1 citations · 1 across the 5 of their papers we have counts for
5 papers
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…
Efficient strain-space hyperreduction in large-deformation solid mechanics
Erik Faust, Lisa Scheunemann
Strain-space model order reduction (MOR) techniques have recently been shown to achieve exceptional performance in terms of the tradeoff between runtime and accuracy achieved in co…
Empirical Material Sampling and Linearisation -- A Simple and Efficient Strain-Space Model Order Reduction Approach for Computational Homogenisation in Large-Deformation Hyperelasticity
Erik Faust, Lisa Scheunemann
In this article, we propose a simple and efficient hyperreduced strain-space model order reduction (MOR) approach for hyperelastic representative volume elements (RVEs), called Emp…
A hyperreduced manifold learning approach to nonlinear model order reduction for the homogenisation of hyperelastic RVEs
Erik Faust, Lisa Scheunemann
In a recent work, we proposed a graph-based manifold learning scheme for the nonlinear Galerkin-reduction of quasi-static solid mechanical problems [1]. The resulting nonlinear app…
A manifold learning approach to nonlinear model order reduction of quasi-static problems in solid mechanics
Lisa Scheunemann, Erik Faust
The proper orthogonal decomposition (POD) -- a popular projection-based model order reduction (MOR) method -- may require significant model dimensionalities to successfully capture…