Abstract: To solve the problem of coupling between subsystems in multidisciplinary design optimization algorithm,a multidisciplinary design optimization method based on stochastic search approach was proposed.Based on the independent analysis and optimization of each subsystem,the selection function was constructed to obtain the ideal coupling point in the randomly generated point group,which overcame the limitations of traditional sensitivity-based decoupling method,and the space for finding the ideal coupling point was widened.With the ideal coupling point as a reference,the coupling function was used as the optimization objective of subsystem for continuously adjusting the optimization target of the subsystem.The multi-objective optimization strategy was used to optimize the subsystems,and the coupling relationship between sub-systems was improved.Based on Isight optimization platform,the multidisciplinary stochastic search optimization algorithm was constructed with a variety of disciplinary analysis tools,which was verified in the optimization design of the tower-type three-dimensional garage.

Key words: multidisciplinary design optimization, stochastic search, ideal coupling point, Isight optimization platform, tower-type three-dimensional garage

摘要： 针对多学科设计优化算法中各子系统间的耦合问题,提出基于随机搜索法的多学科设计优化策略。在各子系统独立分析优化的基础上,构造选择函数,在随机生成的点群中得到理想耦合点,克服了传统的基于敏度的解耦方法的局限性,并拓宽了寻找理想耦合点的空间,以理想耦合点作为参考,构造耦合函数作为子系统优化目标,从而不断调整子系统的优化目标,运用多目标优化策略对子系统进行优化,使子系统之间的耦合关系得到改善。基于Isight优化平台,集成多种学科分析工具,构建了多学科随机搜索优化算法,并在塔式立体车库的优化设计中对该优化方法进行了验证。

关键词: 多学科设计优化, 随机搜索, 理想耦合点, Isight优化平台, 塔式立体车库