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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| Format: | Article |
| Language: | English |
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Wiley
2010-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2010/215295 |
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| _version_ | 1849473180845998080 |
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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. |
| format | Article |
| id | doaj-art-d92308c39b064a8ba20cb17070e8c8ba |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| 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 |