Ill-posedness of reconstruction of stress corrosion cracking and a regularization method using multifrequency eddy current signals

被引:1
作者
Wang, Li [1 ]
机构
[1] Xian Univ Posts & Telecommun, Coll Sci, Xian 710121, Peoples R China
关键词
RESISTANCE; DEFECT;
D O I
10.1063/5.0052897
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Stress corrosion cracking (SCC) widely occurs in the key structures of large-scale mechanical systems and may cause catastrophic accidents without evident macroscopic deformation. A sufficiently accurate quantitative evaluation of SCC is important to guarantee the safety and efficient operation of large mechanical systems. However, the reconstruction accuracy of SCC shape parameters using eddy current testing (ECT) signals remains a problem, given the complex microstructure of cracks and the properties of the ECT inverse problem. In this study, a two-dimensional numerical model of crack with conductivity distribution is used to calculate the ECT signals due to SCC. The relation between crack parameters and ECT signals is investigated through simulation and experiment. Results show that the ill-posedness of SCC shape reconstruction is mainly manifested in the nonuniqueness of the solution of crack shape parameters. Therefore, a regularization method based on the features of multifrequency ECT signals is proposed to solve ill-posedness by adding prior information to the solution space of the optimization problem. The reconstruction results of the simulated and measured ECT signals from the conductive crack models verify that the proposed strategy can effectively improve the precision of SCC shape reconstruction.
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页数:7
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共 20 条
  • [1] Review of advances in quantitative eddy current nondestructive evaluation
    Auld, BA
    Moulder, JC
    [J]. JOURNAL OF NONDESTRUCTIVE EVALUATION, 1999, 18 (01) : 3 - 36
  • [2] Assessment of local conductivity distribution in stress corrosion crack region using direct current potential drop method
    Cai, Wenlu
    Xie, Shejuan
    Jomdecha, Cherdpong
    Wang, Xiaojuan
    Pei, Cuixiang
    Li, Yong
    Chen, Zhenmao
    Yusa, Noritaka
    [J]. CORROSION SCIENCE, 2017, 123 : 197 - 208
  • [3] A nondestructive strategy for the distinction of natural fatigue and stress corrosion cracks based on signals from eddy current testing
    Chen, Zhenmao
    Janousek, Ladislav
    Yusa, Noritaka
    Miya, Kenzo
    [J]. JOURNAL OF PRESSURE VESSEL TECHNOLOGY-TRANSACTIONS OF THE ASME, 2007, 129 (04): : 719 - 728
  • [4] ECT inversion using a knowledge-based forward solver
    Chen Z.
    Miya K.
    [J]. Journal of Nondestructive Evaluation, 1998, 17 (3) : 167 - 175
  • [5] Crack depth estimation of non-magnetic material by convolutional neural network analysis of eddy current testing signal
    Demachi, Kazuyuki
    Hori, Tomoyuki
    Perrin, Stephen
    [J]. JOURNAL OF NUCLEAR SCIENCE AND TECHNOLOGY, 2020, 57 (04) : 401 - 407
  • [6] Huang Taihui, 2010, Journal of Test and Measurement Technology, V24, P58, DOI 10.3969/j.issn.1671-7449.2010.01.011
  • [7] Diagnosis of real cracks from eddy current testing signals using parallel computation
    Janousek, Ladislav
    Rebican, Mihai
    Smetana, Milan
    Duca, Anton
    [J]. NONDESTRUCTIVE TESTING AND EVALUATION, 2017, 32 (04) : 435 - 443
  • [8] A numerical study on eddy current signal characteristics of imitative stress corrosion cracks
    Jomdecha, Cherdpong
    Cai, Wenlu
    Xie, Shejuan
    Chen, Zhenmao
    Li, Peng
    [J]. INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, 2017, 55 (02) : 257 - 269
  • [9] A Modified Particle Swarm Optimization Algorithm for Global Optimizations of Inverse Problems
    Khan, Shafi Ullah
    Yang, Shiyou
    Wang, Luyu
    Liu, Lei
    [J]. IEEE TRANSACTIONS ON MAGNETICS, 2016, 52 (03)
  • [10] Shape recovery of natural crack using evolutionary programming related to eddy current testing
    Kojima, F
    Kubota, N
    Kobayashi, F
    Takagi, T
    [J]. INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, 2001, 15 (1-4) : 243 - 247