Paul Steinmann

ORCID: 0000-0003-1490-947X
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About
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Research Areas
  • Elasticity and Material Modeling
  • Composite Material Mechanics
  • Numerical methods in engineering
  • Nonlocal and gradient elasticity in micro/nano structures
  • Composite Structure Analysis and Optimization
  • Advanced Numerical Methods in Computational Mathematics
  • Advanced Mathematical Modeling in Engineering
  • Vibration Control and Rheological Fluids
  • Metal Forming Simulation Techniques
  • Topology Optimization in Engineering
  • Polymer Nanocomposites and Properties
  • Mechanical Behavior of Composites
  • Dielectric materials and actuators
  • Microstructure and mechanical properties
  • Fatigue and fracture mechanics
  • Elasticity and Wave Propagation
  • Polymer crystallization and properties
  • Thermoelastic and Magnetoelastic Phenomena
  • Metallurgy and Material Forming
  • Advanced Numerical Analysis Techniques
  • Contact Mechanics and Variational Inequalities
  • Electromagnetic Simulation and Numerical Methods
  • Rheology and Fluid Dynamics Studies
  • Numerical methods for differential equations
  • Rock Mechanics and Modeling

Friedrich-Alexander-Universität Erlangen-Nürnberg
2016-2025

University of Glasgow
2017-2024

Pontificia Universidad Católica de Chile
2023

University of Kaiserslautern
2001-2022

University of Colorado Boulder
1991-2022

Institut National des Sciences Appliquées de Lyon
2022

Universidade Federal do Rio de Janeiro
2022

Duke University
2022

Sorbonne Université
2022

Polish Academy of Sciences
2022

10.1016/j.jmbbm.2015.02.024 article EN Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials 2015-03-02

Convolutions are a classical hallmark of most mammalian brains. Brain surface morphology is often associated with intelligence and closely correlated neurological dysfunction. Yet, we know surprisingly little about the underlying mechanisms cortical folding. Here identify role key anatomic players during folding process: thickness, stiffness, growth. To establish estimates for critical time, pressure, wavelength at onset folding, derive an analytical model using Föppl–von Kármán theory....

10.1016/j.jmps.2014.07.010 article EN cc-by Journal of the Mechanics and Physics of Solids 2014-08-09

Abstract The present contribution is concerned with the computational modelling of cohesive cracks in quasi‐brittle materials, whereby discontinuity not limited to interelement boundaries, but allowed propagate freely through elements. In elements, which are intersected by discontinuity, additional displacement degrees freedom introduced at existing nodes. Therefore, two independent copies standard basis functions used. One set put zero on one side while it takes its usual values opposite...

10.1002/nme.1286 article EN International Journal for Numerical Methods in Engineering 2005-02-21

Abstract The numerical modelling of non‐linear electroelasticity is presented in this work. Based on well‐established basic equations a variational formulation built and the finite element method employed to solve electro‐mechanical coupling problem. Numerical examples are show accuracy implemented formulation. Copyright © 2006 John Wiley & Sons, Ltd.

10.1002/nme.1902 article EN International Journal for Numerical Methods in Engineering 2006-10-23

10.1016/j.commatsci.2012.02.027 article EN Computational Materials Science 2012-03-22

10.1016/j.jmbbm.2017.07.014 article EN Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials 2017-07-11

Abstract Rubber-like materials can deform largely and nonlinearly upon loading, they return to the initial configuration when load is removed. Such rubber elasticity achieved due very flexible long-chain molecules a three-dimensional network structure that formed via cross-linking or entanglements between molecules. Over years, model mechanical behavior of such randomly oriented microstructures, several phenomenological micromechanically motivated models for nearly incompressible...

10.1515/jmbm-2012-0007 article EN cc-by-nc Journal of the Mechanical Behavior of Materials 2013-05-30

10.1016/j.ijsolstr.2013.07.024 article EN publisher-specific-oa International Journal of Solids and Structures 2013-08-02

10.1016/j.ijsolstr.2013.08.024 article EN publisher-specific-oa International Journal of Solids and Structures 2013-09-10

Selective electron beam melting of Ti-6Al-4V is a promising additive manufacturing process to produce complex parts layer-by-layer additively. The quality and dimensional accuracy the produced depend on various parameters their interactions. In present contribution, lifetime, width depth pools molten powder material are analyzed for different powers, scan speeds line energies in experiments simulations. experiments, thin-walled structures built with an ARCAM AB A2 selective machine...

10.1007/s00170-016-8819-6 article EN cc-by The International Journal of Advanced Manufacturing Technology 2016-05-12

10.1016/j.cma.2016.12.025 article EN Computer Methods in Applied Mechanics and Engineering 2016-12-22

Abstract Interphase regions that form in heterogeneous materials through various underlying mechanisms such as poor mechanical or chemical adherence, roughness, and coating, play a crucial role the response of medium. A well- established strategy to capture finite-thickness interphase behavior is replace it with zero-thickness interface model characterized by its own displacement and/or traction jumps, resulting different models. The contributions date dealing interfaces commonly assume...

10.1115/1.4051481 article EN Applied Mechanics Reviews 2021-06-15

Abstract Recent advances in magnetorheological elastomers (MREs) have posed the question on whether combination of both soft- and hard-magnetic particles may open new routes to design versatile multifunctional actuators. Here, we conceptualise ultra-soft hybrid MREs (≈1–10 kPa stiffness) combining experimental computational approaches. First, a comprehensive characterisation is performed. The results unravel that magneto-mechanical performance can be optimised by selecting an adequate mixing...

10.1038/s41524-022-00844-1 article EN cc-by npj Computational Materials 2022-07-28
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