Image-Based Framework for Concrete Surface Crack Monitoring and Quantification

In the engineering community, nondestructive imaging has been widely used for damage identification by capturing anomalies on the surface or inside of structural elements. In this paper, we focus on one of the most common damage types observed in civil engineering, namely, concrete surface cracks. T...

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Main Authors: ZhiQiang Chen, Tara C. Hutchinson
Format: Article
Language:English
Published: Wiley 2010-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2010/215295
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author ZhiQiang Chen
Tara C. Hutchinson
author_facet ZhiQiang Chen
Tara C. Hutchinson
author_sort ZhiQiang Chen
collection DOAJ
description In the engineering community, nondestructive imaging has been widely used for damage identification by capturing anomalies on the surface or inside of structural elements. In this paper, we focus on one of the most common damage types observed in civil engineering, namely, concrete surface cracks. To identify this type of damage, we propose an image-based framework, whereby optical cameras provide the source images. The framework involves several advanced image processing methods, including: (i) the determination of damage occurrence using time-series images, (ii) the localization of damage at each image frame, and (iii) the geometric quantification of damage. Challenges that may arise when images are obtained in the laboratory or field environment are addressed. Two application examples are provided to demonstrate the use and effectiveness of the proposed approach.
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institution Kabale University
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publishDate 2010-01-01
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spelling doaj-art-d92308c39b064a8ba20cb17070e8c8ba2025-08-20T03:24:15ZengWileyAdvances in Civil Engineering1687-80861687-80942010-01-01201010.1155/2010/215295215295Image-Based Framework for Concrete Surface Crack Monitoring and QuantificationZhiQiang Chen0Tara C. Hutchinson1Department of Structural Engineering, University of California, San Diego, CA 92093, USADepartment of Structural Engineering, University of California, San Diego, CA 92093, USAIn the engineering community, nondestructive imaging has been widely used for damage identification by capturing anomalies on the surface or inside of structural elements. In this paper, we focus on one of the most common damage types observed in civil engineering, namely, concrete surface cracks. To identify this type of damage, we propose an image-based framework, whereby optical cameras provide the source images. The framework involves several advanced image processing methods, including: (i) the determination of damage occurrence using time-series images, (ii) the localization of damage at each image frame, and (iii) the geometric quantification of damage. Challenges that may arise when images are obtained in the laboratory or field environment are addressed. Two application examples are provided to demonstrate the use and effectiveness of the proposed approach.http://dx.doi.org/10.1155/2010/215295
spellingShingle ZhiQiang Chen
Tara C. Hutchinson
Image-Based Framework for Concrete Surface Crack Monitoring and Quantification
Advances in Civil Engineering
title Image-Based Framework for Concrete Surface Crack Monitoring and Quantification
title_full Image-Based Framework for Concrete Surface Crack Monitoring and Quantification
title_fullStr Image-Based Framework for Concrete Surface Crack Monitoring and Quantification
title_full_unstemmed Image-Based Framework for Concrete Surface Crack Monitoring and Quantification
title_short Image-Based Framework for Concrete Surface Crack Monitoring and Quantification
title_sort image based framework for concrete surface crack monitoring and quantification
url http://dx.doi.org/10.1155/2010/215295
work_keys_str_mv AT zhiqiangchen imagebasedframeworkforconcretesurfacecrackmonitoringandquantification
AT tarachutchinson imagebasedframeworkforconcretesurfacecrackmonitoringandquantification