83 citations · 261 across the 22 of their papers we have counts for
22 papers
Learning the Constitutive Behavior of Materials via Neural Operators and Causal Attention: Case Studies in Plasticity and Damage
Rishabh Arora, Lisa Scheunemann, Tim Brepols +1
Classical constitutive modeling of path-dependent inelastic materials relies on internal state variables whose evolution equations must be postulated based on domain knowledge and…
Component-wise hyperreduction for nonlinear solid mechanics problems
Stephan Ritzert, Jannick Kehls, Erik Faust +3
Hyperreduced nonlinear solid-mechanics components can be generated offline and reused as transferable building blocks across different assemblies, boundary conditions, meshes, mate…
Influence of the geometry on the mechanical performance of tubular interlockings: A study of the Sine Block
Domen Macek, Meike Weiß, Reymond Akpanya +3
Topological interlocking assemblies (TIA) are arrangements of blocks such that rigid-body motions of the blocks are fully constrained by their neighbours and a fixed frame. In this…
Autoencoder-based non-intrusive model order reduction in continuum mechanics
Jannick Kehls, Ellen Kuhl, Tim Brepols +2
We propose a non-intrusive, Autoencoder-based framework for reduced-order modeling in continuum mechanics. Our method integrates three stages: (i) an unsupervised Autoencoder compr…
Development of a Model Order Reduced Arbitrary Lagrangian Eulerian (MORALE) formulation for structures subjected to dynamic moving loads
Atul Anantheswar, Jannick Kehls, Ines Wollny +3
In recent developments, it has been demonstrated that the Arbitrary Lagrangian Eulerian (ALE) formulation can be utilized to improve computational efficiency, when simulating the r…
Multi-field decomposed hyper-reduced order modeling of damage-plasticity simulations
Jannick Kehls, Stephan Ritzert, Lars Breuer +3
This paper presents a multi-field decomposed approach for hyper-reduced order modeling to overcome the limitations of traditional model reduction techniques for gradient-extended d…
A unified multi-perspective quadratic manifold for mitigating the Kolmogorov barrier in multiphysics damage
Qinghua Zhang, Stephan Ritzert, Jian Zhang +3
In multiphysics damage problems, material degradation is often modeled using local or global damage variables, whose evolution introduces strong nonlinearities and significant comp…
Reduced-order structure-property linkages for stochastic metamaterials
Hooman Danesh, Maruthi Annamaraju, Tim Brepols +2
The capabilities of additive manufacturing have facilitated the design and production of mechanical metamaterials with diverse unit cell geometries. Establishing linkages between t…
A generalized dual potential for inelastic Constitutive Artificial Neural Networks: A JAX implementation at finite strains
Hagen Holthusen, Kevin Linka, Ellen Kuhl +1
We present a methodology for designing a generalized dual potential, or pseudo potential, for inelastic Constitutive Artificial Neural Networks (iCANNs). This potential, expressed…
Automated Model Discovery for Tensional Homeostasis: Constitutive Machine Learning in Growth and Remodeling
Hagen Holthusen, Tim Brepols, Kevin Linka +1
Soft biological tissues exhibit a tendency to maintain a preferred state of tensile stress, known as tensional homeostasis, which is restored even after external mechanical stimuli…
A two-scale computational homogenization approach for elastoplastic truss-based lattice structures
Hooman Danesh, Lisamarie Heußen, Francisco J. Montáns +2
The revolutionary advancements in metal additive manufacturing have enabled the production of alloy-based lattice structures with complex geometrical features and high resolutions.…
FFT-based surrogate modeling of auxetic metamaterials with real-time prediction of effective elastic properties and swift inverse design
Hooman Danesh, Daniele Di Lorenzo, Francisco Chinesta +2
Auxetic structures, known for their negative Poisson's ratio, exhibit effective elastic properties heavily influenced by their underlying structural geometry and base material prop…
An anisotropic, brittle damage model for finite strains with a generic damage tensor regularization
Tim van der Velden, Stefanie Reese, Hagen Holthusen +1
This paper establishes a universal framework for the nonlocal modeling of anisotropic damage at finite strains. By the combination of two recent works, the new framework allows for…
A multi-field decomposed model order reduction approach for thermo-mechanically coupled gradient-extended damage simulations
Qinghua Zhang, Stephan Ritzert, Jian Zhang +3
Numerical simulations are crucial for comprehending how engineering structures behave under extreme conditions, particularly when dealing with thermo-mechanically coupled issues co…
Component based model order reduction with mortar tied contact for nonlinear quasi-static mechanical problems
Stephan Ritzert, Jannick Kehls, Stefanie Reese +1
In this work, we present a model order reduction technique for nonlinear structures assembled from components.The reduced order model is constructed by reducing the substructures w…
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains
Yusuke Yamazaki, Ali Harandi, Mayu Muramatsu +5
We propose a novel finite element-based physics-informed operator learning framework that allows for predicting spatiotemporal dynamics governed by partial differential equations (…
Discrete Empirical Interpolation Method for nonlinear softening problems involving damage and plasticity
Steffen Kastian, Jannick Kehls, Tim Brepols +1
Accurate simulations are essential for engineering applications, and intricate continuum mechanical material models are constructed to achieve this goal. However, the increasing co…
A comparative study of micromorphic gradient-extensions for anisotropic damage at finite strains
Tim van der Velden, Tim Brepols, Stefanie Reese +1
Modern inelastic material model formulations rely on the use of tensor-valued internal variables. When inelastic phenomena include softening, simulations of the former are prone to…
Theory and implementation of inelastic Constitutive Artificial Neural Networks
Hagen Holthusen, Lukas Lamm, Tim Brepols +2
Nature has always been our inspiration in the research, design and development of materials and has driven us to gain a deep understanding of the mechanisms that characterize aniso…
Mechanical modeling of the maturation process for tissue-engineered implants: application to biohybrid heart valves
Mahmoud Sesa, Hagen Holthusen, Lukas Lamm +4
The development of tissue-engineered cardiovascular implants can improve the lives of large segments of our society who suffer from cardiovascular diseases. Regenerative tissues ar…
An anisotropic cohesive fracture model: advantages and limitations of length-scale insensitive phase-field damage models
Shahed Rezaei, Ali Harandi, Tim Brepols +1
The goal of the current work is to explore direction-dependent damage initiation and propagation within an arbitrary anisotropic solid. In particular, we aim at developing anisotro…
A macroscopic approach for stress driven anisotropic growth in bioengineered soft tissues
L. Lamm, H. Holthusen, T. Brepols +2
The simulation of growth processes within soft biological tissues is of utmost importance for many applications in the medical sector. Within this contribution we propose a new mac…