Optimal design of armored vehicle protective components under blast impact

Traditional protective structure optimization design processes do not often consider uncertainty factors, such as structural dimensions. This causes the optimization results to be near the constraint boundaries and leads to insufficient reliability and robustness of the design. In this study, an accurate finite element model was obtained for armored vehicle protective component design through a physical explosion test and a simulation of the whole vehicle. Subsequently, uncertainty optimization, reliability optimization, and robustness optimization were introduced into the optimization process, and the uncertainty optimization results were analyzed and compared for different constraint degrees. The results show that the reliability of the results obtained from traditional deterministic optimization was low. Introducing the reliability optimization and robustness optimization design methods into the protective component design significantly improved the reliability of the protective component results.