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Axial force inversion method of deepwater jacket platform based on digital twin method
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Science & Technology Review | 2023, 41(15) : 97 - 105
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Science & Technology Review | 2023, 41(15): 97-105
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Axial force inversion method of deepwater jacket platform based on digital twin method
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ZHANG Yanfang1, CHENG Congzhi2,3, ZHOU Lei1, WANG Weiwei1, YU Siyuan2,3, WU Wenhua2,3*, LIU Lei4, ZHU Dongxu4
Affiliations
    1. Offshore Oil Engineering Co., Ltd., Tianjin 300451, China
    2. State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Dalian University of Technology, Dalian 116024, China
    3. Faculty of Vehicle Engineering and Mechanics, Dalian University of Technology, Dalian 116024, China
    4. Dalian Kingmile Anticorrosion Technology Co.,Ltd., Dalian 116024, China
Published: 2023-08-13 doi: 10.3981/j.issn.1000-7857.2023.15.010
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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
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
Year 2023 volume 41 Issue 15
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doi: 10.3981/j.issn.1000-7857.2023.15.010
  • Receive Date:2023-03-04
  • Online Date:2023-08-30
  • Published:2023-08-13
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  • Received:2023-03-04
  • Revised:2023-06-30
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https://castjournals.cast.org.cn/joweb/kjdb/EN/10.3981/j.issn.1000-7857.2023.15.010
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表12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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