Development of Structure Monitoring Systems and Digital Twin Technology of Active Jacket Platforms

被引：0

作者：

Yan T. ^{[1
]}

Wang W. ^{[1
]}

Zhao H. ^{[1
]}

Zhou G. ^{[1
]}

机构：

[1] School of Mechanical Science and Engineering of Northeast Petroleum University, Daqing

来源：

Zhongguo Jixie Gongcheng/China Mechanical Engineering | 2021年 / 32卷 / 20期

关键词：

Digital twin; Finite element model modification; Jacket platform; Structural health monitoring;

D O I：

10.3969/j.issn.1004-132X.2021.20.014

中图分类号：

学科分类号：

摘要：

At present, nearly one-third of China's offshore jacket platforms had exceeded or were about to reach the design life, and the maintenance or repair of the platform structures were more urgent than ever. The traditional underwater structure damage detection of jackets had fewer measuring points, and was difficult, expensive, and might not predict the states of the platform structures. A jacket platform structure monitoring system was developed in the South China Sea. The system mainly included marine wind and wave environmental monitoring and platform structural vibrations and strain response monitoring. According to the monitoring data, a digital twin of the active jacket platform structures was proposed based on the dual finite element model modification. The safety assessment and life prediction models of the platform structures were modified through the digital twin technology to grasp the structural behaviors of the offshore jacket platform structures during the entire service cycle. Scientific prediction and preventive maintenance were used to extend the life of the platforms. © 2021, China Mechanical Engineering Magazine Office. All right reserved.

引用

页码：2508 / 2513

页数：5

共 11 条

[1] GRIEVES M, VICKERS J., Digital Twin: Mitigatingunpre-dictable, Undesirable Emergent Behavior in Complex Systems, Transdisciplinary Perspectives on Complex Systems: New Findings Andapproaches, pp. 85-113, (2017)
[2] TUEGEL E J, INGRAFFFFEA A R, EASON T G, Et al., Reengineering Aircraftstructural Life Prediction Usinga Digital Twin, Int. J. Aerospace Eng, 3, pp. 1-14, (2011)
[3] SUBRATA B., Digital Twin of Subsea Pipelines: Conceptual Design Integrating IoT, Machine Learning and Data Analytics, Proceedings of the Annual Offshore Technology Conference, pp. 1-9, (2019)
[4] LIU Zhansheng, BAI Wenyan, DU Xiuli, Digital Twin-based Safety Evaluation of Prestressed Steel Structure, Advances in Civil Engineering, pp. 1-10, (2020)
[5] MACKIE S., Digital Twin Extending Life of North Sea Mittelplate Platform, Offshore, 79, 10, pp. 22-25, (2019)
[6] LEK E., Digital Twin Strategy Improves Offshore Oil and Gas Production, Offshore, 79, 4, pp. 46-48, (2019)
[7] DAVID F R., Digital Twin Model Improves Riser Integrity Management, Offshore, 79, 10, pp. 55-57, (2019)
[8] TYGESEN U T, WORDEN K, ROGERS T, Et al., State-of-the-Art and Future Directions for Predictive Modelling of Offshore Structure Dynamics Using Machine Learning, Proceedings of the 36th IMAC, a Conference and Exposition on Structural Dynamics, pp. 223-234, (2018)
[9] TYGESEN U T, JEPSEN M S., The True Digital Twin Concept for Fatigue Re-assessment of Marine Structures, Proceedings of the ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering, pp. 1-11, (2018)
[10] AN Zhenwu, Structural Health Monitoring Technology Applicable to Jacket Platform Based on Vibration, Tianjin Science & Technology, 45, 6, pp. 41-45, (2018)

← 1 2 →