Home Journals Articles Updates About
CN
image
收藏切换
Reliability study on bearing capacity of monopile wind turbines based on structure-soil coupling
收藏切换
PDF
Su-xi TANG, Qi-lin YIN, Jin-jin ZHAI, Wei WANG
Journal of Ship Mechanics | 2024, 28(8) : 1254 - 1264
Less
收藏切换
Journal of Ship Mechanics | 2024, 28(8): 1254-1264
• Structural Mechanics •
Reliability study on bearing capacity of monopile wind turbines based on structure-soil coupling
Full
Su-xi TANG, Qi-lin YIN, Jin-jin ZHAI, Wei WANG
Affiliations
  • Jiangsu University of Science and Technology, Zhenjiang 212100, China
Published: 2024-08-20 doi: 10.3969/j.issn.1007-7294.2024.08.012
Outline
收藏切换

Large-diameter monopiles are an important type of offshore wind turbines (OWTs) foundations, whose bearing capacities are the core issue in foundation design. In this paper, the BP neural network and Monte-Carlo simulation coupled method were improved and used to study the reliability of the bearing capacity of a large-diameter monopile wind turbine under serviceability limit state (SLS), considering the real geological condition and the correlation of wind speed, wave height and wave period. The bearing capacity analysis was conducted based on the monopile-soil contact surface model. The accuracy of the numerical model was verified in two conditions: sand and clay foundations, respectively. Then the finite element model was adopted to determine the values of the training points of neural network. Finally, with the LW 8MW OWT taken as an example, the reliability of the bearing capacity of the monopile-supported OWT under SLS was calculated. The improved method can provide a reference for the subsequent design and construction of offshore wind farms in China.

OWT of monopile  /  reliability of bearing capacity  /  monopile-soil contact surface model  /  BP neural network and Monte-Carlo simulation  /  parameter correlation
Su-xi TANG, Qi-lin YIN, Jin-jin ZHAI, Wei WANG. Reliability study on bearing capacity of monopile wind turbines based on structure-soil coupling[J]. Journal of Ship Mechanics, 2024 , 28 (8) : 1254 -1264 . DOI: 10.3969/j.issn.1007-7294.2024.08.012
Appendix
Less
Year 2024 volume 28 Issue 8
PDF
83
36
Cite this Article
BibTeX
Article Info
doi: 10.3969/j.issn.1007-7294.2024.08.012
  • Receive Date：2024-02-19
  • Online Date：2026-03-26
  • Published：2024-08-20
Article Data
Affiliations
History
  • Received：2024-02-19
Funding
Affiliations
    Jiangsu University of Science and Technology, Zhenjiang 212100, China
References
Share
https://castjournals.cast.org.cn/joweb/cblx/EN/10.3969/j.issn.1007-7294.2024.08.012
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House