贫信息背景下复杂系统可靠性优化设计研究进展  

Research Progress on Reliability-based Design Optimization of Information-poor Complex Systems

作　　者：穗肖肖 方鹏亚 王迪 张桉浩 SUI Xiaoxiao;FANG Pengya;WANG Di;ZHANG Anhao(Zhengzhou University of Aeronautics,Zhengzhou Henan 450046)

机构地区：[1]郑州航空工业管理学院,河南郑州450046

出　　处：《中国科技纵横》2023年第2期115-117,共3页China Science & Technology Overview

基　　金：2020年度河南省自然科学基金“区间不确定性下复杂系统可靠性优化设计研究”(202300410490)。

摘　　要：复杂系统受制于研制成本、试验周期等因素,可靠性数据表现出贫信息特征,传统的随机可靠性设计方法难以适用。本论文基于在贫信息度量方面更为有效的区间不确定性分析方法,聚焦复杂系统的“函数隐式化”和“交叉耦合”等难题,对复杂系统可靠性优化设计关键问题进行研究。通过梳理当前研究成果,指出近似模型和多学科可靠性设计优化有望解决上述问题,分析了目前研究存在的不足,并对以后发展方向进行了展望。Subject to the development cost and test cycle,the reliability data of complex systems exhibits the typical information-poor characteristics,and the traditional stochastic reliability method is difficult to apply.Based on the interval uncertainty method,this paper focuses on the problems of implicit limit state function and cross-coupling of components in complex systems,and studies the methods of reliability-based design optimization for complex systems.It is showed that the methods of surrogate model and reliability based multidisciplinary design optimization are effective,and the shortcomings and future development of the current research are analyzed.

关 键 词：复杂系统 区间不确定性 可靠性优化设计 

分 类 号：TB12[理学—工程力学]