Multiscale Thermodynamics-Informed Neural Networks (MuTINN) towards fast and frugal inelastic computation of woven composite structures
The complex behavior of inelastic woven composites stems primarily from their inherent
heterogeneity. Achieving accurate predictions of their linear and nonlinear responses, while …
heterogeneity. Achieving accurate predictions of their linear and nonlinear responses, while …
Physically informed deep homogenization neural network for unidirectional multiphase/multi-inclusion thermoconductive composites
Elements of the periodic homogenization framework and deep neural network were
seamlessly connected for the first time to construct a new micromechanics theory for …
seamlessly connected for the first time to construct a new micromechanics theory for …
Domain information transfer method and its application in quasi-brittle failure analysis
X Sun, X Guo - Advances in Mechanical Engineering, 2019 - journals.sagepub.com
This article presents a domain information transfer method for the purpose of quasi-brittle
failure analysis. It contains two separated computational levels. On macroscopic level, the …
failure analysis. It contains two separated computational levels. On macroscopic level, the …
Parametric, reduced and multiscale model for the interactive optimization of laminated composite structures
GF Dulcey - 2018 - theses.hal.science
The design process of laminated composites faces a major challenge: while an engineer
designing a metallic based mechanical product is mainly focusing on the development of a …
designing a metallic based mechanical product is mainly focusing on the development of a …