Dongjian Su

Topology optimization for thin-walled structure based on random forest regression

A machine learning-assisted inverse parameter prediction framework that couples a Random Forest-based inverse surrogate model with compliance-minimization topology optimization and suggests that the framework may serve as a rapid design initialization tool for lightweight structural applications.