Tim Brepols
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View article: Development of a Model Order Reduced Arbitrary Lagrangian Eulerian ( <scp>MORALE</scp> ) Formulation for Structures Subjected to Dynamic Moving Loads
Development of a Model Order Reduced Arbitrary Lagrangian Eulerian ( <span>MORALE</span> ) Formulation for Structures Subjected to Dynamic Moving Loads Open
Fast and efficient simulation strategies are a basic requirement of technologies such as digital twins. Particularly for roadway infrastructure, recent developments have demonstrated that the arbitrary Lagrangian Eulerian (ALE) formulation…
View article: Viscoelastic Behavior of Polyamide 6– <scp>COC</scp> Blends: Role of Crystallinity and Frequency‐Domain Modeling
Viscoelastic Behavior of Polyamide 6– <span>COC</span> Blends: Role of Crystallinity and Frequency‐Domain Modeling Open
The mechanical performance of semicrystalline thermoplastics like polyamide 6 (PA6) is strongly influenced by crystallinity, which poses challenges for consistent viscoelastic characterization, especially at elevated temperatures. This stu…
View article: Digitalizing metallic materials from image segmentation to multiscale solutions via physics informed operator learning
Digitalizing metallic materials from image segmentation to multiscale solutions via physics informed operator learning Open
Fast prediction of microstructural responses based on realistic material topology is vital for linking process, structure, and properties. This work presents a digital framework for metallic materials using microscale features. We explore …
View article: Reduced-order structure-property linkages for stochastic metamaterials
Reduced-order structure-property linkages for stochastic metamaterials Open
The capabilities of additive manufacturing have facilitated the design and production of mechanical metamaterials with diverse unit cell geometries. Establishing linkages between the vast design space of unit cells and their effective mech…
View article: Tension-compression asymmetry based on different energy decompositions within a gradient-extended two-surface damage-plasticity framework
Tension-compression asymmetry based on different energy decompositions within a gradient-extended two-surface damage-plasticity framework Open
The present study employs and investigates in detail several energy decompositions to capture the tension-compression asymmetric damage behavior of ductile materials based on a gradient-extended two-surface damage-plasticity framework. A s…
View article: An anisotropic, brittle damage model for finite strains with a generic damage tensor regularization
An anisotropic, brittle damage model for finite strains with a generic damage tensor regularization Open
This paper establishes a generic framework for the nonlocal modeling of anisotropic damage at finite strains. By the combination of two recent works, the new framework allows for the flexible incorporation of different established hyperela…
View article: Reduced-order structure-property linkages for stochastic metamaterials
Reduced-order structure-property linkages for stochastic metamaterials Open
The capabilities of additive manufacturing have facilitated the design and production of mechanical metamaterials with diverse unit cell geometries. Establishing linkages between the vast design space of unit cells and their effective mech…
View article: Component‐Based Model‐Order Reduction With Mortar Tied Contact for Nonlinear Quasi‐Static Mechanical Problems
Component‐Based Model‐Order Reduction With Mortar Tied Contact for Nonlinear Quasi‐Static Mechanical Problems Open
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 with proper orthogonal decomposition and connecting them b…
View article: Automated model discovery for tensional homeostasis: Constitutive machine learning in growth and remodeling
Automated model discovery for tensional homeostasis: Constitutive machine learning in growth and remodeling Open
We present a built-in physics neural network architecture, known as inelastic Constitutive Artificial Neural Network (iCANN), to discover the inelastic phenomenon of tensional homeostasis. In this course, identifying the optimal model and …
View article: A two-scale computational homogenization approach for elastoplastic truss-based lattice structures
A two-scale computational homogenization approach for elastoplastic truss-based lattice structures Open
Advancements in metal additive manufacturing have enabled the fabrication of alloy-based lattice structures with complex geometrical features, driving the need for efficient modeling frameworks. Despite progress in the homogenization of me…
View article: FFT-based surrogate modeling of auxetic metamaterials with real-time prediction of effective elastic properties and swift inverse design
FFT-based surrogate modeling of auxetic metamaterials with real-time prediction of effective elastic properties and swift inverse design Open
Auxetic structures, known for their negative Poisson's ratio, exhibit effective elastic properties heavily influenced by their underlying geometry and base material properties. While periodic homogenization of auxetic unit cells can be use…
View article: Simulating the onset of damage in DCDC tests using a novel gradient‐extended damage model for tension‐compression asymmetry
Simulating the onset of damage in DCDC tests using a novel gradient‐extended damage model for tension‐compression asymmetry Open
In the present work, an existing framework for gradient‐extended damage is extended to simulate the damage onset in double cleavage drilled compression (DCDC) tests. The main idea is to consider the different evolution of the damage variab…
View article: A nonlinear manifold model order reduction approach for thermo‐mechanically coupled plasticity
A nonlinear manifold model order reduction approach for thermo‐mechanically coupled plasticity Open
This study employs a nonlinear manifold mode order reduction (MOR) approach to address the high computational cost inherent in multi‐physical nonlinear models, which are discretized by the finite element method (FEM), with a particular foc…
View article: Automated Model Discovery for Tensional Homeostasis: Constitutive Machine Learning in Growth and Remodeling
Automated Model Discovery for Tensional Homeostasis: Constitutive Machine Learning in Growth and Remodeling Open
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. This macroscopic behavior can be described using the theo…
View article: A two-scale computational homogenization approach for elastoplastic truss-based lattice structures
A two-scale computational homogenization approach for elastoplastic truss-based lattice structures Open
The revolutionary advancements in metal additive manufacturing have enabled the production of alloy-based lattice structures with complex geometrical features and high resolutions. This has encouraged the development of nonlinear material …
View article: A comparison of micromorphic gradient‐extensions for anisotropic damage
A comparison of micromorphic gradient‐extensions for anisotropic damage Open
The modeling of inelastic phenomena with tensor‐valued internal variables requires a regularization to counteract mesh dependence. Here, we consider the regularization of anisotropic damage at finite strains and seek for an efficient formu…
View article: Polyconvex inelastic constitutive artificial neural networks
Polyconvex inelastic constitutive artificial neural networks Open
The characterization of the material behavior of inelastic materials requires a high degree of expert knowledge to identify and constitutively describe the material response. In addition, specific models are usually pre‐selected in the cou…
View article: FFT-based surrogate modeling of auxetic metamaterials with real-time prediction of effective elastic properties and swift inverse design
FFT-based surrogate modeling of auxetic metamaterials with real-time prediction of effective elastic properties and swift inverse design Open
Auxetic structures, known for their negative Poisson's ratio, exhibit effective elastic properties heavily influenced by their underlying structural geometry and base material properties. While periodic homogenization of auxetic unit cells…
View article: A comparative study of micromorphic gradient‐extensions for anisotropic damage at finite strains
A comparative study of micromorphic gradient‐extensions for anisotropic damage at finite strains Open
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 localization. Thus, an accurate regularization of the tens…
View article: Component based model order reduction with mortar tied contact for nonlinear quasi-static mechanical problems
Component based model order reduction with mortar tied contact for nonlinear quasi-static mechanical problems Open
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 with proper orthogonal decomposition and connecting them by …
View article: A multi-field decomposed model order reduction approach for thermo-mechanically coupled gradient-extended damage simulations
A multi-field decomposed model order reduction approach for thermo-mechanically coupled gradient-extended damage simulations Open
Numerical simulations are crucial for comprehending how engineering structures behave under extreme conditions, particularly when dealing with thermo-mechanically coupled issues compounded by damage-induced material softening. However, suc…
View article: Theory and implementation of inelastic Constitutive Artificial Neural Networks
Theory and implementation of inelastic Constitutive Artificial Neural Networks Open
The two fundamental concepts of materials theory, pseudo potentials and the assumption of a multiplicative decomposition, allow a general description of inelastic material behavior. The increase in computer performance enabled us to thorou…
View article: An anisotropic, brittle damage model for finite strains with a generic damage tensor regularization: material subroutines
An anisotropic, brittle damage model for finite strains with a generic damage tensor regularization: material subroutines Open
This dataset contains the material subroutines of models A, B, and C of the publication: T. van der Velden, S. Reese, H. Holthusen, and T. Brepols. An anisotropic, brittle damage model for finite strains with a generic damage tensor regula…
View article: A thermo-mechanically coupled constitutive model for semi-crystalline polymers at finite strains: Mechanical and thermal characterization of polyamide 6 blends
A thermo-mechanically coupled constitutive model for semi-crystalline polymers at finite strains: Mechanical and thermal characterization of polyamide 6 blends Open
In the field of material modeling, thermoplastic polymers are often studied because of their complex material behavior and their prevalence in industry applications due to their low cost and wide range of applications. Nowadays, where reus…