An FE-DMN method for the multiscale analysis of thermomechanical composites
Not on the map. Why?
Abstract (arXiv)
We extend the FE-DMN method to fully coupled thermomechanical two-scale simulations of composite materials. In particular, every Gauss point of the macroscopic finite element model is equipped with a deep material network (DMN). Such a DMN serves as a high-fidelity surrogate model for full-field solutions on the microscopic scale of inelastic, non-isothermal constituents. Building on the homogenization framework of Chatzigeorgiou et al. [Int. J. Plast, vol. 81, pp. 18--39, 2016], we extend the framework of DMNs to thermomechanical composites by incorporating the two-way thermomechanical coupling, i.e., the coupling from the macroscopic onto the microscopic scale and vice versa, into the framework. We provide details on the efficient implementation of our approach as a user-material subroutine (UMAT). We validate our approach on the microscopic scale and show that DMNs predict the effective stress, the effective dissipation and the change of the macroscopic absolute temperature with high accuracy. After validation, we demonstrate the capabilities of our approach on a concurrent thermomechanical two-scale simulation on the macroscopic component scale.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Sep 2021.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2023: 1; 2024: 0; 2025: 0; 2026: 2.
3 papers.
- 2023LS-DYNA Machine Learning-based Multiscale Method for Nonlinear Modeling of Short Fiber-Reinforced Compositescited by 6
- 2026Systematic Performance Assessment of Deep Material Networks for Multiscale Material Modelingcited by 0
- 2026Deep material network for homogenization of piezoelectric compositescited by 0
- 2026Deep material network for homogenization of piezoelectric composites21 Jun 2026
- 2026Systematic Performance Assessment of Deep Material Networks for Multiscale Material Modeling6 Feb 2026
- 2023LS-DYNA Machine Learning-based Multiscale Method for Nonlinear Modeling of Short Fiber-Reinforced Composites6 Jan 2023