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      KCI등재 SCIE SCOPUS

      AUV hull lines optimization with uncertainty parameters based on six sigma reliability design

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      https://www.riss.kr/link?id=A105479293

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      다국어 초록 (Multilingual Abstract)

      Autonomous Underwater Vehicle (AUV), which are becoming more and more important in ocean exploitation tasks, needs energy conservation urgently when sailing the complex mission path in long time cruise. As hull lines optimization design becomes the ke...

      Autonomous Underwater Vehicle (AUV), which are becoming more and more important in ocean exploitation tasks, needs energy conservation urgently when sailing the complex mission path in long time cruise. As hull lines optimization design becomes the key factor, which closely related with resistance, in AUV preliminary design stage, uncertainty parameters need to be considered seriously. In this research, Myring axial symmetry revolution body with parameterized expression is assumed as AUV hull lines, and its travelling resistance is obtained via modified DATCOM formula. The problems of AUV hull lines design for the minimum travelling resistance with uncertain parameters are studied. Based on reliability-based optimization design technology, Design For Six Sigma (DFSS) for high quality level is conducted, and is proved more reliability for the actual environment disturbance.

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      참고문헌 (Reference)

      1 Diez, Matteo, "Uncertainty quantification of Delft catamaran resistance, sinkage and trim for variable Froude number and geometry using metamodels, quadrature and KarhuneneLoeve expansion" 19 : 143-169, 2014

      2 Wei, H.E., "URANS study of Delft catamaran total/added resistance, motions and slamming loads in head sea including irregular wave and uncertainty quantification for variable regular wave and geometry" 74 : 189-217, 2013

      3 Yan-xia, S.U.N., "Topics in Optimization" Academic Press 4460-4493, 1967

      4 Apostolos, Papanikolaou, "Stochastic uncertainty modelling for ship design loads and operational guidance" 86 : 47-57, 2014

      5 Diez, Matteo, "Robust optimization for ship conceptual design" 37 : 966-977, 2010

      6 Fang-yi, L.I., "Reliabilitybased optimization design of structure subjected to vehicle frontal impact based on probability-convex hybrid model" 35 (35): 215-219, 2016

      7 Richard, Dahoo Pierre, "Reliabilitybased Design Optimization[M]//Nanometer-scale Defect Detection Using Polarized Light" John Wiley & Sons, Inc 25-45, 2016

      8 Vasudev, Lakshmi, Kondeti, "Optimization design framework for AUVs using GA" 2014

      9 Leotardi, Cecilia, "On the use of uncertainty quantification in variable-accuracy simulation-based multidisciplinary optimization" 2015

      10 Ba-Abbad, Mazen A., "New approach for system reliability-based design optimization" 129 (129): 1087-1096, 2015

      1 Diez, Matteo, "Uncertainty quantification of Delft catamaran resistance, sinkage and trim for variable Froude number and geometry using metamodels, quadrature and KarhuneneLoeve expansion" 19 : 143-169, 2014

      2 Wei, H.E., "URANS study of Delft catamaran total/added resistance, motions and slamming loads in head sea including irregular wave and uncertainty quantification for variable regular wave and geometry" 74 : 189-217, 2013

      3 Yan-xia, S.U.N., "Topics in Optimization" Academic Press 4460-4493, 1967

      4 Apostolos, Papanikolaou, "Stochastic uncertainty modelling for ship design loads and operational guidance" 86 : 47-57, 2014

      5 Diez, Matteo, "Robust optimization for ship conceptual design" 37 : 966-977, 2010

      6 Fang-yi, L.I., "Reliabilitybased optimization design of structure subjected to vehicle frontal impact based on probability-convex hybrid model" 35 (35): 215-219, 2016

      7 Richard, Dahoo Pierre, "Reliabilitybased Design Optimization[M]//Nanometer-scale Defect Detection Using Polarized Light" John Wiley & Sons, Inc 25-45, 2016

      8 Vasudev, Lakshmi, Kondeti, "Optimization design framework for AUVs using GA" 2014

      9 Leotardi, Cecilia, "On the use of uncertainty quantification in variable-accuracy simulation-based multidisciplinary optimization" 2015

      10 Ba-Abbad, Mazen A., "New approach for system reliability-based design optimization" 129 (129): 1087-1096, 2015

      11 Guo-qing, X.I.A., "Multi-objective optimization for AUV conceptual design based on NSGA-II" 1-6, 2016

      12 Sebastian, Koziolek, "Method of assessing the quality of the design process of construction equipment with the use of DFSS (design for Six Sigma)" 22 (22): 223-232, 2012

      13 De Barros, Pascoal, "Investigation of a method for predicting AUV derivatives" 35 : 1627-1636, 2008

      14 Hannapel, Shari, "Introducing uncertainty in multidiscipline ship design" 122 (122): 41-52, 2010

      15 Campana, Emilio F., "High-fidelity global optimization of shape design by dimensionality reduction, metamodels and deterministic particle swarm" 47 (47): 473-494, 2015

      16 Diez, Matteo, "Global optimization algorithms for robust optimization in naval design" COMPIT 2009

      17 Oliveira Junior, "Adaptive simulated annealing" 35 (35): 33-62, 2012

      18 Joung, Taehwan, "A study on the design optimization of an AUV by using computational fluid dynamic analysis" International Society of Offshore and Polar Engineers 2009

      19 Rubio-Solar, Manuel, "A FPGA optimization tool based on a multi-island genetic algorithm distributed over grid environments" IEEE Computer Society 65-72, 2008

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      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2013-10-01 평가 SCIE 등재 (등재유지) KCI등재
      2011-01-01 평가 등재후보학술지 유지 (기타) KCI등재후보
      2009-01-01 평가 SCIE 등재 (기타) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.56 0.18 0.54
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.49 0.47 0.475 0.04
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