Statistical Analysis and Prediction for Behaviors of Tracked Vehicle Traveling on Soft Soil Using Response Surface Methodology

반응표면법에 의한 연약지반 차량 거동의 통계적 분석 및 예측

  • Lee Tae-Hee (Hanyang Univeristy, School of Mechanical Engineering) ;
  • Jung Jae-Jun (Hanyang Univeristy, School of Mechanical Engineering) ;
  • Hong Sup (Ocean Development System Laboratory, KORDI) ;
  • Km Hyung-Woo (Ocean Development System Laboratory, KORDI) ;
  • Choi Jong-Su (Ocean Development System Laboratory, KORDI)
  • 이태희 (한양대학교 기계공학부) ;
  • 정재준 (한양대학교 기계공학부) ;
  • 홍섭 (한국해양연구원 해양개발시스템연구본부) ;
  • 김형우 (한국해양연구원 해양개발시스템연구본부) ;
  • 최종수 (한국해양연구원 해양개발시스템연구본부)
  • Published : 2006.06.01


For optimal design of a deep-sea ocean mining collector system, based on self-propelled mining vehicle, it is imperative to develop and validate the dynamic model of a tracked vehicle traveling on soft deep seabed. The purpose of this paper is to evaluate the fidelity of the dynamic simulation model by means of response surface methodology. Various statistical techniques related to response surface methodology, such as outlier analysis, detection of interaction effect, analysis of variance, inference of the significance of design variables, and global sensitivity analysis, are examined. To obtain a plausible response surface model, maximum entropy sampling is adopted. From statistical analysis and prediction for dynamic responses of the tracked vehicle, conclusions will be drawn about the accuracy of the dynamic model and the performance of the response surface model.


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