no code implementations • 4 Jan 2024 • Shahed Rezaei, Ahmad Moeineddin, Michael Kaliske, Markus Apel
We benchmark our methodology against the standard finite element method, demonstrating accurate yet faster predictions using the trained neural network for temperature and flux profiles.
1 code implementation • 10 Apr 2023 • Shahed Rezaei, Ahmad Moeineddin, Ali Harandi
In order to demonstrate the applicability of the methodology in handling complex path dependency in a three-dimensional (3D) scenario, we tested the approach using the equations governing a damage model for a three-dimensional interface model.
1 code implementation • 9 Feb 2023 • Ali Harandi, Ahmad Moeineddin, Michael Kaliske, Stefanie Reese, Shahed Rezaei
In this work, we propose applying the mixed formulation to solve multi-physical problems, specifically a stationary thermo-mechanically coupled system of equations.
1 code implementation • 27 Jun 2022 • Shahed Rezaei, Ali Harandi, Ahmad Moeineddin, Bai-Xiang Xu, Stefanie Reese
Later on, the strong form which has a higher order of derivatives is applied to the spatial gradients of the primary variable as the physical constraint.