An optimization method for negative Poisson's ratio energy-absorbing structures based on pedestrian protection

Abstract

The invention discloses an optimization method of a negative Poisson ratio energy absorption structure based on pedestrian protection. The negative Poisson ratio energy absorption structure is modeled through a parametric modeling method, a parametric four-step response surface model for the maximum shear displacement, the maximum acceleration of tibia upper ends, the maximum bending angles of knee joints and ratio energy absorption is constructed by further using CAE collision simulation based on optimal latin square experiment design and a response surface method, ratio energy absorption and the maximum acceleration of calf tibias are taken as optimization objectives, the maximum bending angles of the knee joints and the maximum shear displacement are taken as constraint conditions, and robust analysis based on 6 theta is carried out on single-cell parameters of the negative Poisson ratio structure by adopting an SORM reliability method and an AMGA algorithm, so that the development cost and time of the product are reduced, and the reliability and accuracy of optimization are improved.

Description

technical field [0001] The invention relates to the field of automobile passive safety, in particular to an optimization method of a negative Poisson's ratio energy-absorbing structure based on pedestrian protection. Background technique [0002] Energy-absorbing structures often have contradictions between crashworthiness and energy-absorbing properties, so an energy-absorbing structure with negative Poisson’s ratio characteristics is proposed, which can better coordinate the above contradictions, and through the microstructure of the energy-absorbing structure Optimization can optimize its macroscopic strength and energy absorption, and at the same time achieve the purpose of light weight. [0003] At present, the optimization process of the structure is mainly realized through "CAD-CAE-optimization". In order to determine the optimal parameters of the structure, it must be based on a large number of experiments, but this optimization method has the following two shortcomi...

AI Technical Summary

Problems solved by technology

[0004] 1. A lot of time is spent in the CAD and CAE modeling stage, resulting in a long optimization cycle;

[0005] 2. The reliability and robustness of the usual optimization methods cannot be guaranteed, and the product quality cannot be strictly controlled

Images