Crashworthiness Simulation and Structural Analysis in Automotive Safety Design

Abstract

Crashworthiness refers to a vehicle's ability to protect its occupants during a collision. Advancements in computational tools and simulation techniques have significantly enhanced the design and analysis of vehicle structures for improved safety. This paper explores the integration of Finite Element Analysis (FEA), surrogate modeling, and uncertainty quantification in crashworthiness evaluations. We examine methodologies such as the Macro Element Method (MEM) for efficient crash simulations, the application of Graph Neural Networks (GNNs) for surrogate modeling, and the incorporation of uncertainty quantification to assess the reliability of crash simulations. Case studies, including frontal and side impact simulations, demonstrate the efficacy of these approaches in optimizing vehicle structures for enhanced occupant protection. The findings highlight the potential of advanced simulation techniques in reducing the reliance on physical prototypes, thereby accelerating the design process and improving safety outcomes.MDPI+2SpringerLink+2arXiv+1SpringerLink