reliability analysis;
Monte Carlo simulation;
offshore mooring chain;
first order;
reliability method;
RESPONSE-SURFACE APPROACH;
DYNAMICS;
SYSTEM;
D O I:
10.3389/fbuil.2024.1463682
中图分类号:
TU [建筑科学];
学科分类号:
0813 ;
摘要:
As offshore wind farms move into deeper waters, around 80 m, the high costs necessitate replacing bottom-fixed turbines with floating offshore wind turbines, which require mooring systems to maintain stability within design limits. Data from previous projects in China indicate that mooring systems can constitute about 20% of the total investment. Thus, reducing mooring system costs can significantly benefit the development of next-generation floating wind farms. This paper discusses the reliability analysis of mooring chains for floating wind turbines to optimize inspection plans and strategies, thereby saving on maintenance costs over their design lifetime. A case study on S-N curve based fatigue reliability analysis is conducted using both Monte Carlo Simulation and First Order Reliability Method (FORM), with consistent results from both methods. Additionally, three sensitivity analysis cases identify key parameters for the fatigue reliability analysis.
机构:
Sun Yat Sen Univ, Sch Civil Engn, Guangzhou, Peoples R China
Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R ChinaSun Yat Sen Univ, Sch Civil Engn, Guangzhou, Peoples R China
Tang, Xiwei
Huang, Wei
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h-index: 0
机构:
Sun Yat Sen Univ, Sch Civil Engn, Guangzhou, Peoples R China
Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R ChinaSun Yat Sen Univ, Sch Civil Engn, Guangzhou, Peoples R China
Huang, Wei
Li, Xueyou
论文数: 0引用数: 0
h-index: 0
机构:
Sun Yat Sen Univ, Sch Civil Engn, Guangzhou, Peoples R China
Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R ChinaSun Yat Sen Univ, Sch Civil Engn, Guangzhou, Peoples R China
Li, Xueyou
Ma, Gang
论文数: 0引用数: 0
h-index: 0
机构:
Harbin Engn Univ, Yantai Res Inst, Yantai, Peoples R ChinaSun Yat Sen Univ, Sch Civil Engn, Guangzhou, Peoples R China