: 2. January 2019 - 31. December 2027
Acronym: GRK2423 - P5
Funding source: DFG / Graduiertenkolleg (GRK)
URL: https://www.frascal.research.fau.eu/home/research/p-5-compressive-failure-in-porous-materials/Materials such as solid foams, highly-porous cohesive granulates, for aerogels possess a mode of failure not available to other solids. cracks may form and propagate even under compressive loads (‘anticracks’, ‘compaction bands’). This can lead to counter-intuitive modes of failure – for instance, brittle solid foams under compressive loading may deform in a quasi-plastic manner by gradual accumulation of damage (uncorrelated cell wall failure), but fail catastrophically under the same loading conditions once stress concentrations trigger anticrack propagation which destroys cohesion along a continuous fracture plane. Even more complex failure patterns may be observed in cohesive granulates if cohesion is restored over time by thermodynamically driven processes (sintering, adhesive aging of newly formed contacts), leading to repeated formation and propagation of zones of localized damage and complex spatio-temporal patterns as observed in sandstone, cereal packs, or snow.
We study failure processes associated with volumetric compaction in porous materials and develop micromechanical models of deformation and failure in the discrete, porous microstructures. We then make a scale transition to a continuum model which we parameterise using the discrete simulation results.
-
GRK2423 - P10: Teilprojekt P10 - Configurational Fracture/Surface Mechanics
(Third Party Funds Group – Sub project)
Overall project: Fracture across Scales: Integrating Mechanics, Materials Science, Mathematics, Chemistry, and Physics (FRASCAL)
Project leader: ,
Term: 2. January 2019 - 31. December 2027
Acronym: GRK2423 - P10
Funding source: DFG / Graduiertenkolleg (GRK)
URL: https://www.frascal.research.fau.eu/home/research/p-10-configurational-fracture-surface-mechanics/In a continuum the tendency of pre-existing cracks to propagate through the ambient material is assessed based on the established concept of configurational forces. In practise crack propagation is however prominently affected by the presence and properties of either surfaces and/or interfaces in the material. Here materials exposed to various surface treatments are mentioned, whereby effects of surface tension and crack extension can compete. Likewise, surface tension in inclusion-matrix interfaces can often not be neglected. In a continuum setting the energetics of surfaces/interfaces is captured by separate thermodynamic potentials. Surface potentials in general result in noticeable additions to configurational mechanics. This is particularly true in the realm of fracture mechanics, however its comprehensive theoretical/computational analysis is still lacking.
The project aims in a systematic account of the pertinent surface/interface thermodynamics within the framework of geometrically nonlinear configurational fracture mechanics. The focus is especially on a finite element treatment, i.e. the Material Force Method [6]. The computational consideration of thermodynamic potentials, such as the free energy, that are distributed within surfaces/interfaces is at the same time scientifically challenging and technologically relevant when cracks and their kinetics are studied.
-
GRK 2423 FRASCAL: Fracture across Scales: Integrating Mechanics, Materials Science, Mathematics, Chemistry, and Physics (FRASCAL)
(Third Party Funds Group – Overall project)
Project leader:
Term: 1. January 2019 - 31. December 2027
Acronym: GRK 2423 FRASCAL
Funding source: DFG / Graduiertenkolleg (GRK)
URL: https://www.frascal.research.fau.eu/The RTG aims to improve understanding of fracture in brittle heterogeneous materials by developing simulation methods able to capture the multiscale nature of failure. With i) its rooting in different scientific disciplines, ii) its focus on the influence of heterogeneities on fracture at different length and time scales as well as iii) its integration of highly specialised approaches into a “holistic” concept, the RTG addresses a truly challenging cross-sectional topic in mechanics of materials. Although various simulation approaches describing fracture exist for particular types of materials and specific time and length scales, an integrated and overarching approach that is able to capture fracture processes in different – and in particular heterogeneous – materials at various length and time resolutions is still lacking. Thus, we propose an RTG consisting of interdisciplinary experts from mechanics, materials science, mathematics, chemistry, and physics that will develop the necessary methodology to investigate the mechanisms underlying brittle fracture and how they are influenced by heterogeneities in various materials. The insights obtained together with the methodological framework will allow tailoring and optimising materials against fracture. The RTG will cover a representative spectrum of brittle materials and their composites, together with granular and porous materials. We will study these at length and time scales relevant to science and engineering, ranging from sub-atomic via atomic and molecular over mesoscale to macroscopic dimensions. Our modelling approaches and simulation tools are based on concepts from quantum mechanics, molecular mechanics, mesoscopic approaches, and continuum mechanics. These will be integrated into an overall framework which will represent an important step towards a virtual laboratory eventually complementing and minimising extensive and expensive experimental testing of materials and components. Within the RTG, young researchers under the supervision of experienced PAs will perform cutting-edge research on challenging scientific aspects of fracture. The RTG will foster synergies in research and advanced education and is intended to become a key element in FAU‘s interdisciplinary research areas “New Materials and Processes” and “Modelling–Simulation–Optimisation”.
2026
- Dev, C., Stankiewicz, G., Moreno Mateos, M.A., & Steinmann, P. (2026). Optimizing remanent magnetization in magnetorheological elastomers under external permanent magnet actuation. Computer Methods in Applied Mechanics and Engineering, 453, 118822. https://doi.org/10.1016/j.cma.2026.118822
- Dötschel, V., Richter, E., Possart, G., Steinmann, P., & Ries, M. (2026). Reactive coarse-grained MD models to capture interphase formation in epoxy-based structural adhesive joints. European Journal of Mechanics A-Solids, 116. https://doi.org/10.1016/j.euromechsol.2025.105801
- Firooz, S., Reddy, B.D., & Steinmann, P. (2026). A micromorphic-based artificial diffusion method for stabilized finite element approximation of convection-diffusion problems. Archive of Applied Mechanics, 96(65). https://doi.org/10.1007/s00419-026-03047-y
- Firooz, S., Reddy, B.D., Zaburdaev, V., & Steinmann, P. (2026). Cellular aggregate formation: Continuum modelling and computational aspects. Computer Methods in Applied Mechanics and Engineering, 451. https://doi.org/10.1016/j.cma.2025.118687
- Flaschel, M., Moreno Mateos, M.A., Wiesheier, S., Steinmann, P., & Kuhl, E. (2026). Unsupervised Material Fingerprinting: Ultra-fast hyperelastic model discovery from full-field experimental measurements. Computer Methods in Applied Mechanics and Engineering, 461. https://doi.org/10.1016/j.cma.2026.119256
- Friedlein, J., Steinmann, P., & Mergheim, J. (2026). One-way coupled staggered implementation of gradient-enhanced damage models coupled to thermoplasticity. Finite Elements in Analysis and Design, 253. https://doi.org/10.1016/j.finel.2025.104471
- Ghosh, A., McBride, A., Liu, Z., Heltai, L., Steinmann, P., & Saxena, P. (2026). Modelling of magneto-mechanically coupled soft thin shells. International Journal of Solids and Structures, 331. https://doi.org/10.1016/j.ijsolstr.2026.113851
- Holthusen, H., Steinmann, P., & Kuhl, E. (2026). A convex route to thermoelasticity: Learning internal energy and dissipation. Computer Methods in Applied Mechanics and Engineering, 459. https://doi.org/10.1016/j.cma.2026.119082
- Javili, A., Larsson, F., Runesson, K., & Steinmann, P. (2026). Upscaling elastic interphases to canonical interface models. Computer Methods in Applied Mechanics and Engineering, 451. https://doi.org/10.1016/j.cma.2025.118694
- Laurien, M., Javili, A., & Steinmann, P. (2026). A damage formulation for continuum-kinematics-inspired peridynamics to capture fracture experiments. Engineering Fracture Mechanics, 332. https://doi.org/10.1016/j.engfracmech.2025.111784
- Moreno Mateos, M.A., & Steinmann, P. (2026). Cutting soft materials: how material differences shape the response. npj Computational Materials, 12(1). https://doi.org/10.1038/s41524-025-01869-y
- Neumann, O., Gopalan Ramachandran, R., Surana, H.V., Paulsen, F., Scholz, M., Gaffling, S.,... Budday, S. (2026). Multimodal mechanical characterization pipeline for spinal cord tissue. Acta Biomaterialia, 216, 48-271. https://doi.org/10.1016/j.actbio.2026.04.036
- Neumann, O., Kravikass, M., John, N., Gopalan Ramachandran, R., Steinmann, P., Zaburdaev, V.,... Budday, S. (2026). In silico model of axonal pathfinding during spinal cord regeneration in zebrafish larvae. (Unpublished, Submitted).
- Nika, G., Steinmann, P., & Stingl, M. (2026). ASYMPTOTICS OF A HETEROGENEOUS CANHAM–HELFRICH FLEXOELECTRIC BIOMEMBRANE. Mathematics and Mechanics of Complex Systems, 14(2), 257-283. https://doi.org/10.2140/memocs.2026.14.257
- Que, Q., Hu, R., Cui, Y., Liu, Y., Steinmann, P., & Sommerfeld, M. (2026). Transient dynamics of prolate particle–wall collisions in gas–solid flows: A hybrid analytical–numerical framework. International Journal of Multiphase Flow, 200. https://doi.org/10.1016/j.ijmultiphaseflow.2026.105746
- Santarossa, A., Varela Rosales, N., Steinmann, P., & Moreno Mateos, M.A. (2026). Configurational forces explain echelon cracks in soft materials. Journal of the Mechanics and Physics of Solids, 212, 106549. https://doi.org/10.1016/j.jmps.2026.106549
- Schattenfroh, J., Meyer, T., Aghamiry, H.S., Jaitner, N., Fedders, M., Görner, S.,... Sack, I. (2026). In vivo wideband MR elastography for assessing age-related viscoelasticity changes of the human brain. Acta Biomaterialia. https://doi.org/10.1016/j.actbio.2026.02.002
- Stankiewicz, G., Dev, C., & Steinmann, P. (2026). A novel multi-thickness topology optimization method for balancing structural performance and manufacturability. Structural and Multidisciplinary Optimization, 69(3). https://doi.org/10.1007/s00158-026-04267-0
- Stankiewicz, G., Dev, C., & Steinmann, P. (2026). Deblurring structural edges in variable thickness topology optimization via density-gradient-informed projection. Structural and Multidisciplinary Optimization, 69(6). https://doi.org/10.1007/s00158-026-04343-5
- Sun, P., Hossain, M., Steinmann, P., & Xiao, R. (2026). A chemo-mechanical model coupling damage and mechanofluorescence for tough interpenetrating elastomers. Journal of the Mechanics and Physics of Solids, 213. https://doi.org/10.1016/j.jmps.2026.106627
- Verma, Y., Schattenfroh, J., Sack, I., Budday, S., Steinmann, P., & Heltai, L. (2026). Simulation Platform To Evaluate Inversion Techniques For Magnetic Resonance Elastography Data.
- Wedel, J., Catalán, N., Steinmann, P., Hriberšek, M., Cito, S., Varela, S.,... Ravnik, J. (2026). Ellipsoidal particle transport and deposition in an averaged human nasal airway — A CFD study. International Journal of Multiphase Flow, 198. https://doi.org/10.1016/j.ijmultiphaseflow.2026.105657
- Wedel, J., Horvat, I.D., Vovk, N., Hriberšek, M., Ravnik, J., & Steinmann, P. (2026). A novel data-driven surrogate approach for fast evaluation of the dynamics of soft ellipsoidal micro-particles in dilute viscous flow. Computer Methods in Applied Mechanics and Engineering, 448. https://doi.org/10.1016/j.cma.2025.118452
- Wiesheier, S., Moreno Mateos, M.A., & Steinmann, P. (2026). Data-adaptive spline-based viscoelasticity for soft solids. Computer Methods in Applied Mechanics and Engineering, 451, 118705. https://doi.org/10.1016/j.cma.2025.118705
- Zhao, W., & Steinmann, P. (2026). Crack-tip deformation transitions and fracture mechanisms in glassy polymers revealed by particle-continuum coupling simulations. Journal of the Mechanics and Physics of Solids, 106595. https://doi.org/10.1016/j.jmps.2026.106595
- Zhao, W., Xiao, R., Pfaller, S., & Steinmann, P. (2026). Modeling strain hardening in glassy polymers based on the microscopic mechanisms revealed by molecular dynamic simulations. Journal of the Mechanics and Physics of Solids, 206, 106384. https://doi.org/10.1016/j.jmps.2025.106384
2025
- Ahmadi, M., McBride, A., Steinmann, P., & Saxena, P. (2025). Plane stress finite element modelling of arbitrary compressible hyperelastic materials. Acta Mechanica. https://doi.org/10.1007/s00707-025-04310-z
- Burkhardt, C., Soldner, D., Steinmann, P., & Mergheim, J. (2025). Macroscopic Modeling, Simulation, and Optimization. In (pp. 285-307). Springer Nature.
- Böhringer, D., Hinrichsen, J., Gataulin, R., Wiedenmann, S., Spörrer, M., Sherifova, S.,... Budday, S. (2025). Compression‐Tension‐Asymmetry and Stiffness Nonlinearity of Collagen‐Matrigel Composite Hydrogels. Advanced Healthcare Materials. https://doi.org/10.1002/adhm.202503052
- Fan, C., Steinmann, P., Wang, J., & Liang, Y. (2025). A two-step variational approach towards the modeling of high-frequency thermo-magneto-mechanical response of magnetic shape memory alloys. Journal of the Mechanics and Physics of Solids, 204. https://doi.org/10.1016/j.jmps.2025.106272
- Firooz, S., Reddy, B.D., & Steinmann, P. (2025). A gradient-enhanced approach for stable finite element approximations of reaction-convection-diffusion problems. Journal of Theoretical, Computational and Applied Mechanics. https://doi.org/10.46298/jtcam.15788
- Flaschel, M., Steinmann, P., De Lorenzis, L., & Kuhl, E. (2025). Convex neural networks learn generalized standard material models. Journal of the Mechanics and Physics of Solids, 200. https://doi.org/10.1016/j.jmps.2025.106103
- Friedlein, J., Lüder, S., Kalich, J., Schmale, H.C., Böhnke, M., Schlichter, M.,... Mergheim, J. (2025). Application of stress-state-dependent ductile damage and failure model to clinch joining for a wide range of tool and material combinations. Journal of Advanced Joining Processes, 11. https://doi.org/10.1016/j.jajp.2025.100299
- Friedlein, J., Mergheim, J., & Steinmann, P. (2025). Modelling of stress-state-dependent ductile damage with gradient-enhancement exemplified for clinch joining. Journal of the Mechanics and Physics of Solids, 196. https://doi.org/10.1016/j.jmps.2025.106026
- Javili, A., Ekiz, E., & Steinmann, P. (2025). A Geometrically Nonlinear Correspondence Model for Continuum-Kinematics-Inspired Peridynamics. Journal of Peridynamics and Nonlocal Modeling, 7(1). https://doi.org/10.1007/s42102-025-00129-3
- Javili, A., Larsson, F., Runesson, K., & Steinmann, P. (2025). On a canonical interface model with application to micro-heterogeneous elastic solids. Computer Methods in Applied Mechanics and Engineering, 440. https://doi.org/10.1016/j.cma.2025.117925
- Lapina, T., Xiang, Y., Yao, Q., Chen, D., Li, J., Steinmann, P., & Rudykh, S. (2025). Microstructural buckling in soft visco-hyperelastic laminates. International Journal of Solids and Structures, 311. https://doi.org/10.1016/j.ijsolstr.2025.113242
- Moreno Mateos, M.A., Wiesheier, S., Mokarram, H., Esmaeili, A., Hossain, M., & Steinmann, P. (2025). Biaxial characterization of soft elastomers: Experiments and data-adaptive configurational forces for fracture. Journal of the Mechanics and Physics of Solids, 205, 106339. https://doi.org/10.1016/j.jmps.2025.106339
- Neumann, O., Surana, H.V., Melly, S.K., Steinmann, P., & Budday, S. (2025). Mechanical characteristics of spinal cord tissue by indentation. Journal of the Mechanical Behavior of Biomedical Materials, 163. https://doi.org/10.1016/j.jmbbm.2024.106863
- Pallares, J., Fabregat, A., Lavrinenko, A., Marques, N., Santos, B., Mosca, G.,... Cito, S. (2025). Computational fluid dynamics challenge on indoor dispersion of pathogen-laden aerosols. Physics of Fluids, 37(2). https://doi.org/10.1063/5.0252665
- Papastavrou, A., Pivonka, P., Schmidt, I., & Steinmann, P. (2025). A cellular-meso-macro three-scale approach captures remodelling of cancellous bone in health and disease. Biomechanics and Modeling in Mechanobiology. https://doi.org/10.1007/s10237-025-01948-5
- Pivovarov, D., Willner, K., & Steinmann, P. (2025). Overview of eXtended IsoGeometrical FEM for non-deterministic problems. Computational Mechanics. https://doi.org/10.1007/s00466-025-02700-7
- Rohracker, M., Kumar, P., Steinmann, P., & Mergheim, J. (2025). Efficient phase-field fracture simulations for fracture analysis in heterogeneous materials. Computational Mechanics. https://doi.org/10.1007/s00466-025-02685-3
- Schaller, E., Javili, A., & Steinmann, P. (2025). A novel energy-fitted hexagonal quadrature scheme enables low-cost and high-fidelity peridynamic computations. Computer Methods in Applied Mechanics and Engineering, 440. https://doi.org/10.1016/j.cma.2025.117918
- Stankiewicz, G., Dev, C., & Steinmann, P. (2025). Configurational-force-driven adaptive refinement and coarsening in topology optimization. Structural and Multidisciplinary Optimization. https://doi.org/10.1007/s00158-025-04096-7
- Steinmann, P., McBride, A., & Javili, A. (2025). Nonlocal Integral-Type Elasticity: Foundations of Continuum-Kinematics-Inspired Peridynamics (CPD). In (pp. 363-394). Springer Science and Business Media B.V..
- Titlbach, A., Papastavrou, A., McBride, A., & Steinmann, P. (2025). Modelling the flexoelectric effect in human bone—A micromorphic approach. Computer Methods in Applied Mechanics and Engineering, 446. https://doi.org/10.1016/j.cma.2025.118234
- Tshikwand, G.K., Moreno Mateos, M.A., Santarossa, A., & Steinmann, P. (2025). Experimental insights into the thermo-mechanical fracture performance of soft shape memory polymers. Engineering Fracture Mechanics, 327, 111439. https://doi.org/10.1016/j.engfracmech.2025.111439
- Wedel, J., Hriberšek, M., Ravnik, J., & Steinmann, P. (2025). Ellipsoidal soft micro-particles suspended in dilute viscous flow. Computer Methods in Applied Mechanics and Engineering, 441. https://doi.org/10.1016/j.cma.2025.117973
- Wedel, J., Steinmann, P., Prinz, F., Lízal, F., Hriberšek, M., & Ravnik, J. (2025). Mass distribution impacts on particle translation and orientation dynamics in dilute flows. Powder Technology, 452. https://doi.org/10.1016/j.powtec.2024.120424
- Xiao, R., Chen, Z., Shi, Y., Zhan, L., Qu, S., & Steinmann, P. (2025). A continuum model for novel electromechanical-instability-free dielectric elastomers. Journal of the Mechanics and Physics of Solids, 196. https://doi.org/10.1016/j.jmps.2024.105994
- Yang, Z., Herrnböck, L., Markl, M., Mergheim, J., Steinmann, P., & Körner, C. (2025). Mesoscopic Modeling and Simulation of Properties of Additively Manufactured Metallic Parts. In Dietmar Drummer, Michael Schmidt (Eds.), Progress in Powder Based Additive Manufacturing. (pp. 309-330). Springer Nature.
- Zhan, L., Wang, S., Xiao, R., Qu, S., & Steinmann, P. (2025). Statistical theory for polymer elasticity: From molecular kinematics to continuum behavior. Physical Review E, 112(2-2), 025404-. https://doi.org/10.1103/9qpw-mv57
- van Huyssteen, D., Rivarola, F.L., Etse, G., & Steinmann, P. (2025). On mesh refinement procedures for polygonal virtual elements. Applications in Engineering Science, 22. https://doi.org/10.1016/j.apples.2025.100222
- van Huyssteen, D., Rivarola, F.L., Etse, G., & Steinmann, P. (2025). Quasi-optimal mesh generation for the virtual element method: A fully adaptive remeshing procedure. Computer Methods in Applied Mechanics and Engineering, 435. https://doi.org/10.1016/j.cma.2024.117630
2024
- Chacón, G., Rivarola, F.L., van Huyssteen, D., Steinmann, P., & Etse, G. (2024). An efficient procedure for concrete fracture analysis based on mesh refinement ergodicity. Computational Mechanics. https://doi.org/10.1007/s00466-024-02509-w
- Firooz, S., Reddy, B.D., Zaburdaev, V., & Steinmann, P. (2024). Mean zero artificial diffusion for stable finite element approximation of convection in cellular aggregate formation. Computer Methods in Applied Mechanics and Engineering, 419, 116649. https://doi.org/10.1016/j.cma.2023.116649
- Friedlein, J., Böhnke, M., Schlichter, M., Bobbert, M., Meschut, G., Mergheim, J., & Steinmann, P. (2024). Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining. Journal of Manufacturing and Materials Processing, 8(4). https://doi.org/10.3390/jmmp8040157
- Greiner, A., Reiter, N., Hinrichsen, J., Kainz, M.P., Sommer, G., Holzapfel, G.A.,... Budday, S. (2024). Model-driven exploration of poro-viscoelasticity in human brain tissue: be careful with the parameters! Interface Focus, 14. https://doi.org/10.1098/rsfs.2024.0026
- Laurien, M., Javili, A., & Steinmann, P. (2024). Nonlocal interfaces accounting for progressive damage within continuum-kinematics-inspired peridynamics. International Journal of Solids and Structures, 290(112641), 1-21. https://doi.org/10.1016/j.ijsolstr.2023.112641
- Laurien, M., Javili, A., & Steinmann, P. (2024). Nonlocal interfaces accounting for progressive damage within continuum-kinematics-inspired peridynamics. International Journal of Solids and Structures, 290. https://doi.org/10.1016/j.ijsolstr.2023.112641
- Liu, Z., McBride, A., Ghosh, A., Heltai, L., Huang, W., Yu, T.,... Saxena, P. (2024). Computational instability analysis of inflated hyperelastic thin shells using subdivision surfaces. Computational Mechanics, 73(2), 257-276. https://doi.org/10.1007/s00466-023-02366-z
- Mehnert, M., Moreno Mateos, M.A., Griwatz, J.H., Müsse, S., Wegner, H.A., & Steinmann, P. (2024). Experimental and numerical investigation of the photo-mechanical response of azobenzene filled soft elastomers, Part I: Experimental investigations. Extreme Mechanics Letters, 102182. https://doi.org/10.1016/j.eml.2024.102182
- Moreno Mateos, M.A., Mehnert, M., & Steinmann, P. (2024). Electro-mechanical actuation modulates fracture performance of soft dielectric elastomers. International Journal of Engineering Science, 195. https://doi.org/10.1016/j.ijengsci.2023.104008
- Moreno Mateos, M.A., & Steinmann, P. (2024). Configurational force method enables fracture assessment in soft materials. Journal of the Mechanics and Physics of Solids, 186, 105602. https://doi.org/10.1016/j.jmps.2024.105602
- Moreno Mateos, M.A., & Steinmann, P. (2024). Crosslinking degree variations enable programming and controlling soft fracture via sideways cracking. npj Computational Materials, 10. https://doi.org/10.1038/s41524-024-01489-y
- Richter, E., Possart, G., Steinmann, P., Pfaller, S., & Ries, M. (2024). Revealing the percolation–agglomeration transition in polymer nanocomposites via MD-informed continuum RVEs with elastoplastic interphases. Composites Part B-Engineering, 281. https://doi.org/10.1016/j.compositesb.2024.111477
- Ries, M., Laubert, L., Steinmann, P., & Pfaller, S. (2024). Impact of the unimodal molar mass distribution on the mechanical behavior of polymer nanocomposites below the glass transition temperature: A generic, coarse-grained molecular dynamics study. European Journal of Mechanics A-Solids, 107. https://doi.org/10.1016/j.euromechsol.2024.105379
- Stankiewicz, G., Dev, C., Weichelt, M., Fey, T., & Steinmann, P. (2024). Towards advanced piezoelectric metamaterial design via combined topology and shape optimization. Structural and Multidisciplinary Optimization, 67(2). https://doi.org/10.1007/s00158-024-03742-w
- Stankiewicz, G., Dev, C., Weichelt, M., Fey, T., & Steinmann, P. (2024). Towards advanced piezoelectric metamaterial design via combined topology and shape optimization. Structural and Multidisciplinary Optimization. https://doi.org/10.1007/s00158-024-03742-w
- Steinmann, P., Schmidt, I., Pivonka, P., & Papastavrou, A. (2024). A computational two-scale approach to cancellous bone remodelling. Advanced Modeling and Simulation in Engineering Sciences, 11(1). https://doi.org/10.1186/s40323-024-00267-1
- Weber, F., Steinmann, P., Pfaller, S., Ries, M., & Dötschel, V. (2024). Evaluating the impact of filler size and filler content on the stiffness, strength, and toughness of polymer nanocomposites using coarse-grained molecular dynamics. Engineering Fracture Mechanics, 307. https://doi.org/10.1016/j.engfracmech.2024.110270
- Wedel, J., Hriberšek, M., Ravnik, J., & Steinmann, P. (2024). A novel pseudo-rigid body approach to the non-linear dynamics of soft micro-particles in dilute viscous flow. Journal of Computational Physics, 519. https://doi.org/10.1016/j.jcp.2024.113377
- Wedel, J., Hriberšek, M., Steinmann, P., & Ravnik, J. (2024). Coefficient of tangential restitution for non-spherical particles. Powder Technology, 437. https://doi.org/10.1016/j.powtec.2024.119526
- Wiesheier, S., Moreno Mateos, M.A., & Steinmann, P. (2024). Versatile data-adaptive hyperelastic energy functions for soft materials. Computer Methods in Applied Mechanics and Engineering, 430, 117208. https://doi.org/10.1016/j.cma.2024.117208
- Zhao, W., Jain, Y., Müller-Plathe, F., Steinmann, P., & Pfaller, S. (2024). Investigating fracture mechanisms in glassy polymers using coupled particle-continuum simulations. Journal of the Mechanics and Physics of Solids, 193. https://doi.org/10.1016/j.jmps.2024.105884
- Zhao, W., Steinmann, P., & Pfaller, S. (2024). Modeling steady state rate- and temperature-dependent strain hardening behavior of glassy polymers. Mechanics of Materials, 195. https://doi.org/10.1016/j.mechmat.2024.105044
- Zhao, W., Xiao, R., Steinmann, P., & Pfaller, S. (2024). Time–temperature correlations of amorphous thermoplastics at large strains based on molecular dynamics simulations. Mechanics of Materials, 190, 104926. https://doi.org/10.1016/j.mechmat.2024.104926
- van Huyssteen, D., Rivarola, F.L., Etse, G., & Steinmann, P. (2024). On adaptive mesh coarsening procedures for the virtual element method for two-dimensional elastic problems. Computer Methods in Applied Mechanics and Engineering, 418. https://doi.org/10.1016/j.cma.2023.116507
2023
- Bielak, C.R., Böhnke, M., Friedlein, J., Bobbert, M., Mergheim, J., Steinmann, P., & Meschut, G. (2023). Numerical analysis of failure modeling in clinching process chain simulation. In Marion Merklein, Hinnerk Hagenah, Joost R. Duflou, Livan Fratini, Fabrizio Micari, Paulo Martins, Gerson Meschut (Eds.), Materials Research Proceedings (pp. 263-270). Erlangen, DEU: Association of American Publishers.
- Böhnke, M., Bielak, C.R., Friedlein, J., Bobbert, M., Mergheim, J., Meschut, G., & Steinmann, P. (2023). A calibration method for failure modeling in clinching process simulations. In Marion Merklein, Hinnerk Hagenah, Joost R. Duflou, Livan Fratini, Fabrizio Micari, Paulo Martins, Gerson Meschut (Eds.), Materials Research Proceedings (pp. 271-278). Erlangen, DEU: Association of American Publishers.
- Dev, C., Stankiewicz, G., & Steinmann, P. (2023). On the influence of free space in topology optimization of electro-active polymers. Structural and Multidisciplinary Optimization, 66(8). https://doi.org/10.1007/s00158-023-03634-5
- Firooz, S., Javili, A., & Steinmann, P. (2023). A versatile implicit computational framework for continuum-kinematics-inspired peridynamics. Computational Mechanics. https://doi.org/10.1007/s00466-023-02415-7
- Flaschel, M., Yu, H., Reiter, N., Hinrichsen, J., Budday, S., Steinmann, P.,... De Lorenzis, L. (2023). Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLID. Journal of the Mechanics and Physics of Solids, 180. https://doi.org/10.1016/j.jmps.2023.105404
- Friedlein, J., Bielak, C., Böhnke, M., Bobbert, M., Meschut, G., Mergheim, J., & Steinmann, P. (2023). Influence of plastic orthotropy on clinching of sheet metal. In Marion Merklein, Hinnerk Hagenah, Joost R. Duflou, Livan Fratini, Fabrizio Micari, Paulo Martins, Gerson Meschut (Eds.), Materials Research Proceedings (pp. 133-140). Erlangen, DEU: Association of American Publishers.
- Friedlein, J., Mergheim, J., & Steinmann, P. (2023). Efficient gradient enhancements for plasticity with ductile damage in the logarithmic strain space. European Journal of Mechanics A-Solids, 99. https://doi.org/10.1016/j.euromechsol.2023.104946
- Hegendörfer, A., Steinmann, P., & Mergheim, J. (2023). An implicitly coupled finite element-electronic circuit simulator method for efficient system simulations of piezoelectric energy harvesters. Journal of Intelligent Material Systems and Structures. https://doi.org/10.1177/1045389X231157359
- Hegendörfer, A., Steinmann, P., & Mergheim, J. (2023). Numerical Optimization of a Nonlinear Nonideal Piezoelectric Energy Harvester Using Deep Learning. Journal of Low Power Electronics and Applications, 13(1). https://doi.org/10.3390/jlpea13010008
- Hübner, D., Herrnböck, L., Wein, F., Mergheim, J., Steinmann, P., & Stingl, M. (2023). Buckling optimization of additively manufactured cellular structures using numerical homogenization based on beam models. Archive of Applied Mechanics. https://doi.org/10.1007/s00419-023-02503-3
- Kainz, M.P., Greiner, A., Hinrichsen, J., Kolb, D., Comellas, E., Steinmann, P.,... Holzapfel, G.A. (2023). Poro-viscoelastic material parameter identification of brain tissue-mimicking hydrogels. Frontiers in Bioengineering and Biotechnology, 11. https://doi.org/10.3389/fbioe.2023.1143304
- Lara Hernandez, J.A., & Steinmann, P. (2023). A numerical study on the visco-plastic regularization of a rate-independent strain gradient crystal plasticity formulation. Computational Mechanics. https://doi.org/10.1007/s00466-023-02420-w
- Laurien, M., Javili, A., & Steinmann, P. (2023). Peridynamic modeling of nonlocal degrading interfaces in composites. Forces in Mechanics, 10. https://doi.org/10.1016/j.finmec.2022.100124
- Lewandowski, K., Barbera, D., Blackwell, P., Roohi, A.H., Athanasiadis, I., McBride, A.,... Kaczmarczyk, Ł. (2023). Multifield finite strain plasticity: Theory and numerics. Computer Methods in Applied Mechanics and Engineering, 414. https://doi.org/10.1016/j.cma.2023.116101
- Mergheim, J., Breuning, C., Burkhardt, C., Hübner, D., Köpf, J., Herrnböck, L.,... Stingl, M. (2023). Additive manufacturing of cellular structures: Multiscale simulation and optimization. Journal of Manufacturing Processes, 95, 275-290. https://doi.org/10.1016/j.jmapro.2023.03.071
- Moreno Mateos, M.A., Hossain, M., Steinmann, P., & Garcia-Gonzalez, D. (2023). Hard magnetics in ultra-soft magnetorheological elastomers enhance fracture toughness and delay crack propagation. Journal of the Mechanics and Physics of Solids, 173. https://doi.org/10.1016/j.jmps.2023.105232
- Nahr, F., Rasch, M., Burkhardt, C., Renner, J., Baumgärtner, B., Hausotte, T.,... Markl, M. (2023). Geometrical Influence on Material Properties for Ti6Al4V Parts in Powder Bed Fusion. Journal of Manufacturing and Materials Processing, 7, 82. https://doi.org/10.3390/jmmp7030082
- Okada, T., Isobe, M., Kosaka, T., Steinmann, P., Matsumori, H., & Matsui, N. (2023). Study on Electric Motor Vibration Suppression by Active Dynamic Vibration Absorber. In 2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023. San Francisco, CA, USA: Institute of Electrical and Electronics Engineers Inc..
- Pranavi, D., Steinmann, P., & Rajagopal, A. (2023). A unifying finite strain modeling framework for anisotropic mixed-mode fracture in soft materials. Computational Mechanics. https://doi.org/10.1007/s00466-023-02359-y
- Ries, M., Bauer, C., Weber, F., Steinmann, P., & Pfaller, S. (2023). Characterization of the material behavior and identification of effective elastic moduli based on molecular dynamics simulations of coarse-grained silica. Mathematics and Mechanics of Solids, 28(5). https://doi.org/10.1177/10812865221108099
- Ries, M., Reber, S., Steinmann, P., & Pfaller, S. (2023). Extending a generic and fast coarse-grained molecular dynamics model to examine the mechanical behavior of grafted polymer nanocomposites. Forces in Mechanics, 12. https://doi.org/10.1016/j.finmec.2023.100207
- Spannraft, L., Steinmann, P., & Mergheim, J. (2023). A generalized anisotropic damage interface model for finite strains. Journal of the Mechanics and Physics of Solids, 174. https://doi.org/10.1016/j.jmps.2023.105255
- Titlbach, A., Papastavrou, A., McBride, A., & Steinmann, P. (2023). A novel micromorphic approach captures non-locality in continuum bone remodelling. Computer Methods in Biomechanics and Biomedical Engineering. https://doi.org/10.1080/10255842.2023.2223331
- Wedel, J., Steinmann, P., Štrakl, M., Hriberšek, M., & Ravnik, J. (2023). Shape matters: Lagrangian tracking of complex nonspherical microparticles in superellipsoidal approximation. International Journal of Multiphase Flow, 158. https://doi.org/10.1016/j.ijmultiphaseflow.2022.104283
- Wedel, J., Štrakl, M., Hriberšek, M., Steinmann, P., & Ravnik, J. (2023). A novel particle–particle and particle–wall collision model for superellipsoidal particles. Computational Particle Mechanics. https://doi.org/10.1007/s40571-023-00618-6
- Wiesheier, S., Mergheim, J., & Steinmann, P. (2023). Discrete data-adaptive approximation of hyperelastic energy functions. Computer Methods in Applied Mechanics and Engineering, 416. https://doi.org/10.1016/j.cma.2023.116366
- Zarzor, M.S., Steinmann, P., & Budday, S. (2023). Multifield computational model for human brain development: Explicit numerical stabilization. Proceedings in Applied Mathematics and Mechanics. https://doi.org/10.1002/pamm.202300288
- Zhan, L., Wang, S., Qu, S., Steinmann, P., & Xiao, R. (2023). A general continuum damage model for soft composites. Journal of the Mechanics and Physics of Solids, 175. https://doi.org/10.1016/j.jmps.2023.105290
- Zhan, L., Wang, S., Qu, S., Steinmann, P., & Xiao, R. (2023). A new micro–macro transition for hyperelastic materials. Journal of the Mechanics and Physics of Solids, 171. https://doi.org/10.1016/j.jmps.2022.105156
2022
- Burkhardt, C., Steinmann, P., & Mergheim, J. (2022). Thermo-mechanical simulations of powder bed fusion processes: accuracy and efficiency. Advanced Modeling and Simulation in Engineering Sciences, 9. https://doi.org/10.1186/s40323-022-00230-y
- Caspari, M., Schwarz, M., & Steinmann, P. (2022). Node Based Non-invasive Form Finding Revisited-The Challenge of Remeshing. Springer International Publishing.
- De Klerk, D.N., Shire, T., Gao, Z., McBride, A.T., Pearce, C.J., & Steinmann, P. (2022). A variational integrator for the Discrete Element Method. Journal of Computational Physics, 462. https://doi.org/10.1016/j.jcp.2022.111253
- Dev, C., Stankiewicz, G., & Steinmann, P. (2022). Sequential topology and shape optimization framework to design compliant mechanisms with boundary stress constraints. Structural and Multidisciplinary Optimization, 65(6). https://doi.org/10.1007/s00158-022-03271-4
- Ekiz, E., Steinmann, P., & Javili, A. (2022). Relationships between the material parameters of continuum-kinematics-inspired peridynamics and isotropic linear elasticity for two-dimensional problems. International Journal of Solids and Structures, 238. https://doi.org/10.1016/j.ijsolstr.2021.111366
- Firooz, S., Chatzigeorgiou, G., Steinmann, P., & Javili, A. (2022). Extended general interfaces: Mori–Tanaka homogenization and average fields. International Journal of Solids and Structures, 254-255. https://doi.org/10.1016/j.ijsolstr.2022.111933
- Firooz, S., Kaessmair, S., Zaburdaev, V., Javili, A., & Steinmann, P. (2022). On continuum modeling of cell aggregation phenomena. Journal of the Mechanics and Physics of Solids, 167. https://doi.org/10.1016/j.jmps.2022.105004
- Friedlein, J., Mergheim, J., & Steinmann, P. (2022). Influence of Kinematic Hardening on Clinch Joining of Dual-Phase Steel HCT590X Sheet Metal. In Kaan Inal, Michael Worswick, Cliff Butcher, Julie Levesque (Eds.), Minerals, Metals and Materials Series (pp. 329-344). Toronto, ON, CAN: Springer Science and Business Media Deutschland GmbH.
- Friedlein, J., Mergheim, J., & Steinmann, P. (2022). Observations on additive plasticity in the logarithmic strain space at excessive strains. International Journal of Solids and Structures, 239. https://doi.org/10.1016/j.ijsolstr.2021.111416
- Hegendörfer, A., Steinmann, P., & Mergheim, J. (2022). Investigation of a nonlinear piezoelectric energy harvester with advanced electric circuits with the finite element method. SN Applied Sciences, 4(4). https://doi.org/10.1007/s42452-022-05003-1
- Herrnböck, L., Kumar, A., & Steinmann, P. (2022). Two-scale off-and online approaches to geometrically exact elastoplastic rods. Computational Mechanics. https://doi.org/10.1007/s00466-022-02204-8
- Hu, R., Liu, Y., Ravnik, J., Hriberšek, M., Steinmann, P., & Cui, Y. (2022). A hybrid analytical–numerical model for calculating the maximum elastic force acting on a flow-driven elastic prolate spheroidal particle during its collision with a rigid wall. Computational Mechanics. https://doi.org/10.1007/s00466-021-02127-w
- Kumar, P., Phansalkar, D., Mergheim, J., Leyendecker, S., & Steinmann, P. (2022). Computational Fracture Modeling in Heterogeneous Materials - Recent Advances and Future Challenges. In Proceedings of the conference, WCCM-APCOM 15th World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics. Yokohama (online), JP.
- Kumar, P., Steinmann, P., & Mergheim, J. (2022). A graded interphase enhanced phase-field approach for modeling fracture in polymer composites. Forces in Mechanics, 9. https://doi.org/10.1016/j.finmec.2022.100135
- Lakshmipathy, T., Steinmann, P., & Bitzek, E. (2022). LEFM is agnostic to geometrical nonlinearities arising at atomistic crack tips. Forces in Mechanics, 9, 100127. https://doi.org/10.1016/j.finmec.2022.100127
- Laurien, M., Javili, A., & Steinmann, P. (2022). A nonlocal interface approach to peridynamics exemplified by continuum‐kinematics‐inspired peridynamics. International Journal for Numerical Methods in Engineering. https://doi.org/10.1002/nme.6975
- Laurien, M., Javili, A., & Steinmann, P. (2022). Peridynamic modeling of nonlocal degrading interfaces in composites. Forces in Mechanics, 100124. https://doi.org/10.1016/j.finmec.2022.100124
- Lengger, M., Possart, G., & Steinmann, P. (2022). A viscoelastic Mooney-Rivlin model for adhesive curing and first steps toward its calibration based on photoelasticity measurements. Archive of Applied Mechanics. https://doi.org/10.1007/s00419-022-02273-4
- Liu, Z., McBride, A., Saxena, P., Heltai, L., Qu, Y., & Steinmann, P. (2022). Vibration analysis of piezoelectric Kirchhoff–Love shells based on Catmull–Clark subdivision surfaces. International Journal for Numerical Methods in Engineering. https://doi.org/10.1002/nme.7010
- Mehnert, M., Faber, J., Hossain, M., Chester, S.A., & Steinmann, P. (2022). Experimental and numerical investigation of the electro-mechanical response of particle filled elastomers - Part I: Experimental investigations. European Journal of Mechanics A-Solids, 96. https://doi.org/10.1016/j.euromechsol.2022.104651
- Mehnert, M., Faber, J., Hossain, M., Chester, S.A., & Steinmann, P. (2022). Experimental and numerical investigations of the electro-mechanical response of particle filled elastomers—Part II: Continuum modeling approach. European Journal of Mechanics A-Solids, 96. https://doi.org/10.1016/j.euromechsol.2022.104661
- Mehnert, M., Oates, W., & Steinmann, P. (2022). Numerical modeling of nonlinear photoelasticity. International Journal for Numerical Methods in Engineering. https://doi.org/10.1002/nme.7177
- Moreno Mateos, M.A., Hossain, M., Steinmann, P., & Garcia-Gonzalez, D. (2022). Hybrid magnetorheological elastomers enable versatile soft actuators. npj Computational Materials, 8(1). https://doi.org/10.1038/s41524-022-00844-1
- Ravnik, J., Štrakl, M., Wedel, J., Steinmann, P., & Hriberšek, M. (2022). STOKES FLOW INDUCED DRAG AND TORQUE ON ASBESTOS-LIKE FIBRES CANNOT BE ESTIMATED BY A SIMPLISTIC ELLIPSOIDAL APPROXIMATION. In Alexander H.-D. Cheng (Eds.), WIT Transactions on Engineering Sciences (pp. 33-44). Online: WITPress.
- Ries, M., Bauer, C., Weber, F., Steinmann, P., & Pfaller, S. (2022). Characterization of the material behavior and identification of effective elastic moduli based on molecular dynamics simulations of coarse-grained silica. Mathematics and Mechanics of Solids. https://doi.org/10.1177/10812865221108099
- Ries, M., Seibert, J., Steinmann, P., & Pfaller, S. (2022). Applying a generic and fast coarse-grained molecular dynamics model to extensively study the mechanical behavior of polymer nanocomposites. eXPRESS Polymer Letters, 16, 1304-1321. https://doi.org/10.3144/expresspolymlett.2022.94
- Ries, M., Weber, F., Possart, G., Steinmann, P., & Pfaller, S. (2022). A quantitative interphase model for polymer nanocomposites: Verification, validation, and consequences regarding size effects. Composites Part A-Applied Science and Manufacturing, 161. https://doi.org/10.1016/j.compositesa.2022.107094
- Ritter, J., Shegufta, S., Steinmann, P., & Zaiser, M. (2022). An energetically consistent surface correction method for bond-based peridynamics. Forces in Mechanics, 9. https://doi.org/10.1016/j.finmec.2022.100132
- Schaller, E., Javili, A., Schmidt, I., Papastavrou, A., & Steinmann, P. (2022). A peridynamic formulation for nonlocal bone remodelling. Computer Methods in Biomechanics and Biomedical Engineering. https://doi.org/10.1080/10255842.2022.2039641
- Schaller, E., Javili, A., & Steinmann, P. (2022). Open system peridynamics. Continuum Mechanics and Thermodynamics. https://doi.org/10.1007/s00161-022-01105-8
- Schmelzle, L., Mergheim, J., Possart, G., Steinmann, P., Striewe, M., & Meschut, G. (2022). Experimentelle und numerische Untersuchung des Einflusses variabler Betriebstemperaturen auf das Trag- und Versagensverhalten struktureller Klebverbindungen unter Crashbelastung. In Tagungsband 22. Kolloquium: Gemeinsame Forschung in der Klebtechnik. Online-Tagung, DE.
- Schmelzle, L., Striewe, M., Mergheim, J., Meschut, G., Possart, G., Teutenberg, D.,... Steinmann, P. (2022). Testing, modelling, and parameter identification for adhesively bonded joints under the influence of temperature. Journal of Adhesion Science and Technology, 1-32. https://doi.org/10.1080/01694243.2022.2125714
- Spannraft, L., Possart, G., Steinmann, P., & Mergheim, J. (2022). Generalized interfaces enabling macroscopic modeling of structural adhesives and their failure. Forces in Mechanics, 9. https://doi.org/10.1016/j.finmec.2022.100137
- Stanisauskis, E., Mashayekhi, S., Pahari, B., Mehnert, M., Steinmann, P., & Oates, W. (2022). Fractional and fractal order effects in soft elastomers: Strain rate and temperature dependent nonlinear mechanics. Mechanics of Materials, 172. https://doi.org/10.1016/j.mechmat.2022.104390
- Stankiewicz, G., Dev, C., & Steinmann, P. (2022). Geometrically nonlinear design of compliant mechanisms: Topology and shape optimization with stress and curvature constraints. Computer Methods in Applied Mechanics and Engineering, 397. https://doi.org/10.1016/j.cma.2022.115161
- Steinmann, P. (2022). Consequences of Thermodynamical Balances. In Spatial and Material Forces in Nonlinear Continuum Mechanics. (pp. 329-359). Springer Science and Business Media B.V..
- Steinmann, P. (2022). Kinematical ‘Balances’*. In Spatial and Material Forces in Nonlinear Continuum Mechanics. (pp. 127-155). Springer Science and Business Media B.V..
- Steinmann, P. (2022). Kinematics at Singular Sets. In Spatial and Material Forces in Nonlinear Continuum Mechanics. (pp. 61-86). Springer Science and Business Media B.V..
- Steinmann, P. (2022). Kinematics in Bulk Volumes. In Spatial and Material Forces in Nonlinear Continuum Mechanics. (pp. 19-36). Springer Science and Business Media B.V..
- Steinmann, P. (2022). Kinematics on Dimensionally Reduced Smooth Manifolds. In Spatial and Material Forces in Nonlinear Continuum Mechanics. (pp. 37-60). Springer Science and Business Media B.V..
- Steinmann, P. (2022). Mechanical Balances. In Spatial and Material Forces in Nonlinear Continuum Mechanics. (pp. 157-188). Springer Science and Business Media B.V..
- Steinmann, P. (2022). Variational Setting. In Spatial and Material Forces in Nonlinear Continuum Mechanics. (pp. 265-297). Springer Science and Business Media B.V..
- Steinmann, P. (2022). Virtual Work. In Spatial and Material Forces in Nonlinear Continuum Mechanics. (pp. 231-263). Springer Science and Business Media B.V..
- Wakeni, M.F., Aggarwal, A., Kaczmarczyk, Ł., McBride, A.T., Athanasiadis, I., Pearce, C.J., & Steinmann, P. (2022). A p-adaptive, implicit-explicit mixed finite element method for diffusion-reaction problems. International Journal for Numerical Methods in Engineering. https://doi.org/10.1002/nme.6967
- Wang, J., Fan, C., & Steinmann, P. (2022). Modeling the dynamic magneto-mechanical response of magnetic shape memory alloys based on Hamilton's principle: The governing equation system. Journal of the Mechanics and Physics of Solids, 160. https://doi.org/10.1016/j.jmps.2021.104761
- Wedel, J., Steinmann, P., Strakl, M., Hribersek, M., & Ravnik, J. (2022). Correction to: Risk Assessment of Infection by Airborne Droplets and Aerosols at Different Levels of Cardiovascular Activity (Archives of Computational Methods in Engineering, (2021), 28, 6, (4297-4316), 10.1007/s11831-021-09613-7). Archives of Computational Methods in Engineering, 29(1), 735-. https://doi.org/10.1007/s11831-021-09680-w
- Wedel, J., Steinmann, P., Štrakl, M., Hriberšek, M., Cui, Y., & Ravnik, J. (2022). Anatomy matters: The role of the subject-specific respiratory tract on aerosol deposition — A CFD study. Computer Methods in Applied Mechanics and Engineering. https://doi.org/10.1016/j.cma.2022.115372
- Wedel, J., Strakl, M., Ravnik, J., Steinmann, P., & Hribersek, M. (2022). A specific slip length model for the Maxwell slip boundary conditions in the Navier–Stokes solution of flow around a microparticle in the no-slip and slip flow regimes. Theoretical and Computational Fluid Dynamics. https://doi.org/10.1007/s00162-022-00627-w
- Xiao, R., Tian, C., Xu, Y., & Steinmann, P. (2022). Thermomechanical coupling in glassy polymers: An effective temperature theory. International Journal of Plasticity, 156. https://doi.org/10.1016/j.ijplas.2022.103361
- van Huyssteen, D., Rivarola, F.L., Etse, G., & Steinmann, P. (2022). On mesh refinement procedures for the virtual element method for two-dimensional elastic problems. Computer Methods in Applied Mechanics and Engineering, 393. https://doi.org/10.1016/j.cma.2022.114849
- Štrakl, M., Hriberšek, M., Wedel, J., Steinmann, P., & Ravnik, J. (2022). A Model for Translation and Rotation Resistance Tensors for Superellipsoidal Particles in Stokes Flow. Journal of Marine Science and Engineering, 10(3). https://doi.org/10.3390/jmse10030369
- Štrakl, M., Wedel, J., Steinmann, P., Hriberšek, M., & Ravnik, J. (2022). NUMERICAL DRAG AND LIFT PREDICTION FRAMEWORK FOR SUPERELLIPSOIDAL PARTICLES IN MULTIPHASE FLOWS. International Journal of Computational Methods and Experimental Measurements, 10(1), 38-49. https://doi.org/10.2495/CMEM-V10-N1-38-49
2021
- Birang Oskouei, S., Park, H.S., Smith, A.-S., & Steinmann, P. (2021). Atomistic configurational forces in crystalline fracture. Forces in Mechanics, 4, 100044. https://doi.org/10.1016/j.finmec.2021.100044
- Birang Oskouei, S., Smith, A.-S., & Steinmann, P. (2021). Configurational Forces in Bond Order Potentials. Proceedings in Applied Mathematics and Mechanics, 21. https://doi.org/10.1002/pamm.202100160
- Birang Oskouei, S., Smith, A.-S., & Steinmann, P. (2021). Phonon-based thermal configurational forces: Definitions and applications in rupture of semiconductors. Engineering Fracture Mechanics, 257. https://doi.org/10.1016/j.engfracmech.2021.108014
- Birang Oskouei, S., & Steinmann, P. (2021). Discrete configurational mechanics for the computational study of atomistic fracture mechanics. Forces in Mechanics, 2, 100009. https://doi.org/10.1016/j.finmec.2020.100009
- Firooz, S., Steinmann, P., & Javili, A. (2021). Homogenization of Composites With Extended General Interfaces: Comprehensive Review and Unified Modeling. Applied Mechanics Reviews, 73(4). https://doi.org/10.1115/1.4051481
- Floros, D., Jobst, A., Kergaßner, A., Merklein, M., & Steinmann, P. (2021). Towards an holistic account on residual stresses in full-forward extruded rods: Experiment, modeling and simulation of forming and operation phases. Archive of Applied Mechanics. https://doi.org/10.1007/s00419-021-01917-1
- Friedlein, J., Mergheim, J., & Steinmann, P. (2021). A finite plasticity gradient-damage model for sheet metals during forming and clinching. In Key Engineering Materials (pp. 57-64). Virtual, Online: Trans Tech Publications Ltd.
- Friedlein, J., Wituschek, S., Lechner, M., Mergheim, J., & Steinmann, P. (2021). Inverse parameter identification of an anisotropic plasticity model for sheet metal. In INTERNATIONAL DEEP-DRAWING RESEARCH GROUP CONFERENCE (IDDRG 2021). , ELECTR NETWORK: BRISTOL: IOP PUBLISHING LTD.
- Greiner, A., Reiter, N., Paulsen, F., Holzapfel, G.A., Steinmann, P., Comellas Sanfeliu, E., & Budday, S. (2021). Poro-Viscoelastic Effects During Biomechanical Testing of Human Brain Tissue. Frontiers in Mechanical Engineering, 7. https://doi.org/10.3389/fmech.2021.708350
- Hegendörfer, A., Steinmann, P., & Mergheim, J. (2021). Nonlinear finite element system simulation of piezoelectric vibration-based energy harvesters. Journal of Intelligent Material Systems and Structures. https://doi.org/10.1177/1045389X211048222
- Herrnböck, L., Kumar, A., & Steinmann, P. (2021). Geometrically exact elastoplastic rods: determination of yield surface in terms of stress resultants. Computational Mechanics. https://doi.org/10.1007/s00466-020-01957-4
- Herrnböck, L., & Steinmann, P. (2021). Homogenization of fully nonlinear rod lattice structures: on the size of the RVE and micro structural instabilities. Computational Mechanics. https://doi.org/10.1007/s00466-021-02123-0
- Javili, A., Ekiz, E., McBride, A.T., & Steinmann, P. (2021). Continuum-kinematics-inspired peridynamics: Thermo-mechanical problems. Continuum Mechanics and Thermodynamics. https://doi.org/10.1007/s00161-021-01000-8
- Javili, A., McBride, A., & Steinmann, P. (2021). A geometrically exact formulation of peridynamics. Theoretical and Applied Fracture Mechanics, 111. https://doi.org/10.1016/j.tafmec.2020.102850
- Javili, A., McBride, A., & Steinmann, P. (2021). Kinematically exact peridynamics. Elsevier.
- Jobst, A., Floros, D., Steinmann, P., & Merklein, M. (2021). Component residual stress control in forward rod extrusion by material flow and tribology—experiments and modeling. Forschung Im Ingenieurwesen-Engineering Research. https://doi.org/10.1007/s10010-021-00509-3
- Kergaßner, A., Köpf, J., Markl, M., Körner, C., Mergheim, J., & Steinmann, P. (2021). A Novel Approach to Predict the Process-Induced Mechanical Behavior of Additively Manufactured Materials. Journal of Materials Engineering and Performance. https://doi.org/10.1007/s11665-021-05725-0
- Kumar, P., Steinmann, P., & Mergheim, J. (2021). Enhanced computational homogenization techniques for modelling size effects in polymer composites. Computational Mechanics. https://doi.org/10.1007/s00466-021-02037-x
- Käßmair, S., Runesson, K., Steinmann, P., Jänicke, R., & Larsson, F. (2021). Variationally consistent computational homogenization of chemomechanical problems with stabilized weakly periodic boundary conditions. International Journal for Numerical Methods in Engineering. https://doi.org/10.1002/nme.6798
- Laurien, M., Javili, A., & Steinmann, P. (2021). Nonlocal wrinkling instabilities in bilayered systems using peridynamics. Computational Mechanics. https://doi.org/10.1007/s00466-021-02057-7
- Lippold, D., Kergaßner, A., Burkhardt, C., Kergaßner, M., Loos, J., Nistler, S.,... Budday, S. (2021). Spatiotemporal modeling of first and second wave outbreak dynamics of COVID‐19 in Germany. Biomechanics and Modeling in Mechanobiology. https://doi.org/10.1007/s10237-021-01520-x
- Liu, Z., Mcbride, A., Sharma, B.L., Steinmann, P., & Saxena, P. (2021). Coupled electro-elastic deformation and instabilities of a toroidal membrane. Journal of the Mechanics and Physics of Solids, 151. https://doi.org/10.1016/j.jmps.2020.104221
- Mehnert, M., Hossain, M., & Steinmann, P. (2021). A complete thermo-electro-viscoelastic characterization of dielectric elastomers, Part I: Experimental investigations. Journal of the Mechanics and Physics of Solids, 104603. https://doi.org/10.1016/j.jmps.2021.104603
- Mehnert, M., Hossain, M., & Steinmann, P. (2021). A complete thermo-electro-viscoelastic characterization of dielectric elastomers, Part II: Continuum modeling approach. Journal of the Mechanics and Physics of Solids, 157, 104625. https://doi.org/10.1016/j.jmps.2021.104625
- Mehnert, M., Oates, W., & Steinmann, P. (2021). A geometrically exact continuum framework for light-matter interaction in photo-active polymers I. Variational setting. International Journal of Solids and Structures, 226-227. https://doi.org/10.1016/j.ijsolstr.2021.111073
- Pivovarov, D., Mergheim, J., Willner, K., & Steinmann, P. (2021). Stochastic local FEM for computational homogenization of heterogeneous materials exhibiting large plastic deformations. Computational Mechanics. https://doi.org/10.1007/s00466-021-02099-x
- Reddy, B.D., Steinmann, P., & Kergaßner, A. (2021). A thermodynamically consistent theory of stress-gradient plasticity. Journal of the Mechanics and Physics of Solids, 147, 104266. https://doi.org/10.1016/j.jmps.2020.104266
- Ries, M., Jain, Y., Steinmann, P., & Pfaller, S. (2021, September). Revised Boundary Conditions for FE-MD Multiscale Coupling of Amorphous Polymers. Paper presentation at VIII Conference on Mechanical Response of Composites, Online.
- Ries, M., Possart, G., Steinmann, P., & Pfaller, S. (2021). A coupled MD-FE methodology to characterize mechanical interphases in polymeric nanocomposites. International Journal of Mechanical Sciences, 106564. https://doi.org/10.1016/j.ijmecsci.2021.106564
- Ries, M., Steinmann, P., & Pfaller, S. (2021). The Hybrid Capriccio Method: A 1D Study for Further Advancement. In F. Chinesta, R. Abgrall, O. Allix, M. Kaliske (Eds.), Multiscale and Multiphysics Systems, 2021.
- Ries, M., Weber, F., Striegel, M., Steinmann, P., & Pfaller, S. (2021). Multiscale FE-MD Coupling: Influence of the Chain Length on the Mechanical Behavior of Coarse-Grained Polystyrene. In F. Chinesta, R. Abgrall, O. Allix and M. Kaliske (Eds.), Multiscale and Multiphysics Systems, 2021.
- Saeb, S., Firooz, S., Steinmann, P., & Javili, A. (2021). Generalized interfaces via weighted averages for application to graded interphases at large deformations. Journal of the Mechanics and Physics of Solids. https://doi.org/10.1016/j.jmps.2020.104234
- Schmidt, I., Albert, J., Ritthaler, M., Papastavrou, A., & Steinmann, P. (2021). Bone fracture healing within a continuum bone remodelling framework. Computer Methods in Biomechanics and Biomedical Engineering. https://doi.org/10.1080/10255842.2021.1998465
- Schmidt, I., Papastavrou, A., & Steinmann, P. (2021). Concurrent consideration of cortical and cancellous bone within continuum bone remodelling. Computer Methods in Biomechanics and Biomedical Engineering. https://doi.org/10.1080/10255842.2021.1880573
- Smriti, ., Kumar, A., & Steinmann, P. (2021). A finite element formulation for a direct approach to elastoplasticity in special Cosserat rods. International Journal for Numerical Methods in Engineering. https://doi.org/10.1002/nme.6566
- Soldner, D., Steinmann, P., & Mergheim, J. (2021). Modeling crystallization kinetics for selective laser sintering of polyamide 12. GAMM-Mitteilungen. https://doi.org/10.1002/gamm.202100011
- Stankiewicz, G., Dev, C., & Steinmann, P. (2021). Coupled topology and shape optimization using an embedding domain discretization method. Structural and Multidisciplinary Optimization. https://doi.org/10.1007/s00158-021-03024-9
- Steinmann, P., & Runesson, K. (2021). The Catalogue of Computational Material Models: Basic Geometrically Linear Models in 1D. Springer International Publishing.
- Steinmann, P., Smith, A.-S., Birang Oskouei, S., Birang, E., McBride, A., & Javili, A. (2021). Atomistic two-, three- and four-body potentials. Spatial and material settings. Journal of the Mechanics and Physics of Solids, 154. https://doi.org/10.1016/j.jmps.2021.104507
- Wedel, J., Steinmann, P., Strakl, M., Hribersek, M., & Ravnik, J. (2021). Can CFD establish a connection to a milder COVID-19 disease in younger people? Aerosol deposition in lungs of different age groups based on Lagrangian particle tracking in turbulent flow. Computational Mechanics. https://doi.org/10.1007/s00466-021-01988-5
- Wedel, J., Steinmann, P., Strakl, M., Hribersek, M., & Ravnik, J. (2021). Risk Assessment of Infection by Airborne Droplets and Aerosols at Different Levels of Cardiovascular Activity. Archives of Computational Methods in Engineering. https://doi.org/10.1007/s11831-021-09613-7
- Zarzor, M.S., Käßmair, S., Steinmann, P., Blümcke, I., & Budday, S. (2021). A two-field computational model couples cellular brain development with cortical folding. Brain Multiphysics, 2, 100025. https://doi.org/10.1016/j.brain.2021.100025
- Zarzor, M.S., Käßmair, S., Steinmann, P., Blümcke, I., & Budday, S. (2021). Exploring the interplay between cellular development and mechanics in the developing human brain. Proceedings in Applied Mathematics and Mechanics, 21. https://doi.org/10.1002/pamm.202100104
- Zhao, W., Ries, M., Steinmann, P., & Pfaller, S. (2021). A viscoelastic-viscoplastic constitutive model for glassy polymers informed by molecular dynamics simulations. International Journal of Solids and Structures, 111071. https://doi.org/10.1016/j.ijsolstr.2021.111071
- Zhao, W., Steinmann, P., & Pfaller, S. (2021). A particle‐continuum coupling method for multiscale simulations of viscoelastic‐viscoplastic amorphous glassy polymers. International Journal for Numerical Methods in Engineering. https://doi.org/10.1002/nme.6836
2020
- Budday, S., Ovaert, T., Holzapfel, G.A., Steinmann, P., & Kuhl, E. (2020). Fifty Shades of Brain: A Review on the Mechanical Testing and Modeling of Brain Tissue. Archives of Computational Methods in Engineering, 27, 1187–1230. https://doi.org/10.1007/s11831-019-09352-w
- Budday, S., Sarem, M., Starck, L., Sommer, G., Pfefferle, J., Phunchago, N.,... Holzapfel, G.A. (2020). Towards microstructure-informed material models for human brain tissue. Acta Biomaterialia, 104, 53-65. https://doi.org/10.1016/j.actbio.2019.12.030
- Caspari, M., Landkammer, P., & Steinmann, P. (2020). Shape Optimization of a Backward Extrusion Process Using a Non-Invasive Form Finding Algorithm. Procedia Manufacturing, 23rd International Conference on Material Forming(47), 873-880. https://doi.org/10.1016/j.promfg.2020.04.273
- Comellas Sanfeliu, E., Budday, S., Pelteret, J.-P., Holzapfel, G.A., & Steinmann, P. (2020). Modeling the porous and viscous responses of human brain tissue behavior. Computer Methods in Applied Mechanics and Engineering, 369. https://doi.org/10.1016/j.cma.2020.113128
- Cui, Y., Ravnik, J., Hriberšek, M., & Steinmann, P. (2020). Towards a unified shear-induced lift model for prolate spheroidal particles moving in arbitrary non-uniform flow. Computers & Fluids, 196. https://doi.org/10.1016/j.compfluid.2019.104323
- Davydov, D., Pelteret, J.-P., Arndt, D., Kronbichler, M., & Steinmann, P. (2020). A matrix-free approach for finite-strain hyperelastic problems using geometric multigrid. International Journal for Numerical Methods in Engineering. https://doi.org/10.1002/nme.6336
- Distler, T., Schaller, E., Steinmann, P., Boccaccini, A.R., & Budday, S. (2020). Alginate-based hydrogels show the same complex mechanical behavior as brain tissue. Journal of the Mechanical Behavior of Biomedical Materials, 111. https://doi.org/10.1016/j.jmbbm.2020.103979
- Hasegawa, R., Mehnert, M., Mergheim, J., Steinmann, P., & Kakimoto, K. (2020). Behavior of vibration energy harvesters composed of polymer fibers and piezoelectric ceramic particles. Sensors and Actuators A-Physical, 303. https://doi.org/10.1016/j.sna.2019.111699
- Javili, A., Firooz, S., McBride, A.T., & Steinmann, P. (2020). The computational framework for continuum-kinematics-inspired peridynamics. Computational Mechanics. https://doi.org/10.1007/s00466-020-01885-3
- Kergaßner, A., Burkhardt, C., Lippold, D., Kergaßner, M., Pflug, L., Budday, D.,... Budday, S. (2020). Memory-based meso-scale modeling of Covid-19. Computational Mechanics. https://doi.org/10.1007/s00466-020-01883-5
- Käßmair, S., & Steinmann, P. (2020). Computational Mechanics of Generalized Continua. In Holm Altenbach, Andreas Öchsner (Eds.), Encyclopedia of Continuum Mechanics. Berlin, Heidelberg: Springer Nature.
- Liao, Z., Hossain, M., Yao, X., Mehnert, M., & Steinmann, P. (2020). On thermo-viscoelastic experimental characterization and numerical modelling of VHB polymer. International Journal of Non-Linear Mechanics, 118. https://doi.org/10.1016/j.ijnonlinmec.2019.103263
- Liu, Z., McBride, A., Saxena, P., & Steinmann, P. (2020). Assessment of an isogeometric approach with Catmull–Clark subdivision surfaces using the Laplace–Beltrami problems. Computational Mechanics. https://doi.org/10.1007/s00466-020-01877-3
- McBride, A.T., Davydov, D., & Steinmann, P. (2020). Modelling the flexoelectric effect in solids: A micromorphic approach. Computer Methods in Applied Mechanics and Engineering, 371. https://doi.org/10.1016/j.cma.2020.113320
- Misra, J.C., Mallick, B., & Steinmann, P. (2020). Temperature distribution and entropy generation during Darcy–Forchheimer–Brinkman electrokinetic flow in a microfluidic tube subject to a prescribed heat flux. Meccanica. https://doi.org/10.1007/s11012-020-01152-y
- Papastavrou, A., Schmidt, I., Deng, K., & Steinmann, P. (2020). On age-dependent bone remodeling. Journal of Biomechanics. https://doi.org/10.1016/j.jbiomech.2020.109701
- Papastavrou, A., Schmidt, I., & Steinmann, P. (2020). On biological availability dependent bone remodeling. Computer Methods in Biomechanics and Biomedical Engineering. https://doi.org/10.1080/10255842.2020.1736050
- Pelteret, J.-P., & Steinmann, P. (2020). Magneto-active polymers: Fabrication, characterisation, modelling and simulation at the micro- and macro-scale. De Gruyter.
- Ries, M., Steinmann, P., & Pfaller, S. (2020). Characterization of Polystyrene Under Shear Deformation Using Molecular Dynamics. In Developments and Novel Approaches in Nonlinear Solid Body Mechanics. (pp. 219-229). Springer, Cham.
- Soldner, D., Greiner, S., Burkhardt, C., Drummer, D., Steinmann, P., & Mergheim, J. (2020). Numerical and experimental investigation of the isothermal assumption in selective laser sintering of PA12. Additive Manufacturing. https://doi.org/10.1016/j.addma.2020.101676
- Spannraft, L., Ekh, M., Larsson, F., Runesson, K., & Steinmann, P. (2020). Grain boundary interaction based on gradient crystal inelasticity and decohesion. Computational Materials Science, 178. https://doi.org/10.1016/j.commatsci.2020.109604
- Steinmann, P. (2020). ANALYTICAL MECHANICS ALLOWS NOVEL VISTAS ON MATHEMATICAL EPIDEMIC DYNAMICS MODELING. Mathematics and Mechanics of Complex Systems, 8(4), 321-343. https://doi.org/10.2140/memocs.2020.8.321
- Söhngen, B., Caspari, M., Willner, K., & Steinmann, P. (2020). On Optimization Strategies for Inverse Problems in Metalforming. In Marion Merklein, A. Erman Tekkaya, Bernd-Arno Behrens (Eds.), Sheet Bulk Metal Forming - Research Results of the TCRC73. (pp. 354-377). Zug: Springer Nature Switzerland.
- Verhnjak, O., Hriberšek, M., Steinmann, P., & Ravnik, J. (2020). A novel two-way coupling model for Euler-Lagrange simulations of multiphase flow. Engineering Analysis With Boundary Elements, 119, 119-132. https://doi.org/10.1016/j.enganabound.2020.07.012
- Zabihyan, R., Mergheim, J., Pelteret, J.-P., Brands, B., & Steinmann, P. (2020). FE2 simulations of magnetorheological elastomers: influence of microscopic boundary conditions, microstructures and free space on the macroscopic responses of MREs. International Journal of Solids and Structures, 193-194, 338-356. https://doi.org/10.1016/j.ijsolstr.2020.02.015