Improved Inverse First-Order Reliability Method for Analyzing Long-Term Response Extremes of Floating Structures

Long-term responses of floating structures pose a great concern in their design phase. Existing approaches for addressing long-term extreme responses are extremely cumbersome for adoption. This work aims to develop an approach for the long-term extreme-response analysis of floating structures. A mod...

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Vydáno v:Journal of marine science and application Ročník 24; číslo 3; s. 552 - 566
Hlavní autoři: Wang, Junrong, Bai, Zhuolantai, Xie, Botao, Gui, Jie, Gong, Haonan, Zhou, Yantong
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2025
Springer Nature B.V
Témata:
Accuracy
Algorithms
Design
Discretization
Electrical Machines and Networks
Engineering
Floating structures
Geotechnical Engineering & Applied Earth Sciences
Machinery and Machine Elements
Offshore
Offshore Engineering
Offshore structures
Operators (mathematics)
Power Electronics
Reliability
Research Article
Response analysis
Structural response
Wind power
Wind turbines
Long-term response analysis
Inverse first-order reliability method
Gradient-based retrieval algorithm
Convolution model
Environmental contour method
Floating structures
ISSN:1671-9433, 1993-5048
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Shrnutí:Long-term responses of floating structures pose a great concern in their design phase. Existing approaches for addressing long-term extreme responses are extremely cumbersome for adoption. This work aims to develop an approach for the long-term extreme-response analysis of floating structures. A modified gradient-based retrieval algorithm in conjunction with the inverse first-order reliability method (IFORM) is proposed to enable the use of convolution models in long-term extreme analysis of structures with an analytical formula of response amplitude operator (RAO). The proposed algorithm ensures convergence stability and iteration accuracy and exhibits a higher computational efficiency than the traditional backtracking method. However, when the RAO of general offshore structures cannot be analytically expressed, the convolutional integration method fails to function properly. A numerical discretization approach is further proposed for offshore structures in the case when the analytical expression of the RAO is not feasible. Through iterative discretization of environmental contours (ECs) and RAOs, a detailed procedure is proposed to calculate the long-term response extremes of offshore structures. The validity and accuracy of the proposed approach are tested using a floating offshore wind turbine as a numerical example. The long-term extreme heave responses of various return periods are calculated via the IFORM in conjunction with a numerical discretization approach. The environmental data corresponding to N -year structural responses are located inside the ECs, which indicates that the selection of design points directly along the ECs yields conservative design results.
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ISSN:1671-9433
1993-5048
DOI:10.1007/s11804-024-00459-6