| 基于现场实测数据的半潜式平台运动响应分析和极值预测研究 |
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| 引用本文： | 孙刘璐,于思源,武文华,谢彬,王世圣.基于现场实测数据的半潜式平台运动响应分析和极值预测研究[J].海洋工程,2022,40(1):57-64. |
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| 作者姓名： | 孙刘璐 于思源 武文华 谢彬 王世圣 |
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| 作者单位： | 大连理工大学 运载工程与力学学部工程力学系 工业装备结构分析国家重点实验室,辽宁 大连 116024;大连理工大学 运载工程与力学学部工程力学系 工业装备结构分析国家重点实验室,辽宁 大连 116024;大连理工大学 宁波研究院,浙江 宁波 315000;中海石油(中国)有限公司研究总院,北京 100027 |
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| 基金项目： | 国家自然科学基金(11572072);自由探索类基础研究项目(2021Szvup021,DUT20ZD213,DUT20LAB308) |
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| 摘 要： | 浮式平台承受风浪流等多种海洋环境载荷作用,呈现出复杂的运动学响应状态.通过对"南海挑战号"半潜式平台的实测六自由度响应数据进行分析,采用广义极值分布建立六自由度响应的概率密度和分布模型,并通过K-S(Kolmogorov-Smirnov)检验验证了分布模型的合理性,进而开展了对该平台多年一遇重现期的六自由度响应极值预测研究.通过与平台的初始设计指标进行对比,发现平台的横荡、纵荡等五个自由度表现良好,而垂荡的响应极值超出设计指标,在现场作业中应予以注意研究成果对平台的安全作业具有辅助指导意义,可将预测结果作为极端恶劣海况下,人员提前撤离的辅助决策支持.通过更新平台的监测数据进行极值分析和预测研究可评估平台的性能变化行为.
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| 关 键 词： | 半潜式平台 六自由度响应 广义极值分布 K-S检验 极值预测 |
| 收稿时间： | 2021/1/19 0:00:00 |
Motion analysis and extreme value prediction of semi-submersible platform based on prototype monitoring data |
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| SUN Liulu,YU Siyuan,WU Wenhu,XIE Bin,WANG Shisheng.Motion analysis and extreme value prediction of semi-submersible platform based on prototype monitoring data[J].Ocean Engineering,2022,40(1):57-64. |
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| Authors: | SUN Liulu YU Siyuan WU Wenhu XIE Bin WANG Shisheng |
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| Institution: | Department of Engineering Mechanics, State Key Laboratory of Analysis of Industrial Equipment, Dalian University of Technology, Dalian 116024, China;Department of Engineering Mechanics, State Key Laboratory of Analysis of Industrial Equipment, Dalian University of Technology, Dalian 116024, China;Ningbo Institute of Dalian University of Technology, Ningbo 315000, China;China National Offshore Oil Corporation (CNOOC) Research Institute, Beijing 100027, China |
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| Abstract: | The offshore floating platform exhibits a complex kinematic response under the coupling actions of various marine environmental loads such as wind, waves and currents. We analyze the long-term prototype monitoring six-degree-of-freedom motion data on the "Nanhai Tiaozhan" semi-submersible platform. The probability density and distribution laws of the six-degree-of-freedom motions are established by using the generalized extreme value distribution method. The K-S (Kolmogorov-Smirnov) test is performed to verify the rationality of each distribution law. Then the extreme value prediction of the six-degree-of-freedom motion is made within different return periods. By comparing with the initial design indicators of the platform, it is found that the five-degree-of-freedom motions of the platform, such as swaying, and swaying perform well, but the response extreme value of the heave exceeds the design indicators. The safety of the research results on the platform during field operations should be paid attention to. The operation has the significance of auxiliary guidance, and the predicted result can be used as an auxiliary decision support for the early evacuation of personnel under extremely severe sea conditions. By updating the monitoring data of the platform for extreme value analysis and prediction research, the performance change behavior of the platform can be evaluated. |
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| Keywords: | semi-submersible platform six-degrees-of-freedom motions generalized extreme value distribution kolmogorov-smirnov test extreme value prediction |
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