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dc.contributor.author박경진-
dc.date.accessioned2019-12-31T01:33:38Z-
dc.date.available2019-12-31T01:33:38Z-
dc.date.issued2018-09-
dc.identifier.citationJOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, v. 32, No. 9, Page. 4255-4269en_US
dc.identifier.issn1738-494X-
dc.identifier.issn1976-3824-
dc.identifier.urihttps://link.springer.com/article/10.1007/s12206-018-0824-2-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/121435-
dc.description.abstractIn robust optimization, an optimum solution of a system is obtained when some uncertainties exist in the system. The uncertainty can be defined by probabilistic characteristics or deterministic intervals (uncertainty ranges or tolerances) that are the main concern in this study. An insensitive objective function is obtained with regard to the uncertainties or the worst case is considered for the objective function within the intervals in robust optimization. A supreme value within the uncertainty interval is minimized. The worst case approach has been extensively utilized in the linear programming (LP) community. However, the method solved only small scale problems of structural optimization where nonlinear programming (NLP) is employed. In this research, a novel worst case approach is proposed to solve large scale problems of structural optimization. An uncertainty interval is defined by a tolerance range of a design variable or problem parameter. A supreme value is obtained by optimization of the objective function subject to the intervals, and this process yields an inner loop. The supremum is minimized in the outer loop. Linearization of the inner loop is proposed to save the computational time for optimization. This technique can be easily extended for constraints with uncertainty intervals because the worst case of a constraint should be satisfied. The optimum sensitivity is utilized for the sensitivity of a supremum in the outer loop. Three examples including a mathematical example and two structural applications are presented to validate the proposed idea.en_US
dc.description.sponsorshipThis research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MEST) (No. NRF-2017R1A2B4004480). The authors are thankful to Mrs. MiSun Park for the English correction of the manuscript.en_US
dc.language.isoen_USen_US
dc.publisherKOREAN SOC MECHANICAL ENGINEERSen_US
dc.subjectRobust optimizationen_US
dc.subjectSupremum of a functionen_US
dc.subjectWorst case approachen_US
dc.titleA novel worst case approach for robust optimization of large scale structuresen_US
dc.typeArticleen_US
dc.relation.no9-
dc.relation.volume32-
dc.identifier.doi10.1007/s12206-018-0824-2-
dc.relation.page4255-4269-
dc.relation.journalJOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY-
dc.contributor.googleauthorLee, Se-Jung-
dc.contributor.googleauthorJeong, Min-Ho-
dc.contributor.googleauthorPark, Gyung-Jin-
dc.relation.code2018004032-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF ENGINEERING SCIENCES[E]-
dc.sector.departmentDEPARTMENT OF MECHANICAL ENGINEERING-
dc.identifier.pidgjpark-
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COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > MECHANICAL ENGINEERING(기계공학과) > Articles
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