期刊
OCEAN ENGINEERING
卷 225, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.oceaneng.2021.108809
关键词
Mooring system; Extreme response analysis; EC approach; Long-term response analysis; ACER approach
资金
- National Key Research and Development Program of China [2016YFC0303401]
- National Natural Science Foundation of China [51779236]
- National Natural Science Foundation of China-Shandong Joint Fund [U1706226]
This study evaluates the design loads of mooring lines for offshore floating structures subjected to random loads using statistical models such as the global maxima method, Weibull distribution, POT method and ACER method. By considering different load combinations and the Nataf transformation model, a more reliable design load estimation is established.
As vital key parts of offshore floating structures, mooring systems should be able to withstand harsh environmental conditions. This study aims to assess the design loads of mooring lines subjected to random loads using various statistical models. A benchmark of extreme values is established using the global maxima method, and is based upon a Weibull distribution model for the maxima of 150 3-h time series generated by a given design sea condition with different random seeds. To reduce the computational cost, a peak-over-threshold (POT) method is combined with an asymptotic approach. Different variations are investigated, and a better choice for the number of individual top peaks from single time domain simulations is determined from a statistical error analysis. The average conditional exceedance rate (ACER) method and environmental contour (EC) approach are also applied and compared. The effects of various load combinations are considered, and a 3-D EC surface is established based on the Nataf transformation model. A simplified long-term extreme response analysis is conducted by accounting for the POT-based variabilities, so as to provide a more reliable design load estimation. Numerical results are presented and discussed for the tension estimation of a semi-submersible platform considering a long-term coupled analysis.
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