Journal of the Society of Naval Architects of Korea (대한조선학회논문집)

The Society of Naval Architects of Korea (대한조선학회)
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Enhanced Influence Coefficient Matrix for Estimation of Local Ice Load on the IBRV ARAON

쇄빙연구선 ARAON호의 국부 빙하중 추정을 위한 영향계수행렬의 보완

  • Cho, Sungrok (Department of Ocean Engineering, Korea Maritime and Ocean University) ;
  • Choi, Kyungsik (Department of Ocean Engineering, Korea Maritime and Ocean University) ;
  • Son, Beomsik (Department of Ocean Engineering, Korea Maritime and Ocean University) ;
  • Jeong, Seong-Yeob (Korea Research Institute of Ships and Ocean Engineering) ;
  • Ha, Jung-Seok (Korea Research Institute of Ships and Ocean Engineering)
  • 조성록 (한국해양대학교 해양공학과) ;
  • 최경식 (한국해양대학교 해양공학과) ;
  • 손범식 (한국해양대학교 해양공학과) ;
  • 정성엽 (선박해양플랜트연구소) ;
  • 하정석 (선박해양플랜트연구소)
  • Received : 2021.07.16
  • Accepted : 2021.09.06
  • Published : 2021.10.20
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Abstract

This paper focuses on the improvement of the influence coefficient matrix method for estimation of local ice load on the icebreaking research vessel ARAON. The influence coefficient matrix relates ice pressure on the hull plate to the measured/calculated hull strain/stress. Conventionally von Mises equivalent stresses representing hull stresses and ice pressure acting on the hull plate are utilized to assemble the influence coefficient matrix. Because of the three dimensional features of the ship-ice collision process, an enhanced method to assemble the influence coefficient matrix is derived considering ice loads in the X, Y, and Z direction simultaneously. Furthermore the location of ice loads acting on hull-plate may fall outside the measuring sensor area, and the enhanced influence coefficient matrix is modified to reduce the difference between the actual and the estimated ice loads by expanding the domain outward from the sensor area. The developed method for enhanced influence coefficient matrix is applied to IBRV ARAON during the 2019 Antarctic ice field test and the local ice loads in three directions are efficiently calculated compared to those by a conventional method.

Keywords

Acknowledgement

본 연구는 2021년 선박해양플랜트연구소의 주요사업인 "극한환경 중 선박성능, 추진기성능, 빙성능 평가기술 및 기계학습기반 성능예측기술 개발 (PES3911)" 과제의 위탁과제 연구비 지원 (project No.10063417)으로 수행된 결과의 일부이며, 2019년 ARAON호의 남극해 실선시험을 위한 극지연구소(KOPRI)의 협력에도 감사드립니다.

References

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