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Hinge joint damage identification method of soft yoke mooring system based on multibody dynamic modeling and structural monitoring data

机译:基于多体动态建模和结构监测数据的软轭系泊系统铰接联合损伤识别方法

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摘要

Soft yoke mooring system (SYMs) is a single-point mooring system used in shallow water oil and gas development. In general, SYMs consists of mooring framework support, mooring legs, yoke, and single-point turret and it forms a multibody dynamic system with 13 hinge joint structures such as universal joints and thrust bearings. The hinge joint is one of the key components of SYMs; therefore, it is necessary to accurately evaluate the operating behavior of the hinge joints. In this study, real-time damage identification is conducted based on the multibody dynamic features of the SYMs. First, a long-term monitoring strategy for the prototype application is developed based on the multibody governing equations of the SYMs. The motion behaviors and stress state of the hinge joints and bodies are calculated using prototype monitoring data. A hinge joint damage identification based on the virtual moment is proposed by considering the changes in the friction coefficient in the damage state. The virtual moment method is used to transform the damage identification problem of the SYMs into a problem of seeking the optimal solution to the dynamics identification function. Genetic algorithm (GA) is implemented to seek the optimal solution of the friction coefficient of each hinge joint. A large-scale model testing system of the SYMs is established to perform the damage identification of the bottom hinge joints of the SYMs. The results show that the proposed method can effectively identify the damage degree and position of the hinge joints of the SYMs and provide a real-time warning system for the in-service operation of the SYMs.
机译:软轭系泊系统(Syms)是一种用于浅水油和天然气开发的单点系泊系统。一般而言,Syms包括系泊框架支撑,系泊腿,轭和单点塔楼,它形成了一种具有13个铰链接头结构的多体动态系统,如通用接头和推力轴承。铰链接头是Syms的关键组件之一;因此,有必要准确地评估铰链接头的操作行为。在本研究中,基于Syms的多体动态特征进行实时损坏识别。首先,基于SOMMS的多体管理方程式开发了一种用于原型应用的长期监测策略。使用原型监视数据计算铰接接头和体的运动行为和应力状态。通过考虑损坏状态下的摩擦系数的变化,提出了一种基于虚拟时刻的铰链接头损伤识别。虚拟时刻方法用于将损害识别问题转换为寻求动态识别功能的最佳解决方案的问题。实施遗传算法(GA)以寻求每个铰链接头的摩擦系数的最佳解决方案。建立了一个大规模的模型测试系统,以执行Syms底部铰链接头的损伤识别。结果表明,该方法可以有效地识别铰接接头的损伤程度和位置,并为Syms的服务运行提供实时警告系统。

著录项

  • 来源
    《Marine Structures》 |2020年第11期|102808.1-102808.16|共16页
  • 作者单位

    Dalian Univ Technol Fac Vehicle Engn & Mech Dalian 116024 Peoples R China|Dalian Univ Technol State Key Lab Struct Anal Ind Equipment Dalian 116024 Peoples R China;

    Dalian Univ Technol Fac Vehicle Engn & Mech Dalian 116024 Peoples R China|Dalian Univ Technol State Key Lab Struct Anal Ind Equipment Dalian 116024 Peoples R China;

    Dalian Univ Technol Fac Vehicle Engn & Mech Dalian 116024 Peoples R China|Dalian Univ Technol State Key Lab Struct Anal Ind Equipment Dalian 116024 Peoples R China;

    China Natl Offshore Oil Corp CNOOC Res Inst Beijing 100027 Peoples R China;

    Dalian Univ Technol Fac Vehicle Engn & Mech Dalian 116024 Peoples R China|Dalian Univ Technol State Key Lab Struct Anal Ind Equipment Dalian 116024 Peoples R China;

    Dalian Univ Technol Fac Vehicle Engn & Mech Dalian 116024 Peoples R China|Dalian Univ Technol State Key Lab Struct Anal Ind Equipment Dalian 116024 Peoples R China|Dalian Univ Technol Sch Ocean Sci & Technol Panjin 124000 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Damage identification; Multibody dynamic modeling; Soft yoke mooring system (SYMs); Monitoring; Genetic algorithm;

    机译:损伤识别;多体动态建模;软轭系泊系统(Syms);监测;遗传算法;
  • 入库时间 2022-08-18 21:45:19

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