M
Mohammad Taghipoor
Researcher at Tarbiat Modares University
Publications - 8
Citations - 259
Mohammad Taghipoor is an academic researcher from Tarbiat Modares University. The author has contributed to research in topics: Asphalt & Asphalt concrete. The author has an hindex of 5, co-authored 8 publications receiving 140 citations. Previous affiliations of Mohammad Taghipoor include University of Gilan.
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Laboratory investigation of hot mix asphalt containing waste materials
TL;DR: In this article, the effects of waste materials as filler on the performance of hot mix asphalt (HMA) mixtures were investigated and the optimum asphalt binder content was determined for each mixture.
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A state of the art of semi-flexible pavements: Introduction, design, and performance
TL;DR: Semi-flexible pavement (SFP) as discussed by the authors is a new pavement technology consisting of open-graded asphalt concrete with a high air void content filled by injecting special grouting materials.
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Laboratory evaluation of treated recycled concrete aggregate in asphalt mixtures
TL;DR: In this article, a two-stage treatment was applied on coarse RCA materials in order to improve their properties, which consisted of first soaking RCAs in Hydrochloric Acid (HCl), and then impregnating the treated RCAs into Calcium Metasilicate (CM).
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Evaluating the effect of additives on improving asphalt mixtures fatigue behavior
TL;DR: In this paper, the effect of using different additives in previous researches on fatigue parameters of asphalt mix was analyzed and the results of this research indicate positive effect of these additives on improving fatigue behavior.
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Predicting the impact of temperature and stress on the glasphalt mixtures’ rutting behavior
Abstract: In recent years the use of additives in asphalt mixtures has increased to strengthen them against dynamic loads considerably. New researches have shown that the optimal use of waste glass in hot mix asphalt mixtures increases its dynamic characteristics dramatically. The purpose of this study is to predict the impact of temperature and stress on the glasphalt mixture rutting behavior. In order to achieve the objectives of this study, ABAQUS software has been used. To achieve this goal, the results of repeated load axial test were used to model the rutting behavior of asphalt mixtures in wheel track test. The results of this study show that the presented models in this study are well able to predict the rutting of glasphalt mixtures at different temperatures and stresses. Also the results of models show that the waste glass powder is able to improve the performance of asphalt mixtures against permanent deformation significantly.