scholarly journals Identification of Crack Profiles using Database and Greedy Search Inverse Analysis Arising in Eddy Current Testing

2010 ◽  
Vol 23 (4) ◽  
pp. 74-82
Author(s):  
Thanh-Duong Nguyen ◽  
Fumio Kojima
Keyword(s):  
Eddy Current ◽  
Inverse Analysis ◽  
Eddy Current Testing ◽  
Greedy Search ◽  
Current Testing

Reconstruction of cracks in a carbon fiber-reinforced polymer laminate plate from signals of eddy current testing

2020 ◽  
Vol 54 (24) ◽  
pp. 3527-3536
Author(s):  
Yali Du ◽  
Xudong Li ◽  
Shejuan Xie ◽  
Shiyou Yang ◽  
Zhenmao Chen
Keyword(s):  
Carbon Fiber ◽  
Eddy Current ◽  
Inverse Analysis ◽  
Eddy Current Testing ◽  
Fiber Reinforced Polymer ◽  
Carbon Fiber Reinforced Polymer ◽  
Fiber Reinforced ◽  
Current Testing ◽  
Reinforced Polymer ◽  
Cfrp Plate

This article aims to study the quantitative eddy current testing of structures of carbon fiber reinforced polymer (CFRP) material; numerical schemes for forward and inverse analysis of eddy current testing signals are proposed and validated for eddy current testing of the CFRP material. At first, an efficient forward solver based on the database approach is updated to treat anisotropic eddy current problem for efficient simulation of the eddy current testing signals due to crack in CFRP material, and an inversion scheme based on the conjugate gradient method is developed using the updated fast forward solver for sizing defect in a CFRP plate. Second, a hybrid inverse analysis scheme is proposed and implemented to improve the sizing accuracy of crack in a CFRP plate using eddy current testing signals of high frequency. Third, eddy current testing signals due to artificial cracks in a CFRP plate are measured and adopted to reconstruct the profile of the cracks. A good agreement between the true and the reconstructed defect sizes demonstrated the validity of both the fast forward solver and the new inversion scheme for sizing defects in the CFRP plate from eddy current testing signals.

Probabilistic evaluation of detection capability of eddy current testing to inspect pitting on a stainless steel clad using multiple signal features

2020 ◽  
Vol 64 (1-4) ◽  
pp. 47-55
Author(s):  
Takuma Tomizawa ◽  
Haicheng Song ◽  
Noritaka Yusa
Keyword(s):  
Stainless Steel ◽  
Eddy Current ◽  
Pressure Vessels ◽  
Eddy Current Testing ◽  
Probability Of Detection ◽  
Current Testing ◽  
Multiple Signal ◽  
Signal Features ◽  
Inner Surface ◽  
Drill Holes

This study proposes a probability of detection (POD) model to quantitatively evaluate the capability of eddy current testing to detect flaws on the inner surface of pressure vessels cladded by stainless steel and in the presence of high noise level. Welded plate samples with drill holes were prepared to simulate corrosion that typically appears on the inner surface of large-scale pressure vessels. The signals generated by the drill holes and the noise caused by the weld were examined using eddy current testing. A hit/miss-based POD model with multiple flaw parameters and multiple signal features was proposed to analyze the measured signals. It is shown that the proposed model is able to more reasonably characterize the detectability of eddy current signals compared to conventional models that consider a single signal feature.

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