Reliability-based multidisciplinary design optimization (RBMDO) has been considered as an efficient technology for addressing complex engineering design optimization problems under uncertainties. Current RBMDO methods, however, perform design optimization either in a sequential manner or in an all-at-once manner, which does not support design autonomy in various disciplines and has low computational efficiency. In this article, a reliability-based multidisciplinary concurrent design optimization (RBMCDO) method is proposed to solve the problems of lack of design autonomy and low computational efficiency in current RBMDO methods. In RBMCDO, the multidisciplinary reliability constraints are first transformed into deterministic constraints using the multidisciplinary probabilistic constraint transformation method, developed in this work based on the performance measure approach and Karush–Kuhn–Tucker conditions. The RBMDO problem is then decomposed into several optimization problems of a single discipline, which are solved in parallel based on the collaborative optimization strategy. Two examples are used to verify the proposed method.

基于可靠性的多学科设计优化（RBMDO）被认为是解决不确定条件下复杂工程设计优化问题的有效技术。然而，当前的 RBMDO 方法以顺序方式或一次性方式执行设计优化，不支持各个学科的设计自主性，并且计算效率低。针对目前RBMDO方法缺乏设计自主性和计算效率低的问题，提出了一种基于可靠性的多学科并行设计优化（RBMCDO）方法。在RBMCDO中，首先使用多学科概率约束变换方法将多学科可靠性约束转化为确定性约束，基于性能测量方法和 Karush-Kuhn-Tucker 条件在这项工作中开发。然后将 RBMDO 问题分解为单个学科的多个优化问题，基于协同优化策略并行求解。两个例子用于验证所提出的方法。