The invention relates to the technical field of
automobile safety, and provides a seat
whiplash injury resistance optimization method based on test and
simulation, and the method comprises the steps: firstly, through the comparative analysis of
finite element simulation and
whiplash test results of a seat, identifying main factors influencing
whiplash injury, including design variables such as the thickness of a headrest rod and the thickness of a seat backrest supporting tube; sample points required by optimization are collected by using a Harmersley
test design method, and an accurate approximation model is established through a
radial basis function neural network (RBF). On the basis, a multi-objective
genetic algorithm is adopted to carry out multi-objective optimization on seat design variables, and the purpose is to reduce the
neck injury index (NIC) and the upper neck tension. The optimized design parameters effectively reduce the
neck injury index and the upper neck tension, and the
whiplash injury resistance of the seat is further improved. Through
simulation verification, the error between the optimization result and the approximation model is controlled within a reasonable range, and the effectiveness and feasibility of the optimization design are verified.