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Vol.9 No.2previous AASP17 (125-126-127-128-129-130-131-132-133-134-135-136-137-138-139-140-141-142) NT85

Academic Articles
Regular Paper Vol.9 No.2 (2017) p.104 - p.111
 

A Research on Numerical Simulation of ACFM Signals for Nondestructive Inspection of Buried Pipes in Nuclear Power Plants

 
Xudong Lia, Shejuan Xiea, Hongwei Yuana, Zhenmao Chena,* and Toshiyuki Takagib
 

a Shaanxi Engineering Research Center of NDT and Structure Integrity Evaluation, State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi’an Jiaotong University, 28 West Xianning Road, Xi’an, 710049, China.
b Innovative Energy Research Center, Institute of Fluid Science, Tohoku University, Aoba-ku, Sendai 980-8577, Japan

 
Abstract
Buried pipes in nuclear power plants (NPPs) service in complex environments. Failure in these pipes may result in severe consequences, so that non-destructive testing (NDT) of buried pipes in NPPs is of great importance. Alternating current field measurement (ACFM) method is a potential approach to detect failure in buried pipes due to its advantages such as non-contacting measurement and possible to be applied to long pipes. To evaluate the performance of ACFM for buried pipes, a numerical method and a simulation code are proposed and developed in this paper to calculate the current distribution in a conductive object due to both alternative conduction current injection as well as those induced by the alternative magnetic field due to non-steady current. Comparisons between the current density and related magnetic field results in an elongated plate with cracks obtained by using the developed numerical code and the ANSYS software demonstrated the validity of the proposed numerical method. By using the developed numerical code, dependences of ACFM signals on the lift-off, crack depth, and excitation frequency are simulated and analyzed aiming to improve the ACFM testing conditions for the buried pipe inspection.
 
Keywords
ACFM, buried pipes, nuclear power plants, numerical simulation, FEM-BEM code
 
Full Paper: PDF
Article Information
Article history:
Received 12 October 2016
Accepted 29 May 2017