考虑速度条件下基于MFL的铁路无损检测能力仿真与实验研究

IF 2.1 3区 工程技术 Q2 ENGINEERING, CIVIL Smart Structures and Systems Pub Date : 2021-06-01 DOI:10.12989/SSS.2021.27.6.943
Ju-Won Kim, Jooyoung Park, D. Kang, S. Park
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引用次数: 0

摘要

本文使用与钢结构兼容的漏磁(MFL)方法来分析铁路表面缺陷引起的泄漏信号的定量变化。使用二维有限元法(2D-FEM)进行了数值模拟,以分析来自铁路缺陷的MFL信号。然后进行了一项实验,以研究基于MFL的无损评估(NDE)的能力。我们还通过分析磁滞现象,重点研究了MFL信号的速度效应。在模拟和实验中,通过选择缺陷深度和检测速度作为参数来确定泄漏信号的定量变化。所获得的MFL信号显示出同时受检查速度和缺陷深度影响的变化。在检查列车的运行速度范围内,基于MFL的铁路损伤检测被最终证实是足够可行的。
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Simulation and experimental study on MFL-based damage detection capability considering velocity condition for railroad NDE
This paper used a magnetic flux leakage (MFL) method compatible with steel structures to analyze quantitative change in a leakage signal due to defects on the surface of a railroad. A numerical simulation using a two-dimensional finite element method (2D-FEM) was used to analyze MFL signals from defects on the railroad. An experiment was then carried out to investigate the capability of the MFL-based non-destructive evaluation (NDE). We also focused on the velocity effect of the MFL signals by analyzing the magnetic hysteresis phenomenon. The quantitative change in leakage signals was determined by selecting depth of the defect and inspection velocity as parameters in a simulation and in an experiment. The MFL signals obtained showed variations that were simultaneously affected by inspection velocity and defect depth. MFL-based damage detection in a railroad is conclusively confirmed to be sufficiently feasible within the range of operational speeds of an inspection train.
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来源期刊
Smart Structures and Systems
Smart Structures and Systems 工程技术-工程:机械
CiteScore
6.50
自引率
8.60%
发文量
0
审稿时长
9 months
期刊介绍: An International Journal of Mechatronics, Sensors, Monitoring, Control, Diagnosis, and Management airns at providing a major publication channel for researchers in the general area of smart structures and systems. Typical subjects considered by the journal include: Sensors/Actuators(Materials/devices/ informatics/networking) Structural Health Monitoring and Control Diagnosis/Prognosis Life Cycle Engineering(planning/design/ maintenance/renewal) and related areas.
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