Developing a multi-objective multi-disciplinary robust design optimization framework

This study aims to provide an efficient Multi-Objective Multidisciplinary Robust Design Optimization (MOMRDO) framework. To this end, Bi-Level Integrated System Synthesis (BLISS) framework was implemented as a fast Multi-disciplinary Design Optimization (MDO) framework. Progressive Latin Hypercube Sampling (PLHS) was developed as a Design Of Experiment (DOE) for the Uncertainty Analysis (UA). This systematic approach leads to a fast, adaptive, and efficient Robust Design Optimization (RDO) framework of complex systems. The accuracy and performance of the proposed algorithm have been evaluated through various tests. Finally, the RDO of a hydrazine monopropellant thruster was selected as a case study. The results showed that this method is a fast and effective method for the multi-objective optimization design of complex systems, and it can also be used in other engineering applications. (C) 2021 Sharif University of Technology. All rights reserved.