Application of a Machine Learning-Based Topology Optimization Method on an Automotive B-Pillar for Crashworthy Lightweight Design
This work investigates the application of voidML to a reinforcement patch of a B-pillar which is subject to a side impact load case. voidML is a machine learning-based topology optimization method that iteratively inserts voids into crash-loaded thin-walled structures while preserving the deformation behavior of a refe...