Multidisciplinary Robust Design Optimization for a Deep-sea Test Miner

Abstract

Multidisciplinary design optimization (MDO) is developed from aerospace and automotive engineering encountered in the design that incorporate a number of interacting disciplines. MDO has been studied for deterministic parameters and variables and the likelihood of system failure can be caused by variation of environmental or operating factors acting on the system. Thus, robust design which can find the best design solution minimizing the variance of response as well as consider variation of these factors is necessary to obtain reliability of the system. This research is called multidisciplinary robust design optimization(MRDO). In this paper, robust design of multidisciplinary systems, coupled with robust design using multiplicative decomposition method and bi-level integrated system synthesis method, is proposed. To validate proposed method, MRDO of for test deep-sea mining vehicle system is conducted.iables and the likelihood of system failure can be caused by variation of environmental or operating factors acting on the system. Thus, robust design which can find the best design solution minimizing the variance of response as well as consider variation of these factors is necessary to obtain reliability of the system. This research is called multidisciplinary robust design optimization(MRDO). In this paper, robust design of multidisciplinary systems, coupled with robust design using multiplicative decomposition method and bi-level integrated system synthesis method, is proposed. To validate proposed method, MRDO of for test deep-sea mining vehicle system is conducted.