Abstract The primary goal of the current study is to optimise crash box designs for automobiles. Machine learning (ML) techniques are used build an intelligent and reliable ML framework. With help this framework, design can be optimised crashworthiness analysis. optimisation resource‐intensive due its intricate geometric design, use a variety materials, extensive dynamic simulations determine i...

Abstract In this work, we present an experimental analysis and a numerical optimization study for the material parameter identification of impact attenuator made brand new All-PP thermoplastic composite subjected to axial load. After characterization material, Finite Element (FE) model is created simulated using LS-DYNA explicit software. Subsequently, in order capture force-displacement trend ...