Analysis of probabilistic fatigue damage of mooring system for offshore fish cage considering long-term stochastic wave conditions

被引:8
作者
Hou, Hui-Min [1 ]
Dong, Guo-Hai [1 ]
Xu, Tiao-Jian [1 ]
机构
[1] Dalian Univ Technol, State Key Lab Coastal & Offshore Engn, Dalian 116024, Peoples R China
关键词
Fatigue damage distribution; joint distribution of wave parameters; mooring system; fish cage; DYNAMIC-RESPONSE ANALYSIS; DENSITY EVOLUTION METHOD; RELIABILITY-ANALYSIS; WIND TURBINE; NET CAGE;
D O I
10.1080/17445302.2020.1834752
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
This study deals with the probability distribution of fatigue damage of the mooring system for offshore fish cage considering the uncertainty of long-term wave conditions. A set of numerical simulations for offshore fish cage are performed to predict the fatigue damage of the mooring system. Through a virtual stochastic process model, the probability density function of the long-term fatigue damage of the mooring system is achieved by the generalized probability density evolution method, and the failure probability of the mooring system is predicted. The results demonstrate that the generalized probability density evolution method can effectively provide the fatigue damage distribution from the stochastic point of view. And the calibration of the engineering-based fatigue design factor of the current regulation can be conducted through the fatigue reliability analysis considering the uncertainty of the long-term wave conditions. This study provides a new understanding of the long-term fatigue damage distribution.
引用
收藏
页码:398 / 409
页数:12
相关论文
共 35 条
[1]   Short-term statistics of waves measured off Ratnagiri, eastern Arabian Sea [J].
Amrutha, M. M. ;
Kumar, V. Sanil .
APPLIED OCEAN RESEARCH, 2015, 53 :218-227
[2]  
[Anonymous], 2009, 9415 NS
[3]  
[Anonymous], 2013, P ANN OFFSHORE TECHN, DOI DOI 10.4043/24025-MS
[4]  
API, 2008, Design and analysis of stationkeeping systems for floating units. API recommended practice 2SK
[5]   Dynamic response and reliability analysis of non-linear stochastic structures [J].
Chen, JB ;
Li, J .
PROBABILISTIC ENGINEERING MECHANICS, 2005, 20 (01) :33-44
[6]   The extreme value distribution and dynamic reliability analysis of nonlinear structures with uncertain parameters [J].
Chen, Jlan-Bing ;
Li, Jie .
STRUCTURAL SAFETY, 2007, 29 (02) :77-93
[7]  
Choo Y.I., 1971, J HYDRONAUT, P126
[8]  
Det Norske Veritas (DNV), 2010, RPC203 DNV
[9]  
DNVGL OS-E301, 2015, OSE301 DNVGL
[10]  
DNVGL RP-F204, 2017, RPF204 DNVGL