Browse > Article
http://dx.doi.org/10.5574/KSOE.2013.27.5.063

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

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)
Publication Information
Journal of Ocean Engineering and Technology / v.27, no.5, 2013 , pp. 63-69 More about this Journal
Abstract
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.
Keywords
Floating type offshore plant; Spread mooring line; Fatigue damage assessment; Wide band loading; Fatigue damage model;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Benasciutti, D., Tovo, R., 2005. Spectral Methods for Lifetime Prediction under Wide-band Stationary Random Processes. International Journal of Fatigue, 27(8), 867-877.   DOI   ScienceOn
2 BV, 2008. Ariane7 User Guide. Bureau Veritas, French
3 Dirlik T., 1985. Application of Computers in Fatigue. PhD Thesis, University of Warwick.
4 DNV, 2008. Fatigue Assessment of Ship Structures. DNV Classification Notes No.30.7, Det Norske Veritas, Norway.
5 Jiao, G., Moan, T., 1990. Probabilistic Analysis of Fatigue due to Gaussian Load Processes. Probabilistic Engineering Mechanics, 5(2), 76-83.   DOI   ScienceOn
6 KR, 2010. Guidance for the Fatigue Strength Assessment of Ship Structures. Rules for Classification of Steel Ships, Korean Resister of Shipping, Korea.
7 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.   DOI   ScienceOn
8 Lloyd, 2002. Fatigue Design Assessment, Level 3 Guidance on Direct Calculations. Lloyd's Register, UK.
9 Madsen H.O., Krenk S., Lind N.C., 1986. Methods of Structural Safety. Prentice-Hall, Englewood Cliffs, New Jersey
10 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.
11 ABS, 2006. Spectral-based Fatigue Analysis for Floationg Production, Storage and Offloading (FPSO) Systems. ABS Guidance Note, American Bureau of Shipping, USA
12 American Petroleum Institute (API), 2005. Recommended Practice 3rd Edition 2SK Design and Analysis of Stationkeeping Systems for Floating Structures. API.
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.   DOI   ScienceOn
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.   DOI   ScienceOn