Developing a multi-objective multi-disciplinary robust design optimization framework
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
The purpose of this study is to provide an efficient Multi-Objective Multidisciplinary Robust Design Optimization (MOMRDO) framework. To this end, Bi-Level Integrated System Synthesis (BLISS) framework is implemented as a fast Multi-disciplinary Design Optimization (MDO) framework. Progressive Latin Hypercube Sampling (PLHS) is developed as a Design of Experiment (DOE) of the Uncertainty Analysis (UA). This systematic approach leads to a fast, adaptive and efficient framework for Robust Design Optimization (RDO) of complex systems. The accuracy and performance of the proposed algorithm have been evaluated with various tests. Finally, the RDO of a hydrazine monopropellant thruster is defined as a case study. The results show that the proposed method is a fast and efficient method for the multi-objective optimization design of complex systems, and this approach can be used for other engineering applications as well.
Keywords:
Language:
English
Published:
Scientia Iranica, Volume:28 Issue: 4, Jul-Aug 2021
Pages:
2150 to 2163
https://www.magiran.com/p2314556
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