有限元法
渗透(战争)
穿透深度
海洋工程
岩土工程
海底管道
抽吸
海上风力发电
工程类
机械工程
石油工程
结构工程
涡轮机
运筹学
光学
物理
作者
Xin Zhang,Yuansong Li,Mingyue Liu,Shaoqi Ye,HuaQuan Liu
出处
期刊:PLOS ONE
[Public Library of Science]
日期:2024-02-29
卷期号:19 (2): e0299647-e0299647
被引量:1
标识
DOI:10.1371/journal.pone.0299647
摘要
A suction bucket foundation is a new type offering high construction efficiency, precise positioning, cost-effectiveness, and environmental friendliness. It has been extensively employed in marine resource development, particularly in offshore wind power and oil and gas extraction. It usually involves multiple suction bucket conduit rack platforms during offshore construction projects. Accurately predicting the sinking penetration resistance and determining the suction value is crucial during the construction of the suction bucket foundation, as it ensures the safe sinking of the platform foundation to the designated depth. This paper examines the feasibility of the suction bucket foundation's sinking, sinking penetration resistance, suction value, and self-weight penetration depth, using the offshore wind farm guiding frame platform foundation project in Yangjiang, Guangdong Province, as a basis of analysis. The measured data is analyzed using the API specification static equilibrium analysis method, ABAQUS finite element analysis, and data mining techniques. The suction drum base platform's sinking process was monitored for negative pressure and penetration resistance. These observed values were compared to theoretical and finite element calculations. Results demonstrated that the API specification's theoretical calculations and finite element analyses effectively predict sinking penetration resistance, the suction force value, and the penetration depth for self-gravitational penetration. On-site engineering data fit these theoretical calculations, and finite element analyses well. The findings from this study have enriched the engineering application database of the suction drum foundation, providing a valuable reference for the design and construction of similar projects and establishing the groundwork for further promotion and application.
科研通智能强力驱动
Strongly Powered by AbleSci AI