3 papers
cs.LG2023
Dynamically configured physics-informed neural network in topology optimization applications
Jichao Yin, Ziming Wen, Shuhao Li +2
Integration of machine learning (ML) into the topology optimization (TO) framework is attracting increasing attention, but data acquisition in data-driven models is prohibitive. Co…
math.NA2023
A novel reduced basis method for adjoint sensitivity analysis of dynamic topology optimization
Shuhao Li, Hu Wang, Jichao Yin +2
In gradient-based time domain topology optimization, design sensitivity analysis (DSA) of the dynamic response is essential, and requires high computational cost to directly differ…
math.GT2023
A novel multi-stage concurrent topology optimization for variable-stiffness structures
Yaya Zhanga, Hu Wang, Jichao Yin +2
The concurrent optimization of topology and fibre orientation is a promising approach to pursue higher strength and lighter weight of variable-stiffness structure. This study propo…