극한 사상을 갖는 환경인자를 고려한 파일럿 채광로봇 주행시스템의 신뢰성 기반 최적설계

Abstract

A deep-seabed pilot miner is operated under deep-seabed. Since extreme events of environment factors might exist in the deep-seabed, the design of pilot miner satisfying target reliabilities is difficult. Therefore reliability-based design optimization (RBDO) is required to consider uncertainty of environment factors. In previous research, we compared reliability analysis methods under extreme events and concluded that Generalized Pareto distribution (GPD) estimates precisely the distribution of environment factors over other methods, giving us the most accurate results. In this paper, sheer strength of deep-seabed and steering ratio are considered as environment factors while in the procedure of RBDO, we obtain reliability using the estimated distribution from GPD. optimization (RBDO) is required to consider uncertainty of environment factors. In previous research, we compared reliability analysis methods under extreme events and concluded that Generalized Pareto distribution (GPD) estimates precisely the distribution of environment factors over other methods, giving us the most accurate results. In this paper, sheer strength of deep-seabed and steering ratio are considered as environment factors while in the procedure of RBDO, we obtain reliability using the estimated distribution from GPD.