Theoretical and Numerical Study of Eddy Current Pulsed Thermography to Detect Damage of Deep-Sea Manned Pressure Hull

被引:0
作者
Wu, Yu [1 ]
Zhang, Chaohua [1 ]
Wang, Fang [1 ]
Yang, Chao [2 ]
机构
[1] Shanghai Ocean Univ, Coll Engn Sci & Technol, Shanghai Engn Res Ctr Hadal Sci & Technol, Shanghai 201306, Peoples R China
[2] Shanghai Maritime Univ, Merchant Marine Coll, Shanghai 201306, Peoples R China
基金
中国国家自然科学基金;
关键词
deep-sea; manned submersible; micro crack; eddy current; SYSTEM;
D O I
10.3390/jmse11071410
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
At present, research on pressure hull safety is mainly focused on the constitutive model of material properties and the evaluation model of structural parameters aiming at fatigue life prediction. The damage identification and quantitative evaluation methods of pressure hulls have not been studied. In this study, an eddy current thermal imaging method is introduced to detect micro-cracks in a deep-sea spherical pressure hull. In the detection method, temperature is used as a parameter to identify and quantify cracks. The temperature distribution around the cracks is studied using theoretical analysis and finite element simulation. A theoretical model is established using electromagnetic theory and heat transfer theory. Moreover, the temperature difference between the cracked area and the non-cracked area can be obtained by solving the heat conduction equation. A pulsed eddy current thermal imaging testing system is established, and a defective titanium alloy specimen is tested. At the same time, the temperature around the cracks in the specimens is simulated. The specimens have the same material and welding as a deep-sea spherical pressure hull. This paper discusses the possibility of its use in a pressure hull, which will provide a reference for micro-crack damage identification and quantitative evaluation of a deep-sea spherical pressure hull.
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页数:16
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  • [1] Acoustic Emission Monitoring of Fatigue Crack Growth in Mooring Chains
    Angulo, Angela
    Tang, Jialin
    Khadimallah, Ali
    Soua, Slim
    Mares, Cristinel
    Gan, Tat-Hean
    [J]. APPLIED SCIENCES-BASEL, 2019, 9 (11):
  • [2] One-dimensional convolutional neural network for damage detection of jacket-type offshore platforms
    Bao, Xingxian
    Fan, Tongxuan
    Shi, Chen
    Yang, Guanlan
    [J]. OCEAN ENGINEERING, 2021, 219
  • [3] A one-dimensional approach towards edge crack detection and mapping using eddy current thermography
    Barakat, Natali
    Mortadha, Jafar
    Khan, Ali
    Abu-Nabah, Bassam A.
    Hamdan, Mohammad O.
    Al-Said, Samer M.
    [J]. SENSORS AND ACTUATORS A-PHYSICAL, 2020, 309
  • [4] CARSLAW HS, 1959, CONDUCTION HEAT SOLI, P99
  • [5] A Scanning Induction Thermography System for Thread Defects of Drill Pipes
    Chen, Yanting
    Xu, Zhaoyuan
    Wu, Jianbo
    He, Sha
    Roskosz, Maciej
    Xia, Hui
    Kang, Yihua
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71
  • [6] A Chinese strategy to construct a comprehensive investigation system for hadal trenches
    Cui, Weicheng
    Wu, Xin
    [J]. DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY, 2018, 155 : 27 - 33
  • [7] Characterisation and evaluation of paint-coated marine corrosion in carbon steel using eddy current pulsed thermography
    Ding, Song
    Tian, Guiyun
    Zhu, Junzhen
    Chen, Xiaotian
    Wang, Yiqing
    Chen, Yuming
    [J]. NDT & E INTERNATIONAL, 2022, 130
  • [8] Nondestructive Testing of Multilayer HTS Tapes by Using Eddy Current Thermography
    Dirahoui, Walid
    Menana, Hocine
    Hinaje, Melika
    [J]. IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2022, 32 (08)
  • [9] An Effective Method for Submarine Buried Pipeline Detection via Multi-Sensor Data Fusion
    Guan, Minglei
    Cheng, Yaxin
    Li, Qingquan
    Wang, Chisheng
    Fang, Xu
    Yu, Jianwei
    [J]. IEEE ACCESS, 2019, 7 : 125300 - 125309
  • [10] Detection of corrosion under insulation on aerospace structures via pulsed eddy current thermography
    Hernandez, Johnathan
    Fouliard, Quentin
    Vo, Khanh
    Raghavan, Seetha
    [J]. AEROSPACE SCIENCE AND TECHNOLOGY, 2022, 121