Damage detection and quantitative analysis of shield tunnel structure
The damage of lining widely exists in metro shield tunnels, which may weaken the structural performance, affect the durability of the structure and even cause accidents. Investigation and evaluation of the lining damage is an essential work to reduce the risk grade during the service life of the structure. A rapid detection and analysis system has been applied in the shield tunnel of Metro Line 2 in Changsha, China for surveying the damage of lining. The system can obtain high definition image information of tunnel surface through multiple array CCD cameras at high speed, and use intelligent analysis method to identify and quantify the damage. The types, morphological characteristics and distribution characteristics of structural damages were analyzed based on the automatic detection results. The causes and the factors influencing the structural damages have been concluded. Finally, the existing problems and development prospects of metro tunnel structure management are discussed from the point of view of construction and maintenance.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/09265805
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Supplemental Notes:
- © 2018 Elsevier B.V. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Huang, Zhen
- Fu, Helin
- Chen, Wei
- Zhang, Jiabing
- Huang, Hongwei
- Publication Date: 2018-10
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References;
- Pagination: pp 303-316
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Serial:
- Automation in Construction
- Volume: 94
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0926-5805
- Serial URL: http://www.sciencedirect.com/science/journal/09265805
Subject/Index Terms
- TRT Terms: Detection and identification; Loss and damage; Maintenance; Quantitative analysis; Shields (Tunnels); Tunnels
- Geographic Terms: Changsha (China)
- Subject Areas: Bridges and other structures; Maintenance and Preservation; Railroads;
Filing Info
- Accession Number: 01755238
- Record Type: Publication
- Files: TRIS
- Created Date: Oct 21 2020 9:52AM