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Development of a New Simplified Algorithm for Residual Longitudinal Strength Prediction of Asymmetrically Damaged Ships

비대칭 손상 선박의 잔류 종강도 평가를 위한 간이 해석 알고리즘 개발

  • Choung, Joon-Mo (Department of Naval Architecture and Ocean Engineering, Inha University) ;
  • Nam, Ji-Myung (Department of Naval Architecture and Ocean Engineering, Inha University) ;
  • Lee, Min-Seong (Department of Naval Architecture and Ocean Engineering, Inha University) ;
  • Jeon, Sang-Ik (Department of Naval Architecture and Ocean Engineering, Inha University) ;
  • Ha, Tae-Bum (Research and Development Center, Korean Register of Shipping)
  • 정준모 (인하대학교 조선해양공학과) ;
  • 남지명 (인하대학교 조선해양공학과) ;
  • 이민성 (인하대학교 조선해양공학과) ;
  • 전상익 (인하대학교 조선해양공학과) ;
  • 하태범 (한국선급 기술연구소)
  • Received : 2010.12.24
  • Accepted : 2011.05.15
  • Published : 2011.06.20

Abstract

This paper explains the basic theory and a new development of for the residual strength prediction program of the asymmetrically damaged ships, being capable of searching moment-curvature relations considering neutral axis mobility. It is noted that moment plane and neutral axis plane should be separately defined for asymmetric sections. The validity of the new program is verified by comparing moment-curvature curves of 1/3 scaled frigate model where the results from new algorithm well coincide with experimental and nonlinear FEA results for intact condition and with nonlinear FEA results for damaged condition. Applicability of new algorithm is also verified by applying VLCC model to the newly developed program. It is proved that reduction of residual strengths is visually presented using the new algorithm when damage specifications of ABS, DNV and IMO are applied. It is concluded that the new algorithm shows very good performance to produce moment-curvature relations with neutral axis mobility on the asymmetrically damaged ships. It is expected that the new program based on the developed algorithm can largely reduce design period of FE modeling and increase user conveniences.

Acknowledgement

Supported by : 인하대학교

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