关键词：车用安全带；乘员损伤；多目标优化；6σ稳健性；Kriging代理模型
中图分类号：U461文献标志码：A
Abstract：With the development of automotive active safety technology，this paper studied theIntegrated Active and Passive Seatbelt（IAPS）for occupants，and carried out a robust optimization design in order to further promote the development of Integrated Active and Passive Seatbelt（IAPS）technology and the wide application of IAPS. First of all，this paper compared and analyzed the protection performance of IAPS Conventional Pyrotechnic Seatbelt（CPS）and reversible pretension seat belt（RPS）for occupants by Madymo software. Then，taking the occupant head injury（HIC15）and Chest compression（Cdef）as the objective function，the Kriging agent model was constructed. The Multiobjective Particle Swarm Optimization（MPSO）was used to optimize 6 key parameters of IAPS，including reversible pretightening force，reversible pretightening time，pyrotechnic seat belt pretightening time，expansion rate of seat belt，limited force value of seat belt and activation time of airbag. Based on the iSIGHT multidisciplinary optimization platform，the optimal Latin square was used to sample the optimized Pareto non inferior solution，and the Monte Carlo method was used to simulate the samples to meet the 6 Sigma robustness design criteria. Finally，the optimal solution was selected based on the risk of occupant injury. The results show that IAPS is superior to CPS and RPS in occupant protection. In addition，the multiobjective 6 Sigma robustness optimization design not only significantly reduces the head damage value（HIC15）and Chest compression（Cdef）of occupants，but also reduces the mean and variance of IAPS quality characteristics，making the design variables far away from the boundary constraints. Therefore，the consistency and reliability of product quality for IAPS are improved.
集成预紧式安全带的防护性能分析及稳健性优化
作者：曹立波宋志强欧阳志高隆旭
来源：《湖南大学学报·自然科学版》2018年第10期
摘要：隨着汽车主动安全技术的发展，为了进一步推动集成预紧式安全带（Integrated Active and Passive Seatbelt，IAPS）技术的发展和产品的广泛应用，本文研究了IAPS对乘员的防护性能，并进行了稳健性优化设计.首先，本文通过Madymo软件对比分析了IAPS、传统火药爆炸式安全带（Conventional Pyrotechnic Seatbelt，CPS）和可逆预紧式安全带（Reversible Pretension Seatbelt，RPS）对乘员的防护性能；然后，构建了以乘员的头部损伤（HIC15）与胸部压缩量（Cdef）为目标函数的Kriging代理模型，运用多目标粒子群优化算法对IAPS的可逆预紧力、可逆预紧时刻、火药爆炸预紧时刻、安全带伸缩率、安全带限力值及安全气囊的激活时刻6个关键参数进行了匹配优化.并基于iSIGHT多学科优化平台，运用最优拉丁方对优化后的Pareto非劣解集采样，蒙特卡洛模拟方法，满足6σ稳健性设计准则；最后，以乘员损伤风险为依据选择最优解.结果表明，IAPS比CPS和RPS对乘员的防护更具有优越性；此外，多目标6σ稳健性优化设计不仅明显减小了乘员的头部损伤（HIC15）与胸部压缩量（Cdef），而且将IAPS产品质量特性的均值和方差同时降低，使得设计变量远离边界约束.因此，提高了产品质量的一致性和可靠性.