Optimization of Rollover Crashworthiness and Vehicle Mass Based on Unreplicated Saturated Factorial Design

In the realm of van design, researchers have been diligently working to enhance rollover crashworthiness while concurrently achieving lightweight body structures. Unlike front and side impacts, is impacted by a greater number structural dimensions material parameters. As such, this paper implements an unreplicated saturated factorial design conduct factor screening for vehicle crashworthiness. This approach effectively accurately resolves challenges that arise from large numbers factors, eliminates dependence on traditional experience. Consequently, it shortens cycle reduces development costs. addition, establishes four Kriging approximate models describe specific energy absorption total mass key structure, displacement roof, maximum angular velocity body’s center mass. To address multi-objective optimization problem improving reducing mass, combines particle swarm algorithm with artificial immune algorithm. hybrid converges rapidly, Pareto solution set exhibits superior uniformity diversity. Finally, shortest distance method employed identify optimal scheme can vans reduce parts.