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Quantitative non-destructive evaluation of wall thinning defect in double-layer pipe of nuclear power plants using pulsed ECT method
Affiliation:1. State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi’an Jiaotong University, Xi’an 710049, China;2. Institute of Fluid Science, Tohoku University, Katahira 2-1-1, Aoba-ku, Sendai 980-8577, Japan;1. Department of Pathogen Biology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China;2. Technical Center of Shandong Entry-Exit Inspection and Quarantine Bureau, Qingdao 266002, China;3. Laboratory of Bioactive Molecule, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China;1. Department of Physics, Queen׳s University, Kingston, Ont, Canada, K7L 3N6;2. Department of Physics, Royal Military College of Canada, Kingston, Ont, Canada, K7K 7B4;1. School of Mechanical, Electronic and Industrial Engineering, University of Electronic Science and Technology of China, No.2006, Xiyuan Road, Hi-Tech Industrial Development Zone, Chengdu, Sichuan 611731, PR China;2. Shanghai Spaceflight Precision Machinery Research Institute, Shanghai, PR China;1. School of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, PR China;2. Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, China University of Mining and Technology, Xuzhou 221116, PR China;3. School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, PR China;4. School of Electrical and Electronic Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK
Abstract:In this paper, an inversion algorithm for three-dimensional profile reconstruction of wall thinning defect in a double-layer region of a typical coolant pipe of nuclear power plants from pulsed eddy current testing (PECT) signals has been proposed and experimentally validated, based on a fast simulator of PECT signals and a deterministic optimization strategy. First, the fast simulator developed by authors for PECT signal prediction based on a Fourier-series scheme in addition with interpolation and database approaches is briefly described as a base for the inversion of PECT signals. Then, the formula of the conjugate graduate inversion algorithm for sizing three-dimensional wall thinning from PECT signals is deduced in detail based on that for crack like reconstruction using single frequency ECT signals. The three-dimensional local wall thinning is modeled as a group of planar defects with different length and depth which are reconstructed from two-dimensional scanning PECT signals through inverse analysis. Through conducting PECT experiment for double-layer coolant tube test-piece and reconstructing wall thinning profile from the measured signals, the efficiency and the robustness of the proposed inversion algorithm are demonstrated.
Keywords:Local wall thinning  Pulsed eddy current testing  Quantitative NDT  Inverse analysis  Experimental signals
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