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基于数字孪生的深水导管架杆件轴力反演方法
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科技导报 | 论文 2023, 41(15): 97-105
基于数字孪生的深水导管架杆件轴力反演方法
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张艳芳1,程丛志2,3,周雷1,王巍巍1,于思源2,3,武文华2,3*,刘磊4,朱东旭4
作者信息
    1. 海洋石油工程股份有限公司,天津 300451
    2. 大连理工大学工业装备结构分析优化与CAE软件全国重点实验室, 大连 116024
    3. 大连理工大学运载工程与力学学部,大连 116024
    4. 大连科迈尔防腐科技有限公司,大连 116024

通讯作者:

武文华(通信作者),教授,研究方向为海洋工程结构监测,电子信箱:lxyuhua@dlut.edu.cn
Axial force inversion method of deepwater jacket platform based on digital twin method
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出版时间: 2023-08-13 doi: 10.3981/j.issn.1000-7857.2023.15.010
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深水导管架平台是我国南海具有广泛应用前景的海洋油气装备。实时、准确地获取深水导管架关注杆件的受力行为可以及时评估导管架的在役安全状态。基于数字孪生方法开展了深水导管架杆件轴力反演方法研究,并在亚洲最大的导管架——陆丰15-1平台进行现场验证。结合深水导管架现场监测系统,建立数字孪生系统框架;开展了基于实测海况的海洋环境载荷特征提取和SACS-ANSYS仿真数据库构建;结合海况插值算法,给出了监测海况下关注杆件轴力的计算过程;基于监测部分海况数据验证了本文算法在陆丰15-1深水导管架平台的可行性。
数字孪生  /  深水导管架  /  轴力反演
Deepwater jacket platform has found wide application in the South China Sea. Real-time and accurate acquisition of the forcing state of concerned members of the deepwater jacket platform can assess the safety status of the platform in service. Using the digital twinning methodology, this paper presents an axial force inversion method of deepwater jacket platform and carries out field verification on the LF 15-1 platform which is the largest jacket in Asia. Firstly, a digital twinning framework is established through an on-field monitoring system. Then, based on SACS simulation database and sea state interpolation algorithm, a procedure to calculate the axial force of concerned member under monitoring is developed. Finally, feasibility of the algorithm is verified on the LF 15-1 deepwater jacket platform with the prototype of monitored sea state data. The research results can provide reference for operation and maintenance of deepwater jacket platforms.
digital twin  /  deepwater jacket platform  /  axial force inversion
张艳芳,程丛志,周雷,王巍巍,于思源,武文华,刘磊,朱东旭. 基于数字孪生的深水导管架杆件轴力反演方法. 科技导报, 2023 , 41 (15) : 97 -105 . DOI: 10.3981/j.issn.1000-7857.2023.15.010
ZHANG Yanfang, CHENG Congzhi, ZHOU Lei, WANG Weiwei, YU Siyuan, WU Wenhua, LIU Lei, ZHU Dongxu. Axial force inversion method of deepwater jacket platform based on digital twin method[J]. Science & Technology Review, 2023 , 41 (15) : 97 -105 . DOI: 10.3981/j.issn.1000-7857.2023.15.010
2023年第41卷第15期
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doi: 10.3981/j.issn.1000-7857.2023.15.010
  • 接收时间:2023-03-04
  • 首发时间:2023-08-30
  • 出版时间:2023-08-13
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  • 收稿日期:2023-03-04
  • 修回日期:2023-06-30
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武文华(通信作者),教授,研究方向为海洋工程结构监测,电子信箱:lxyuhua@dlut.edu.cn
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

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
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