Tunnel Lining Crack Detection Method Based on Polarization 3D Imaging

Non-contact and non-destructive polarization 3D imaging uses a passive, single-frame array image to calculate 3D information, making it possible to obtain high-precision 3D information about tunnel cracks, and offering outstanding technical advantages. Based on the introduction of the principle of c...

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Main Authors: Yue Zhang, Xuemin Zhang, Yun Su, Xuan Li, Shiwei Ma, Su Zhang, Weihe Ren, Kang Li
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Photonics
Subjects:
Online Access:https://www.mdpi.com/2304-6732/10/10/1085
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author Yue Zhang
Xuemin Zhang
Yun Su
Xuan Li
Shiwei Ma
Su Zhang
Weihe Ren
Kang Li
author_facet Yue Zhang
Xuemin Zhang
Yun Su
Xuan Li
Shiwei Ma
Su Zhang
Weihe Ren
Kang Li
author_sort Yue Zhang
collection DOAJ
description Non-contact and non-destructive polarization 3D imaging uses a passive, single-frame array image to calculate 3D information, making it possible to obtain high-precision 3D information about tunnel cracks, and offering outstanding technical advantages. Based on the introduction of the principle of crack detection with polarization 3D imaging, a tunnel lining crack detection plan was developed and a detection equipment was designed. The method and process of polarization 3D imaging for lining crack detection are described in detail. A model of the impact of the tunnel environment on 3D detection and a method for obtaining absolute information have been established to obtain high-precision 3D information about cracks. In a real tunnel environment, tests were conducted to detect wide cracks, narrow cracks, and artificial cracks. The crack detection accuracy with respect to the crack width was 0.2–0.3 mm, and with respect to crack length was 0.2–0.3 mm. At the same time, crack depth information could be obtained. The present research results can provide technical support for the application of polarization 3D imaging in tunnel crack detection.
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spelling doaj.art-2b785d85fe424861a6befe3295c76f6b2023-11-19T17:46:48ZengMDPI AGPhotonics2304-67322023-09-011010108510.3390/photonics10101085Tunnel Lining Crack Detection Method Based on Polarization 3D ImagingYue Zhang0Xuemin Zhang1Yun Su2Xuan Li3Shiwei Ma4Su Zhang5Weihe Ren6Kang Li7Beijing Institute of Space Mechanics & Electricity, Beijing 100094, ChinaBeijing Institute of Space Mechanics & Electricity, Beijing 100094, ChinaBeijing Institute of Space Mechanics & Electricity, Beijing 100094, ChinaSchool of Optoelectronic Engineering, Xidian University, Xi’an 710071, ChinaTieke Chengdu Testing Technology Co., Ltd., Chengdu 610021, ChinaSchool of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130012, ChinaBeijing Institute of Space Mechanics & Electricity, Beijing 100094, ChinaBeijing Institute of Space Mechanics & Electricity, Beijing 100094, ChinaNon-contact and non-destructive polarization 3D imaging uses a passive, single-frame array image to calculate 3D information, making it possible to obtain high-precision 3D information about tunnel cracks, and offering outstanding technical advantages. Based on the introduction of the principle of crack detection with polarization 3D imaging, a tunnel lining crack detection plan was developed and a detection equipment was designed. The method and process of polarization 3D imaging for lining crack detection are described in detail. A model of the impact of the tunnel environment on 3D detection and a method for obtaining absolute information have been established to obtain high-precision 3D information about cracks. In a real tunnel environment, tests were conducted to detect wide cracks, narrow cracks, and artificial cracks. The crack detection accuracy with respect to the crack width was 0.2–0.3 mm, and with respect to crack length was 0.2–0.3 mm. At the same time, crack depth information could be obtained. The present research results can provide technical support for the application of polarization 3D imaging in tunnel crack detection.https://www.mdpi.com/2304-6732/10/10/1085polarization 3D imagingtunnel lining crackcrack detectionpolarization camera
spellingShingle Yue Zhang
Xuemin Zhang
Yun Su
Xuan Li
Shiwei Ma
Su Zhang
Weihe Ren
Kang Li
Tunnel Lining Crack Detection Method Based on Polarization 3D Imaging
Photonics
polarization 3D imaging
tunnel lining crack
crack detection
polarization camera
title Tunnel Lining Crack Detection Method Based on Polarization 3D Imaging
title_full Tunnel Lining Crack Detection Method Based on Polarization 3D Imaging
title_fullStr Tunnel Lining Crack Detection Method Based on Polarization 3D Imaging
title_full_unstemmed Tunnel Lining Crack Detection Method Based on Polarization 3D Imaging
title_short Tunnel Lining Crack Detection Method Based on Polarization 3D Imaging
title_sort tunnel lining crack detection method based on polarization 3d imaging
topic polarization 3D imaging
tunnel lining crack
crack detection
polarization camera
url https://www.mdpi.com/2304-6732/10/10/1085
work_keys_str_mv AT yuezhang tunnelliningcrackdetectionmethodbasedonpolarization3dimaging
AT xueminzhang tunnelliningcrackdetectionmethodbasedonpolarization3dimaging
AT yunsu tunnelliningcrackdetectionmethodbasedonpolarization3dimaging
AT xuanli tunnelliningcrackdetectionmethodbasedonpolarization3dimaging
AT shiweima tunnelliningcrackdetectionmethodbasedonpolarization3dimaging
AT suzhang tunnelliningcrackdetectionmethodbasedonpolarization3dimaging
AT weiheren tunnelliningcrackdetectionmethodbasedonpolarization3dimaging
AT kangli tunnelliningcrackdetectionmethodbasedonpolarization3dimaging