43 citations · 68 across the 4 of their papers we have counts for
4 papers
Systematic Performance Assessment of Deep Material Networks for Multiscale Material Modeling
Xiaolong He, Haoyan Wei, Wei Hu +2
Deep Material Networks (DMNs) are structure-preserving, mechanistic machine learning models that embed micromechanical principles into their architectures, enabling strong extrapol…
LS-DYNA Machine Learning-based Multiscale Method for Nonlinear Modeling of Short Fiber-Reinforced Composites
Haoyan Wei, C. T. Wu, Wei Hu +6
Short-fiber-reinforced composites (SFRC) are high-performance engineering materials for lightweight structural applications in the automotive and electronics industries. Typically,…
RVE Analysis in LS-DYNA for High-fidelity Multiscale Material Modeling
Haoyan Wei, Dandan Lyu, Wei Hu +1
In modern engineering designs, advanced materials (e.g., fiber/particle-reinforced polymers, metallic alloys, laminar composites, etc.) are widely used, where microscale heterogene…
Intelligent multiscale simulation based on process-guided composite database
Zeliang Liu, Haoyan Wei, Tianyu Huang +1
In the paper, we present an integrated data-driven modeling framework based on process modeling, material homogenization, mechanistic machine learning, and concurrent multiscale si…