2 citations · 2 across the 5 of their papers we have counts for
5 papers
Enforced Interface Constraints for Domain Decomposition Method of Discrete Physics-Informed Neural Networks
Jichao Yin, Mingxuan Li, Jianguang Fang +1
This study presents a discrete physics-informed neural network (dPINN) framework, enhanced with enforced interface constraints (EIC), for modeling physical systems using the domain…
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…
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…
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…
An efficient topology optimization method based on adaptive reanalysis with projection reduction
Jichao Yin, Hu Wang, Shuhao Li +1
Efficient topology optimization based on the adaptive auxiliary reduced model reanalysis (AARMR) is proposed to improve computational efficiency and scale. In this method, a projec…