Prediction Models for Modified Pavement Mixtures by Reclaimed Asphalt in Terms of Durability Indicators

The asphaltic pavement is often subjected to various types of distress during the service life caused by excessive load, construction practices, deficient materials, and environmental conditions. A lot of pavements may occur due to moisture damage because of the presence of water on the pavement...

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Main Authors: Al Helo Karim H. Ibrahim, Qasim Zaynab I., Kadhim Zahraa A.
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:E3S Web of Conferences
Subjects:
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/64/e3sconf_icgee2023_03026.pdf
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author Al Helo Karim H. Ibrahim
Qasim Zaynab I.
Kadhim Zahraa A.
author_facet Al Helo Karim H. Ibrahim
Qasim Zaynab I.
Kadhim Zahraa A.
author_sort Al Helo Karim H. Ibrahim
collection DOAJ
description The asphaltic pavement is often subjected to various types of distress during the service life caused by excessive load, construction practices, deficient materials, and environmental conditions. A lot of pavements may occur due to moisture damage because of the presence of water on the pavement's surface, which affects the pavement's service life. It needs periodic maintenance, which requires materials and money. So many countries take the economic side by reusing old, damaged pavement and mixed with new materials in addition to its sustainable benefits, the old material called reclaimed asphalt pavement (RAP). This study examines the effect of adding RAP on durability indicators, including tensile strength ratio, retained Marshall Stability, and durability Index, in addition to prediction statistical models for reclaimed asphalt pavement mixtures in terms of durability indicators. To achieve the goals of this study, the asphalt mixtures are designed according to the superpave system; the samples are compacted by a superpave gyratory compactor with a diameter of 100 mm and prepared with (6%, 13%, 19%, and 25%) RAP content with three conditioning periods of (1, 3, and 7) days and two aging periods (short term aging for loose mixture at 135˚C for 4 hours long term aging for 120 hours at 85˚C), and two testing temperature of 25˚C and 60˚C. The results indicated that stability increased as the RAP content increased compared to the control mix, and indirect tensile strength increased with RAP addition for both aging periods. Also, results illustrated that the tensile strength ratio for specimens tested at 25˚C is higher than that tested at 60˚C temperature.
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spelling doaj.art-7c8ad1a0b2d048849949a50c53ca0ef12023-09-26T10:12:00ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014270302610.1051/e3sconf/202342703026e3sconf_icgee2023_03026Prediction Models for Modified Pavement Mixtures by Reclaimed Asphalt in Terms of Durability IndicatorsAl Helo Karim H. Ibrahim0Qasim Zaynab I.1Kadhim Zahraa A.2Civil Engineering Department, University of TechnologyCivil Engineering Department, University of TechnologyCivil Engineering, Construction Department, Ministry of JusticeThe asphaltic pavement is often subjected to various types of distress during the service life caused by excessive load, construction practices, deficient materials, and environmental conditions. A lot of pavements may occur due to moisture damage because of the presence of water on the pavement's surface, which affects the pavement's service life. It needs periodic maintenance, which requires materials and money. So many countries take the economic side by reusing old, damaged pavement and mixed with new materials in addition to its sustainable benefits, the old material called reclaimed asphalt pavement (RAP). This study examines the effect of adding RAP on durability indicators, including tensile strength ratio, retained Marshall Stability, and durability Index, in addition to prediction statistical models for reclaimed asphalt pavement mixtures in terms of durability indicators. To achieve the goals of this study, the asphalt mixtures are designed according to the superpave system; the samples are compacted by a superpave gyratory compactor with a diameter of 100 mm and prepared with (6%, 13%, 19%, and 25%) RAP content with three conditioning periods of (1, 3, and 7) days and two aging periods (short term aging for loose mixture at 135˚C for 4 hours long term aging for 120 hours at 85˚C), and two testing temperature of 25˚C and 60˚C. The results indicated that stability increased as the RAP content increased compared to the control mix, and indirect tensile strength increased with RAP addition for both aging periods. Also, results illustrated that the tensile strength ratio for specimens tested at 25˚C is higher than that tested at 60˚C temperature.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/64/e3sconf_icgee2023_03026.pdfreclaimed asphalthot asphalt mixturesdurabilitymoisture damagestatistical modeling
spellingShingle Al Helo Karim H. Ibrahim
Qasim Zaynab I.
Kadhim Zahraa A.
Prediction Models for Modified Pavement Mixtures by Reclaimed Asphalt in Terms of Durability Indicators
E3S Web of Conferences
reclaimed asphalt
hot asphalt mixtures
durability
moisture damage
statistical modeling
title Prediction Models for Modified Pavement Mixtures by Reclaimed Asphalt in Terms of Durability Indicators
title_full Prediction Models for Modified Pavement Mixtures by Reclaimed Asphalt in Terms of Durability Indicators
title_fullStr Prediction Models for Modified Pavement Mixtures by Reclaimed Asphalt in Terms of Durability Indicators
title_full_unstemmed Prediction Models for Modified Pavement Mixtures by Reclaimed Asphalt in Terms of Durability Indicators
title_short Prediction Models for Modified Pavement Mixtures by Reclaimed Asphalt in Terms of Durability Indicators
title_sort prediction models for modified pavement mixtures by reclaimed asphalt in terms of durability indicators
topic reclaimed asphalt
hot asphalt mixtures
durability
moisture damage
statistical modeling
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/64/e3sconf_icgee2023_03026.pdf
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AT qasimzaynabi predictionmodelsformodifiedpavementmixturesbyreclaimedasphaltintermsofdurabilityindicators
AT kadhimzahraaa predictionmodelsformodifiedpavementmixturesbyreclaimedasphaltintermsofdurabilityindicators