基于粒子群优化算法的车辆保险杠结构优化方法

• Format: Patent
• Language: Chinese
• Published: 23.11.2018
• Subjects: CALCULATING; CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TOTRANSPORTATION; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; PHYSICS; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS; TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINSTCLIMATE CHANGE

种基于粒子群优化算法的车辆保险杠结构优化方法，包括：对保险杠建模，并进行强度工况和低速碰撞工况仿真分析，得到仿真模型，在优化设计域内进行采样，建立近似模型；采用灵敏度分析技术对建立的目标函数进行全局灵敏度分析，获得主要变量；运用数据挖掘技术对优化设计域识别得到增补区域；在优化设计域及增补区域中进行采样，运行粒子群优化算法得到优化结果后，圆整到工程值得到保险杠优化结构；本发明克服了碰撞工况强非线性以及考核工况多带来的优化困难，提高碳纤维复合材料保险杆结构优化的效率。 A vehicle bumper structure optimization method based on a particle swarm optimization algorithm includes the steps that bumper modeling is carried out, simulation analysis of strength working conditions and low-speed collision working conditions is carried out, a simulation model is obtained, sampling is carried out in an optimization design domain, and an approximation model is established; global sensitivity analysis is carried out on an established objective function according to a sensitivity analysis technology, and key variables are obtained; the optimization design domain is recognized according to a data mining technology to obtain a supplement zone; sampling is carried out in the optimization design domain and the supplement zone, and after the particle swarm optimizati