DIC Technique to Investigate Crack Propagation in Grid-Reinforced Asphalt Specimens
Crack growth data are among the key parameters needed to characterize the materials used in asphalt concrete fatigue and fracture tests. The purpose of this study is to investigate the use of the digital image correlation (DIC) technique in monitoring the progression of damage and quantifying the length of cracks in asphalt concrete fatigue and fracture tests. To this end, cyclic interlayer shear tests and four-point bending notched beam fatigue tests were performed on double-layer fiberglass grid-reinforced asphalt concrete specimens. The tests were performed at 20°C and at frequencies of 5 and 10 Hz for the cyclic shear and bending beam fatigue tests, respectively. The full-field displacement and strain contours derived from DIC analysis of the specimens’ surface images proved to be powerful tools for monitoring the damage progression in the asphalt specimens under fatigue loading and for developing crack tip detection methods. Crack length measurement methods were developed based on DIC analysis displacement and strain results and were used successfully to determine interfacial crack lengths in the shear tests and vertical and interfacial crack lengths in the four-point bending notched beam fatigue tests.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/08991561
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Supplemental Notes:
- © 2017 American Society of Civil Engineers.
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Authors:
- Safavizadeh, Seyed Amirshayan
- Kim, Youngsoo Richard
- Publication Date: 2017-6
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 04017011
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Serial:
- Journal of Materials in Civil Engineering
- Volume: 29
- Issue Number: 6
- Publisher: American Society of Civil Engineers
- ISSN: 0899-1561
- EISSN: 1943-5533
- Serial URL: http://ascelibrary.org/journal/jmcee7
Subject/Index Terms
- TRT Terms: Asphalt concrete; Bending; Cracking; Fatigue tests; Fracture properties; Monitoring; Shear strength
- Uncontrolled Terms: Digital image correlation
- Subject Areas: Data and Information Technology; Highways; Maintenance and Preservation; Pavements;
Filing Info
- Accession Number: 01627842
- Record Type: Publication
- Files: TRIS, ASCE
- Created Date: Feb 28 2017 9:11AM