activity
20232025
most citedTheory and implementation of inelastic Constitutive Artificial Neural Networks

83 citations · 95 across the 12 of their papers we have counts for

collaborators

12 papers

math.NA2025

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…

cs.CE2025★ 1 cited

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…

math-ph2025

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…

cs.CE2025

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…

cs.CE2024

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.…

cs.CE2024

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…

cs.CE2024★ 2 cited

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…

math.AP2024

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…

cs.CE2024★ 1 cited

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…

cs.CE2023★ 1 cited

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…

cs.CE2023★ 7 cited

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…

cs.LG2023★ 83 cited

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…