A Feasibility Analysis of the Infrared Thermography Technique in Surface Crack Detection for High-Speed Rail Slab Track

The surface crack on track slab is the main cause of the service reliability deterioration of the high-speed rail (HSR) slab track. To realize the rapid and accurate detection of these cracks, infrared thermography (IRT) can be regarded as an effective way in HSR application. However, the performanc...

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Veröffentlicht in:Mathematical problems in engineering 2023-01, Vol.2023 (1)
Hauptverfasser: Ye, Xuan-Yu, Luo, Yan-Yun, Li, Zai-Wei, Liu, Xiao-Zhou
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Liu, Xiao-Zhou
description The surface crack on track slab is the main cause of the service reliability deterioration of the high-speed rail (HSR) slab track. To realize the rapid and accurate detection of these cracks, infrared thermography (IRT) can be regarded as an effective way in HSR application. However, the performance of IRT can be significantly affected by the testing environment. This study aims to analyze the feasibility of IRT in crack detection for HSR slab track by investigating the key factors affecting the detection accuracy. Firstly, the principle of IRT in detecting surface crack of track slab is given, and the key factors influencing the detection performance are discussed. Considering the difficulty in conducting field tests for slab tracks, this study establishes a finite element (FE) model to simulate the temperature field of track slab with surface cracks. This model is verified by using the field measurement results of track slab temperature. With the FE model, the effects of detection time, ambient temperature, and sensitivity of the thermal imager on the detection accuracy are revealed. The results show that, during the window time for track maintenance (0:00 am–3:00 am), the difference of temperature between crack areas and noncrack areas gradually increases with time, so it is recommended to conduct detection during 2:00–3:00 am; under the condition of no auxiliary heat source, the crack detection is suggested to be arranged in summer with a high incidence of crack; the minimum limit of thermal sensitivity of thermal imager is below 108mk@25°C. The findings in this research can offer guidance for the implementation of IRT-based crack detection for HSR slab crack.
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To realize the rapid and accurate detection of these cracks, infrared thermography (IRT) can be regarded as an effective way in HSR application. However, the performance of IRT can be significantly affected by the testing environment. This study aims to analyze the feasibility of IRT in crack detection for HSR slab track by investigating the key factors affecting the detection accuracy. Firstly, the principle of IRT in detecting surface crack of track slab is given, and the key factors influencing the detection performance are discussed. Considering the difficulty in conducting field tests for slab tracks, this study establishes a finite element (FE) model to simulate the temperature field of track slab with surface cracks. This model is verified by using the field measurement results of track slab temperature. With the FE model, the effects of detection time, ambient temperature, and sensitivity of the thermal imager on the detection accuracy are revealed. The results show that, during the window time for track maintenance (0:00 am–3:00 am), the difference of temperature between crack areas and noncrack areas gradually increases with time, so it is recommended to conduct detection during 2:00–3:00 am; under the condition of no auxiliary heat source, the crack detection is suggested to be arranged in summer with a high incidence of crack; the minimum limit of thermal sensitivity of thermal imager is below 108mk@25°C. The findings in this research can offer guidance for the implementation of IRT-based crack detection for HSR slab crack.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2023/8846945</identifier><language>eng</language><publisher>New York: Hindawi</publisher><subject>Accuracy ; Ambient temperature ; Concrete ; Concrete slabs ; Feasibility studies ; Field tests ; Finite element method ; Flaw detection ; Heat conductivity ; Heat transfer ; High speed rail ; Infrared analysis ; Infrared imaging ; Infrared radiation ; Infrared tracking ; Nondestructive testing ; Railway engineering ; Sensitivity ; Surface cracks ; Temperature distribution ; Thermography ; Vision systems</subject><ispartof>Mathematical problems in engineering, 2023-01, Vol.2023 (1)</ispartof><rights>Copyright © 2023 Xuan-Yu Ye et al.</rights><rights>Copyright © 2023 Xuan-Yu Ye et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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The results show that, during the window time for track maintenance (0:00 am–3:00 am), the difference of temperature between crack areas and noncrack areas gradually increases with time, so it is recommended to conduct detection during 2:00–3:00 am; under the condition of no auxiliary heat source, the crack detection is suggested to be arranged in summer with a high incidence of crack; the minimum limit of thermal sensitivity of thermal imager is below 108mk@25°C. 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To realize the rapid and accurate detection of these cracks, infrared thermography (IRT) can be regarded as an effective way in HSR application. However, the performance of IRT can be significantly affected by the testing environment. This study aims to analyze the feasibility of IRT in crack detection for HSR slab track by investigating the key factors affecting the detection accuracy. Firstly, the principle of IRT in detecting surface crack of track slab is given, and the key factors influencing the detection performance are discussed. Considering the difficulty in conducting field tests for slab tracks, this study establishes a finite element (FE) model to simulate the temperature field of track slab with surface cracks. This model is verified by using the field measurement results of track slab temperature. With the FE model, the effects of detection time, ambient temperature, and sensitivity of the thermal imager on the detection accuracy are revealed. The results show that, during the window time for track maintenance (0:00 am–3:00 am), the difference of temperature between crack areas and noncrack areas gradually increases with time, so it is recommended to conduct detection during 2:00–3:00 am; under the condition of no auxiliary heat source, the crack detection is suggested to be arranged in summer with a high incidence of crack; the minimum limit of thermal sensitivity of thermal imager is below 108mk@25°C. The findings in this research can offer guidance for the implementation of IRT-based crack detection for HSR slab crack.</abstract><cop>New York</cop><pub>Hindawi</pub><doi>10.1155/2023/8846945</doi><orcidid>https://orcid.org/0000-0001-7876-7875</orcidid><orcidid>https://orcid.org/0000-0002-1360-7202</orcidid><oa>free_for_read</oa></addata></record>
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subjects Accuracy
Ambient temperature
Concrete
Concrete slabs
Feasibility studies
Field tests
Finite element method
Flaw detection
Heat conductivity
Heat transfer
High speed rail
Infrared analysis
Infrared imaging
Infrared radiation
Infrared tracking
Nondestructive testing
Railway engineering
Sensitivity
Surface cracks
Temperature distribution
Thermography
Vision systems
title A Feasibility Analysis of the Infrared Thermography Technique in Surface Crack Detection for High-Speed Rail Slab Track
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