Method for optimizing matching of mixed variables of side safety components of vehicle body

Abstract

The invention discloses a method for optimizing the matching of mixed variables of side safety components of a vehicle body, which comprises the following steps: a plurality of components are initially selected as safety components; according to the design variables of different safety components, the orthogonal test design table is established, and the sample points in the orthogonal test designtable are simulated by finite element method; the sensitivity analysis of the simulation results is carried out to determine the key sensitive safety components in side impact; the homogeneous Latin square test is designed according to the related design parameters and the simulation calculation is carried out; according to the simulation results, a plurality of approximate models are establishedby multiple mathematical modeling methods, and the approximate models are established by choosing the mathematical modeling methods with high precision. Based on the selected approximate model, the multi-objective optimization is carried out, and the optimal solution is obtained by using the least distance selection method for Pareto front. The method effectively shortens the development cycle ofnew products, plays a good guiding role in the development of the body structure, and reasonably selects and matches parameters of various parts of the body so as to optimize the performance of the vehicle body.

Description

technical field [0001] The invention relates to the technical field of structural design of auto parts, in particular to a method for optimal design of mixed variable matching of safety parts on side walls of a vehicle body. Background technique [0002] As an important means to reduce crude oil consumption and exhaust emissions, automobile lightweight has attracted great attention from all over the world. The way of using lightweight materials to reduce the weight of automobiles has received widespread attention, and high-strength steel is currently one of the most suitable materials for lightweighting. Studies have shown that crash safety can be improved to a certain extent after using high-strength steel materials for key safety components of the car body. [0003] Due to the large number of car body parts, in the process of optimizing the crashworthiness of the side of the car, if all the parts are selected, it will increase the development cost and cause waste of mater...

AI Technical Summary

Problems solved by technology

However, the selection of key components often relies on the engineering experience of engineers and lacks certain scientific

Moreover, the current domestic research on the crashworthiness of automobiles usually only considers the impact of materials or thickness on crashworthiness, and lacks consideration of the interaction between materials and thickness.

At present, the domestic research on automobile crash safety mainly focuses on the improvement of the body structure, or simply studies the impact of the replacement of a single part with high-strength steel material on the safety performance of the automobile, while the research on the reasonable material matching of the body structure is more difficult. few

[0004] At the same time, since the material matching problem considers both the component material (discrete variable) and the thickness (continuous variable), it is a discrete / continuous mixed variable multi-objective optimization problem

The traditional method is easy to cause infeasible solutions in the design or not to obtain the optimal solution, and the optimization process must alternately search in the continuous and discrete domains, making the search difficult, the number of conversions large, and the algorithm and program complex

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