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المؤلفAhmad, Al-Tawalbeh
المؤلفSirin, Okan
المؤلفSadeq, Mohammed
المؤلفSebaaly, Haissam
المؤلفMasad, Eyad
تاريخ الإتاحة2024-03-26T09:55:59Z
تاريخ النشر2022-10-17
اسم المنشورCase Studies in Construction Materials
المعرّفhttp://dx.doi.org/10.1016/j.cscm.2022.e01580
الاقتباسAl-Tawalbeh, A., Sirin, O., Sadeq, M., Sebaaly, H., & Masad, E. (2022). Evaluation and calibration of dynamic modulus prediction models of asphalt mixtures for hot climates: Qatar as a case study. Case Studies in Construction Materials, 17, e01580.
معرّف المصادر الموحدhttps://www.sciencedirect.com/science/article/pii/S2214509522007124
معرّف المصادر الموحدhttp://hdl.handle.net/10576/53512
الملخصThe dynamic modulus (|E*|) of asphalt mixtures is one of the most important inputs in Mechanistic-Empirical (ME) pavement analysis and design. Several models have been developed to predict the dynamic modulus based on mixture volumetrics and material properties. This study aimed to calibrate and validate two commonly used models (i.e., Hirsch model and Alkhateeb model) for predicting the dynamic modulus of asphalt mixtures in Qatar. Based on the study outcomes, the Hirsch model was found to have a high prediction performance of asphalt mixture moduli before calibration with a coefficient of determination (R2) of 87.2 % between predicted and measured values. This R2 value improved slightly after calibration to 89.2 %, Alkhateeb model, on the other hand, had a coefficient of determination of 70.8 % before calibration, which also improved to 89.2 % after calibration. The moduli predicted by the Hirsch model before and after calibration were employed in this study to perform a mechanistic-empirical analysis of the performance of various typical pavement sections in Qatar. According to the findings, the percentage change in the predicted fatigue damage due to the use of the calibrated Hirsch model reached more than 50 % with an average value of 17.33 %, while the percent change in rutting reached 14 % with an average value of 3.65 %. These results highlight the importance of using locally calibrated models for the dynamic modulus in order to improve performance predictions.
راعي المشروعThis publication was jointly supported by Qatar University and Texas A&M University at Qatar, IRCC-2019-011 (International Research Collaboration Co-Fund). Qatar National Library funded the open-access publication of this article.
اللغةen
الناشرElsevier
الموضوعHirsch model
Alkhateeb model
Dynamic modulus
Mechanistic-Empirical Pavement Design
Qatar
العنوانEvaluation and calibration of dynamic modulus prediction models of asphalt mixtures for hot climates: Qatar as a case study
النوعArticle
رقم المجلد17
Open Access user License http://creativecommons.org/licenses/by/4.0/
ESSN2214-5095
dc.accessType Open Access


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