A
Ali Moniri
Researcher at Iran University of Science and Technology
Publications - 24
Citations - 777
Ali Moniri is an academic researcher from Iran University of Science and Technology. The author has contributed to research in topics: Asphalt & Fracture (geology). The author has an hindex of 15, co-authored 22 publications receiving 458 citations.
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Effectiveness of Linear Amplitude Sweep (LAS) asphalt binder test in predicting asphalt mixtures fatigue performance
TL;DR: In this article, Linear Amplitude Sweep (LAS) test was conducted on several asphalt binders modified by different percentages of gilsonite and Styrene-Butadiene-Styrene (SBS) polymer.
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Crack resistance of hot mix asphalt containing different percentages of reclaimed asphalt pavement and glass fiber
TL;DR: In this article, the authors investigated the impact of RAP material on the cracking behavior of asphalt mixtures using semi-circular bending (SCB) fracture tests at temperatures of −15, 0 and 15°C.
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Optimization of high-strength self-consolidating concrete mix design using an improved Taguchi optimization method
TL;DR: The proposed Taguchi optimization method was efficient in obtaining the optimal mixture design of the manufacturing process according to decision makers’ preferences and indicated a significant improvement in the total quality of concrete compared to the decision maker’s estimated mixture design.
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The effect of rejuvenators on the aging resistance of recycled asphalt mixtures
TL;DR: In this article, the aging performance of asphalt mixtures was studied by conducting resilient modulus, dynamic creep, indirect tensile fatigue and intermediate-temperature fracture tests on short and long term aged mixtures.
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Using the generalized maximum tangential stress criterion to predict mode II fracture of hot mix asphalt in terms of mode I results – A statistical analysis
TL;DR: In this article, the authors used the generalized maximum tangential stress (GMTS) theory to predict the Weibull distribution curves for statistical analyses of the test data and found that the GMTS criterion successfully predicts the WeIBull parameters of mode II results in terms of mode I fracture data.