한국해양공학회지 (Journal of Ocean Engineering and Technology)

  • 제27권5호
  • /
  • Pages.63-69
  • /
  • 2013
  • /
  • 1225-0767(pISSN)
  • /
  • 2287-6715(eISSN)
한국해양공학회 (Korean Society of Ocean Engineers)
권호 표지
DOI QR코드

DOI QR Code

부유식 해양플랜트 다점 계류라인의 피로손상모델 비교

Comparison of Fatigue Damage Models of Spread Mooring Line for Floating Type Offshore Plant

  • 박준범 (로이드 선급협회 아시아) ;
  • 김국현 (동명대학교 조선공학과) ;
  • 김경수 (인하대학교 항공조선산업공학부 조선해양공학전공) ;
  • 고대은 (동의대학교 조선해양공학과)
  • Park, Jun-Bum (Lloyd's Register Asia) ;
  • Kim, Kookhyun (Department of Naval Architecture, Tongmyong University) ;
  • Kim, Kyung-Su (Division of Aerospace, Naval Architecture and Industrial Engineering, Inha University) ;
  • Ko, Dae-Eun (Department of Naval Architecture and Ocean Engineering, Dong-Eui University)
  • 투고 : 2013.05.14
  • 심사 : 2013.09.24
  • 발행 : 2013.10.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

The mooring lines of a floating type offshore plant are known to show wide banded and bimodal responses. These phenomena come from a combination of low and high frequency random load components, which are derived from the drift-restoring motion characteristic and wind- sea, respectively. In this study, fatigue models were applied to predict the fatigue damage of mooring lines under those loads, and the result were compared. For this purpose, seven different fatigue damage prediction models were reviewed, including mathematical formula. A FPSO (floating, production, storage, and offloading) with a $4{\times}4$ spread catenary mooring system was selected as a numerical model, which was already installed at an offshore area of West Africa. Four load cases with different combinations of wave and wind spectra were considered, and the fatigue damage to each mooring line was estimated. The rain flow fatigue damage for the time process of the mooring tension response was compared with the results estimated by all the fatigue damage prediction models. The results showed that both Benasciutti-Tovo and JB models could most accurately predict wide banded bimodal fatigue damage to a mooring system.

키워드

참고문헌

  1. ABS, 2006. Spectral-based Fatigue Analysis for Floationg Production, Storage and Offloading (FPSO) Systems. ABS Guidance Note, American Bureau of Shipping, USA
  2. American Petroleum Institute (API), 2005. Recommended Practice 3rd Edition 2SK Design and Analysis of Stationkeeping Systems for Floating Structures. API.
  3. Benasciutti, D., Tovo, R., 2005. Spectral Methods for Lifetime Prediction under Wide-band Stationary Random Processes. International Journal of Fatigue, 27(8), 867-877. https://doi.org/10.1016/j.ijfatigue.2004.10.007
  4. BV, 2008. Ariane7 User Guide. Bureau Veritas, French
  5. Dirlik T., 1985. Application of Computers in Fatigue. PhD Thesis, University of Warwick.
  6. DNV, 2008. Fatigue Assessment of Ship Structures. DNV Classification Notes No.30.7, Det Norske Veritas, Norway.
  7. Jiao, G., Moan, T., 1990. Probabilistic Analysis of Fatigue due to Gaussian Load Processes. Probabilistic Engineering Mechanics, 5(2), 76-83. https://doi.org/10.1016/0266-8920(90)90010-H
  8. KR, 2010. Guidance for the Fatigue Strength Assessment of Ship Structures. Rules for Classification of Steel Ships, Korean Resister of Shipping, Korea.
  9. Lim, Y.C., Kim, K.S., Choung, J.M., 2010. Fatigue Damage Combination for Spread Mooring System under Stationary Random Process with Bimodal Spectrum Characteristics. Journal of the Society of Naval Architects of Korea, 47(6), 813-820. https://doi.org/10.3744/SNAK.2010.47.6.813
  10. Lloyd, 2002. Fatigue Design Assessment, Level 3 Guidance on Direct Calculations. Lloyd's Register, UK.
  11. Madsen H.O., Krenk S., Lind N.C., 1986. Methods of Structural Safety. Prentice-Hall, Englewood Cliffs, New Jersey
  12. Matsuishi, M., Endo, T., 1968. Fatigue of Metals Subjected to Varying Stress-fatigue Lives under Random Loading. In: Paper presented to Japan Society of Mechanical Engineers, Fukuoka Japan, 37-40.
  13. Miner M.A., 1945. Cumulative Damage in Fatigue. Journal of Applied Mechanics, 12, 159-164.
  14. Park, J.B., 2011. The Development of a Fatigue Damage Model for the Wide Band Random Loading. PhD Thesis, Inha University.
  15. Park, J.B., Kim, K.S., Choung, J.M., Kim, J.W., Yoo, C.H., Ha, Y.S., 2011. Data Acquisition of Time Series from Stationary Ergodic Random Process Spectrums. Journal of Ocean Engineering and Technology, 25(2), 120-126. https://doi.org/10.5574/KSOE.2011.25.2.120
  16. Sakai, S., Okamura, H., 1995. On the Distribution of Rainflow Range for Gaussian Random Processes with Bimodal PSD. Japan Society of Mechanical Engineers International Journal Series A: Mechanics and Material Engineering, 38(4), 440-445.
  17. Wirsching, P.H., Light, M.C., 1980. Fatigue under Wide Band Random Stresses. Journal of the Structural Division, ASCE (American Society of Civil Engineers), 106(7), 1593-1607.
  18. Zhao, W., Baker, M.J., 1992. On the Probability Density Function of Rain-flow Stress Range for Stationary Gaussian Processes. International Journal of Fatigue, 14(2), 121-135. https://doi.org/10.1016/0142-1123(92)90088-T