Exploring the 3D architectures of deep material network in data-driven multiscale mechanics

Zeliang Liu, C. T. Wu

This paper extends the deep material network (DMN) proposed by Liu et al. (2019) to tackle general 3-dimensional (3D) problems with arbitrary material and geometric nonlinearities.…