Integrated Predictive Model for Healing and Fatigue Endurance Limit for Asphalt Concrete

abstract: One of the main requirements of designing perpetual pavements is to determine the endurance limit of Hot Mix Asphalt (HMA). The purpose of this study was to validate the endurance limit for HMA using laboratory beam fatigue tests. A mathematical procedure was developed to determine the end...

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Other Authors: Souliman, Mena Ibrahim Ifram (Author)
Format: Doctoral Thesis
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/2286/R.I.14701
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spelling ndltd-asu.edu-item-147012018-06-22T03:02:42Z Integrated Predictive Model for Healing and Fatigue Endurance Limit for Asphalt Concrete abstract: One of the main requirements of designing perpetual pavements is to determine the endurance limit of Hot Mix Asphalt (HMA). The purpose of this study was to validate the endurance limit for HMA using laboratory beam fatigue tests. A mathematical procedure was developed to determine the endurance limit of HMA due to healing that occurs during the rest periods between loading cycles. Relating healing to endurance limit makes this procedure unique compared to previous research projects that investigated these concepts separately. An extensive laboratory testing program, including 468 beam tests, was conducted according to AASHTO T321-03 test procedure. Six factors that affect the fatigue response of HMA were evaluated: binder type, binder content, air voids, test temperature, rest period and applied strain. The endurance limit was determined when no accumulated damage occurred indicating complete healing. Based on the test results, a first generation predictive model was developed to relate stiffness ratio to material properties. A second generation stiffness ratio model was also developed by replacing four factors (binder type, binder content, air voids, and temperature) with the initial stiffness of the mixture, which is a basic material property. The model also accounts for the nonlinear effects of the rest period and the applied strain on the healing and endurance limit. A third generation model was then developed by incorporation the number of loading cycles at different locations along the fatigue degradation curve for each test in order to account for the nonlinearity between stiffness ratio and loading cycles. In addition to predicting endurance limit, the model has the ability to predict the number of cycles to failure at any rest period and stiffness combination. The model was used to predict fatigue relationship curves for tests with rest period and determining the K1, K2, and K3 fatigue cracking coefficients. The three generation models predicted close endurance limit values ranging from 22 to 204 micro strains. After developing the third generation stiffness ratio model, the predicted endurance limit values were integrated in the strain-Nf fatigue relationships as a step toward incorporating the endurance limit in the MEPDG software. The results of this study can be used to design perpetual pavements that can sustain a large number of loads if traffic volumes and vehicle weights are controlled. Dissertation/Thesis Souliman, Mena Ibrahim Ifram (Author) Mamlouk, Michael S (Advisor) Witczak, Matthew W (Advisor) Kaloush, Kamil E (Committee member) Arizona State University (Publisher) Civil engineering Endurance Limit Fatigue Healing Hot Mix Asphalt Rest Period eng 256 pages Ph.D. Civil and Environmental Engineering 2012 Doctoral Dissertation http://hdl.handle.net/2286/R.I.14701 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2012
collection NDLTD
language English
format Doctoral Thesis
sources NDLTD
topic Civil engineering
Endurance Limit
Fatigue
Healing
Hot Mix Asphalt
Rest Period
spellingShingle Civil engineering
Endurance Limit
Fatigue
Healing
Hot Mix Asphalt
Rest Period
Integrated Predictive Model for Healing and Fatigue Endurance Limit for Asphalt Concrete
description abstract: One of the main requirements of designing perpetual pavements is to determine the endurance limit of Hot Mix Asphalt (HMA). The purpose of this study was to validate the endurance limit for HMA using laboratory beam fatigue tests. A mathematical procedure was developed to determine the endurance limit of HMA due to healing that occurs during the rest periods between loading cycles. Relating healing to endurance limit makes this procedure unique compared to previous research projects that investigated these concepts separately. An extensive laboratory testing program, including 468 beam tests, was conducted according to AASHTO T321-03 test procedure. Six factors that affect the fatigue response of HMA were evaluated: binder type, binder content, air voids, test temperature, rest period and applied strain. The endurance limit was determined when no accumulated damage occurred indicating complete healing. Based on the test results, a first generation predictive model was developed to relate stiffness ratio to material properties. A second generation stiffness ratio model was also developed by replacing four factors (binder type, binder content, air voids, and temperature) with the initial stiffness of the mixture, which is a basic material property. The model also accounts for the nonlinear effects of the rest period and the applied strain on the healing and endurance limit. A third generation model was then developed by incorporation the number of loading cycles at different locations along the fatigue degradation curve for each test in order to account for the nonlinearity between stiffness ratio and loading cycles. In addition to predicting endurance limit, the model has the ability to predict the number of cycles to failure at any rest period and stiffness combination. The model was used to predict fatigue relationship curves for tests with rest period and determining the K1, K2, and K3 fatigue cracking coefficients. The three generation models predicted close endurance limit values ranging from 22 to 204 micro strains. After developing the third generation stiffness ratio model, the predicted endurance limit values were integrated in the strain-Nf fatigue relationships as a step toward incorporating the endurance limit in the MEPDG software. The results of this study can be used to design perpetual pavements that can sustain a large number of loads if traffic volumes and vehicle weights are controlled. === Dissertation/Thesis === Ph.D. Civil and Environmental Engineering 2012
author2 Souliman, Mena Ibrahim Ifram (Author)
author_facet Souliman, Mena Ibrahim Ifram (Author)
title Integrated Predictive Model for Healing and Fatigue Endurance Limit for Asphalt Concrete
title_short Integrated Predictive Model for Healing and Fatigue Endurance Limit for Asphalt Concrete
title_full Integrated Predictive Model for Healing and Fatigue Endurance Limit for Asphalt Concrete
title_fullStr Integrated Predictive Model for Healing and Fatigue Endurance Limit for Asphalt Concrete
title_full_unstemmed Integrated Predictive Model for Healing and Fatigue Endurance Limit for Asphalt Concrete
title_sort integrated predictive model for healing and fatigue endurance limit for asphalt concrete
publishDate 2012
url http://hdl.handle.net/2286/R.I.14701
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