Presenting a Statistical Model of Fatigue Prediction for the Effect of Loading Frequency on Reflective Cracks Propagation on Asphalt Layers Improved by Geosynthetics

So far, several methods have been proposed for delaying the reflective cracks in pavements. Despite substantial money spent annually on these types of maintenance methods to control reflection cracking in road pavement, none of them has successfully prevented such damage and only delayed crack propa...

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Main Authors: Saeid Asadi, Gholamali Shafabakhsh
Format: Article
Language:English
Published: Semnan University 2024-02-01
Series:Journal of Rehabilitation in Civil Engineering
Subjects:
Online Access:https://civiljournal.semnan.ac.ir/article_7195_62f03f06e399c358af36cde9c03bae03.pdf
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author Saeid Asadi
Gholamali Shafabakhsh
author_facet Saeid Asadi
Gholamali Shafabakhsh
author_sort Saeid Asadi
collection DOAJ
description So far, several methods have been proposed for delaying the reflective cracks in pavements. Despite substantial money spent annually on these types of maintenance methods to control reflection cracking in road pavement, none of them has successfully prevented such damage and only delayed crack propagation in improved asphalt overlays. However, some of these methods have been more effective in preventing the initiation of reflective cracks and reducing the severity of their damage in restored pavements. One of the best methods to deal with this issue is using geosynthetic products. The present study investigates the performance of two different types of geocomposites in the reinforcement of asphalt overlays in delaying reflective cracks compared to control samples. To this end, laboratory and statistical studies were performed at different temperatures and loading frequencies. The results showed that using type-I geocomposite will be most effective in increasing fatigue life. On the other hand, among the mentioned factors, the temperature rise will have the most negative effect on the fatigue performance of geocomposite layers in asphalt overlays. Finally, a high-accuracy statistical model of fatigue life based on temperature, frequency, and geocomposite type is presented (i.e., R² and Adjusted R² of 0.987 and 0.981, respectively).
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series Journal of Rehabilitation in Civil Engineering
spelling doaj-art-78f9e07926df4b2c84523023a1f634f82025-01-21T20:47:24ZengSemnan UniversityJournal of Rehabilitation in Civil Engineering2345-44152345-44232024-02-01121183310.22075/jrce.2022.27607.16707195Presenting a Statistical Model of Fatigue Prediction for the Effect of Loading Frequency on Reflective Cracks Propagation on Asphalt Layers Improved by GeosyntheticsSaeid Asadi0Gholamali Shafabakhsh1Ph.D. Candidate, Faculty of Civil Engineering, Semnan University, Semnan, IranProfessor, Faculty of Civil Engineering, Semnan University, Semnan, IranSo far, several methods have been proposed for delaying the reflective cracks in pavements. Despite substantial money spent annually on these types of maintenance methods to control reflection cracking in road pavement, none of them has successfully prevented such damage and only delayed crack propagation in improved asphalt overlays. However, some of these methods have been more effective in preventing the initiation of reflective cracks and reducing the severity of their damage in restored pavements. One of the best methods to deal with this issue is using geosynthetic products. The present study investigates the performance of two different types of geocomposites in the reinforcement of asphalt overlays in delaying reflective cracks compared to control samples. To this end, laboratory and statistical studies were performed at different temperatures and loading frequencies. The results showed that using type-I geocomposite will be most effective in increasing fatigue life. On the other hand, among the mentioned factors, the temperature rise will have the most negative effect on the fatigue performance of geocomposite layers in asphalt overlays. Finally, a high-accuracy statistical model of fatigue life based on temperature, frequency, and geocomposite type is presented (i.e., R² and Adjusted R² of 0.987 and 0.981, respectively).https://civiljournal.semnan.ac.ir/article_7195_62f03f06e399c358af36cde9c03bae03.pdfreflection crackinggeocompositetemperatureloading frequencyfatiguestatistical analysis
spellingShingle Saeid Asadi
Gholamali Shafabakhsh
Presenting a Statistical Model of Fatigue Prediction for the Effect of Loading Frequency on Reflective Cracks Propagation on Asphalt Layers Improved by Geosynthetics
Journal of Rehabilitation in Civil Engineering
reflection cracking
geocomposite
temperature
loading frequency
fatigue
statistical analysis
title Presenting a Statistical Model of Fatigue Prediction for the Effect of Loading Frequency on Reflective Cracks Propagation on Asphalt Layers Improved by Geosynthetics
title_full Presenting a Statistical Model of Fatigue Prediction for the Effect of Loading Frequency on Reflective Cracks Propagation on Asphalt Layers Improved by Geosynthetics
title_fullStr Presenting a Statistical Model of Fatigue Prediction for the Effect of Loading Frequency on Reflective Cracks Propagation on Asphalt Layers Improved by Geosynthetics
title_full_unstemmed Presenting a Statistical Model of Fatigue Prediction for the Effect of Loading Frequency on Reflective Cracks Propagation on Asphalt Layers Improved by Geosynthetics
title_short Presenting a Statistical Model of Fatigue Prediction for the Effect of Loading Frequency on Reflective Cracks Propagation on Asphalt Layers Improved by Geosynthetics
title_sort presenting a statistical model of fatigue prediction for the effect of loading frequency on reflective cracks propagation on asphalt layers improved by geosynthetics
topic reflection cracking
geocomposite
temperature
loading frequency
fatigue
statistical analysis
url https://civiljournal.semnan.ac.ir/article_7195_62f03f06e399c358af36cde9c03bae03.pdf
work_keys_str_mv AT saeidasadi presentingastatisticalmodeloffatiguepredictionfortheeffectofloadingfrequencyonreflectivecrackspropagationonasphaltlayersimprovedbygeosynthetics
AT gholamalishafabakhsh presentingastatisticalmodeloffatiguepredictionfortheeffectofloadingfrequencyonreflectivecrackspropagationonasphaltlayersimprovedbygeosynthetics