activity
20152026
most citedA machine learning based plasticity model using proper orthogonal decomposition

191 citations · 697 across the 13 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

cs.CE2020

A matrix-free isogeometric Galerkin method for Karhunen-Loève approximation of random fields using tensor product splines, tensor contraction and interpolation based quadrature

Michal Lukasz Mika, Thomas Joseph Robert Hughes, Dominik Schillinger +2

The Karhunen-Loève series expansion (KLE) decomposes a stochastic process into an infinite series of pairwise uncorrelated random variables and pairwise -orthogonal functions.…

cs.CE2020★ 17 cited

Electro-magneto-mechanically response of polycrystalline materials: Computational Homogenization via the Virtual Element Method

Christoph Böhm, Blaž Hudobivnik, Michele Marino +1

This work presents a study on the computational homogenization of electro-magneto-mechanically coupled problems through the Virtual Element Method (VEM). VE-approaches have great p…

math.NA2020★ 147 cited

The Neural Particle Method -- An Updated Lagrangian Physics Informed Neural Network for Computational Fluid Dynamics

Henning Wessels, Christian Weißenfels, Peter Wriggers

Numerical simulation is indispensable in industrial design processes. It can replace expensive experiments and even reduce the need for prototypes. While products designed with the…

math.NA2020

Virtual Element Formulation For Finite Strain Elastodynamics

M. Cihan, F. Aldakheel, B. Hudobivnik +1

This work provides an efficient virtual element scheme for the modeling of nonlinear elastodynamics undergoing large deformations. The virtual element method (VEM) has been applied…

math.NA2020

A global-local approach for hydraulic phase-field fracture in poroelastic media

Fadi Aldakheel, Nima Noii, Thomas Wick +1

In this work, phase-field modeling of hydraulic fractures in porous media is extended towards a global-local approach. Therein, the failure behavior is solely analyzed in a (small)…

cs.CE2020★ 191 cited

A machine learning based plasticity model using proper orthogonal decomposition

Dengpeng Huang, Jan Niklas Fuhg, Christian Weißenfels +1

Data-driven material models have many advantages over classical numerical approaches, such as the direct utilization of experimental data and the possibility to improve performance…