POSSIBILITY-BASED MULTIDISCIPLINARY DESIGN OPTIMIZATION IN THE FRAMEWORK OF SEQUENTIAL OPTIMIZATION AND RELIABILITY ASSESSMENT

Reliability Based Multidisciplinary Design Optimization (RBMDO) has re revved increasing attention to reach high reliability and safety in complex 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 pro poses Possibility Based Multidisciplinary Design Optimization (PBMDO) and a method of PBMDO within the framework of the Sequential Optimization and Reliability Assessment (PBMDO SORA) The proposed method enables designers to solve MDO problems with insufficient information on the uncertainties associated with design inputs, and efficiently decreases the computational demand The efficiency of the proposed method is illustrated with a mathematical example and an engineering design