Physics-Informed Machine Learning for Crashworthiness Prediction of Hexagonal Crash Boxes under Multi-Angle Impacts
Abstract A physics-informed machine learning framework is developed to predict temporal force–displacement responses and three-dimensional deformation histories of hexagonal crash boxes under multi-angle loading. To reduce the computational cost of nonlinear explicit finite element simulations, a three-dimensional conv...