Investigation of Crack Propagation and Healing of Asphalt Concrete Using Digital Image Correlation

The fatigue performance and healing ability of asphalt pavements are important for mixture design, rehabilitation, and maintenance of the roads. By analyzing these parameters in an asphalt mixture, it is possible to predict the crack formation and propagation in asphalt pavements and healing of thes...

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Main Authors: Navid Hasheminejad, Cedric Vuye, Alexandros Margaritis, Bart Ribbens, Geert Jacobs, Johan Blom, Wim Van den bergh, Joris Dirckx, Steve Vanlanduit
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/9/12/2459
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author Navid Hasheminejad
Cedric Vuye
Alexandros Margaritis
Bart Ribbens
Geert Jacobs
Johan Blom
Wim Van den bergh
Joris Dirckx
Steve Vanlanduit
author_facet Navid Hasheminejad
Cedric Vuye
Alexandros Margaritis
Bart Ribbens
Geert Jacobs
Johan Blom
Wim Van den bergh
Joris Dirckx
Steve Vanlanduit
author_sort Navid Hasheminejad
collection DOAJ
description The fatigue performance and healing ability of asphalt pavements are important for mixture design, rehabilitation, and maintenance of the roads. By analyzing these parameters in an asphalt mixture, it is possible to predict the crack formation and propagation in asphalt pavements and healing of these cracks during the rest periods. The healing effect in asphalt mixtures has been observed and verified by many researchers and different methods exist to evaluate this phenomenon. However, current methods are still inadequate to fully observe and quantify the healing phenomenon in asphalt mixtures. In this study, a digital image correlation (DIC) method is used to calculate the strain map on the surface of cylindrical asphalt specimens during the indirect tensile fatigue test. This strain map is used to detect the location of crack initiations and development of the microcracks during the experiments. Next, the specimens are unloaded and the temperature of the climate chamber is increased to 60 °C for 18 h to investigate the healing phenomenon on the surface of the specimens. It is observed that the strain reduces near the microcrack areas especially at the tip of the microcracks. Furthermore, using DIC it is possible to observe the healing rate and the minimum time required to heal the microcracks on the surface of the specimens.
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spelling doaj.art-bdf9eb62d3e249bea6f52623f7e4ddf92022-12-22T01:57:26ZengMDPI AGApplied Sciences2076-34172019-06-01912245910.3390/app9122459app9122459Investigation of Crack Propagation and Healing of Asphalt Concrete Using Digital Image CorrelationNavid Hasheminejad0Cedric Vuye1Alexandros Margaritis2Bart Ribbens3Geert Jacobs4Johan Blom5Wim Van den bergh6Joris Dirckx7Steve Vanlanduit8Faculty of Applied Engineering, University of Antwerp, 2020 Antwerp, BelgiumFaculty of Applied Engineering, University of Antwerp, 2020 Antwerp, BelgiumFaculty of Applied Engineering, University of Antwerp, 2020 Antwerp, BelgiumFaculty of Applied Engineering, University of Antwerp, 2020 Antwerp, BelgiumFaculty of Applied Engineering, University of Antwerp, 2020 Antwerp, BelgiumFaculty of Applied Engineering, University of Antwerp, 2020 Antwerp, BelgiumFaculty of Applied Engineering, University of Antwerp, 2020 Antwerp, BelgiumLaboratory of Biomedical Physics, University of Antwerp, 2020 Antwerp, BelgiumFaculty of Applied Engineering, University of Antwerp, 2020 Antwerp, BelgiumThe fatigue performance and healing ability of asphalt pavements are important for mixture design, rehabilitation, and maintenance of the roads. By analyzing these parameters in an asphalt mixture, it is possible to predict the crack formation and propagation in asphalt pavements and healing of these cracks during the rest periods. The healing effect in asphalt mixtures has been observed and verified by many researchers and different methods exist to evaluate this phenomenon. However, current methods are still inadequate to fully observe and quantify the healing phenomenon in asphalt mixtures. In this study, a digital image correlation (DIC) method is used to calculate the strain map on the surface of cylindrical asphalt specimens during the indirect tensile fatigue test. This strain map is used to detect the location of crack initiations and development of the microcracks during the experiments. Next, the specimens are unloaded and the temperature of the climate chamber is increased to 60 °C for 18 h to investigate the healing phenomenon on the surface of the specimens. It is observed that the strain reduces near the microcrack areas especially at the tip of the microcracks. Furthermore, using DIC it is possible to observe the healing rate and the minimum time required to heal the microcracks on the surface of the specimens.https://www.mdpi.com/2076-3417/9/12/2459digital image correlationasphaltcrack propagationhealing
spellingShingle Navid Hasheminejad
Cedric Vuye
Alexandros Margaritis
Bart Ribbens
Geert Jacobs
Johan Blom
Wim Van den bergh
Joris Dirckx
Steve Vanlanduit
Investigation of Crack Propagation and Healing of Asphalt Concrete Using Digital Image Correlation
Applied Sciences
digital image correlation
asphalt
crack propagation
healing
title Investigation of Crack Propagation and Healing of Asphalt Concrete Using Digital Image Correlation
title_full Investigation of Crack Propagation and Healing of Asphalt Concrete Using Digital Image Correlation
title_fullStr Investigation of Crack Propagation and Healing of Asphalt Concrete Using Digital Image Correlation
title_full_unstemmed Investigation of Crack Propagation and Healing of Asphalt Concrete Using Digital Image Correlation
title_short Investigation of Crack Propagation and Healing of Asphalt Concrete Using Digital Image Correlation
title_sort investigation of crack propagation and healing of asphalt concrete using digital image correlation
topic digital image correlation
asphalt
crack propagation
healing
url https://www.mdpi.com/2076-3417/9/12/2459
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AT bartribbens investigationofcrackpropagationandhealingofasphaltconcreteusingdigitalimagecorrelation
AT geertjacobs investigationofcrackpropagationandhealingofasphaltconcreteusingdigitalimagecorrelation
AT johanblom investigationofcrackpropagationandhealingofasphaltconcreteusingdigitalimagecorrelation
AT wimvandenbergh investigationofcrackpropagationandhealingofasphaltconcreteusingdigitalimagecorrelation
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