심해저 환경인자를 고려한 시험집광기 중행장치의 곱분해 기법 기반 통계적 모멘트를 이용한 효율적인 강건 최적설계
- Title
- 심해저 환경인자를 고려한 시험집광기 중행장치의 곱분해 기법 기반 통계적 모멘트를 이용한 효율적인 강건 최적설계
- Other Titles
- Efficient Robust Design Optimization Using Statistical Moment based on Multiplicative Decomposition Method of Test Miner Tracked Vehicle on Collecting Operation for Deep-sea Environmental Noise Factors
- Author
- 이태희
- Keywords
- 강건 최적설계; 심해저 채광 차량; 곱분해 기법; 크리깅 메타모델; Robust Design Optimization; Deep-sea Ocean Mining Vehicle; Multiplicative Decomposition Method; Kriging Metamodel
- Issue Date
- 2011-11
- Publisher
- 대한기계학회
- Citation
- 대한기계학회 논문집, 2011, P.336-341
- Abstract
- A deep-sea manganese nodule miner consists of 4 parts: pickup device, crusher, disposal device and tracked vehicle. The tracked vehicle is an essential component in the self-propelled mining system moving on soft soil. Performances of the tracked vehicle are influenced by noise factors; track speed, seafloor slope, shear stress, bottom currents and reaction forces of flexible hose. It is necessary to adopt robust design method that improves performances as well as minimize the variation of performances due to noise factors. Robust design optimization using statistical moments based on multiplicative decomposition method, calculate statistical moments using explicit integral of kriging metamodel and probability density functions of noise factors, can accurately and efficiently search for the robust optimum. In this paper, we adopt robust design optimization using statistical moments based on multiplicative decomposition method for test miner tracked vehicle on collecting operation.
- URI
- http://www.dbpia.co.kr/Journal/ArticleDetail/NODE02041628http://hdl.handle.net/20.500.11754/66138
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > AUTOMOTIVE ENGINEERING(미래자동차공학과) > Articles
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