基于新的MDO方法的整车抗撞性设计及优化

多学科设计优化(Multidisciplinary design optimization,MDO)方法能够有效解决大规模复杂工程系统的设计问题,为了更好地处理经常遇到的准可分MDO问题,提出了一种基于罚函数的两级交替优化方法(Two-level alternating optimization method based on penaltyfunction,PAO)。PAO基于分解协调策略,首先将准可分MDO问题分解为一个系统级问题和多个子系统级问题,然后通过交替求解达到子系统间的一致性。首次使用PAO方法对整车抗撞性进行设计优化,计算结果验证了该方法的有效。

Design optimization of vehicle crashworthiness based on new MDO method

The multidisciplinary design optimization(MDO) methods can be used to solve the design problems of large-scale complex engineering system effectively.In order to deal well with the quasiseparable MDO problems usually encountered,a two-level alternating optimization method based on penalty function(PAO) method was introduced.PAO is based on decomposition and coordination strategy,that is,the quasi-separable MDO problem is decomposed into a system level problem and many sub-system level problems,and then the sub-system level problems are solved alternately to achieve the consistency among all sub-systems.PAO was first used to the design optimization of a vehicle crashworthiness problem.Results revealed that this method is effective.