Possibility-based multidisciplinary design optimization in the framework of sequential optimization and reliability assessment

Reliability Based Multidisciplinary Design Optimization (RBMDOJ) has received increasing attention to reach high reliability and safety in complei and coupled systems. In early design stage of such systems, however, there are insufficient data to precisely construct the probability distributions required by the RBMDO and consequently RBMDO can not be carried out effectively. To deal with this case, the present work proposes Possibility Based Multidisciplinary Design Optimization (PBMDO,) and a method of PBMDO within the framework of the Sequential Optimization and Reliability Assessment (PBMDO-SORAJ). The proposed method enables designerw to solve MDO problems with insufficient information on the uncertainties associated with design inputs, and efJ i ciently decreases the computational demand. The efficiency of the proposed method is illustrated with a mathematical eiample and an engineering design.