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Articles

Computer-aided procedure for determination of asphalt content in asphalt mixture using discrete element method

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Pages 765-774 | Received 10 May 2015, Accepted 23 May 2015, Published online: 08 Jul 2015

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Mert Atakan & Kürşat Yıldız. (2023) Prediction of Marshall design parameters of asphalt mixtures via machine learning algorithms based on literature data. Road Materials and Pavement Design 0:0, pages 1-20.
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Jian Liu, Fangyu Liu, Chuanfeng Zheng, Daodao Zhou & Linbing Wang. (2022) Optimizing asphalt mix design through predicting effective asphalt content and absorbed asphalt content using machine learning. Construction and Building Materials 325, pages 126607.
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Ying LiLinbing Wang. (2020) Computer-Aided Procedure for Analysis of Effect of Gradation and Compaction Temperature in Asphalt Mix Design by Using DEM. Journal of Transportation Engineering, Part B: Pavements 146:2, pages 04020010.
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Yinning ZhangXudong WangYing LiLinbing WangRichard L. Boudreau. (2017) Determination of Mechanical Properties for Unstabilized Drainage Layer and Implementation in Mechanistic–Empirical Pavement Design Guide. Journal of Materials in Civil Engineering 29:2.
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Jize Mao, Lei Sun, Jianfu Lv & Yiqiu Tan. (2016) Piezoelectric and dielectric behavior of 0-3 asphalt-based composites with carbon black. Ceramics International 42:14, pages 16132-16137.
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Yufeng LiuWenjuan SunHarikrishnan NairD. Stephen LaneLinbing Wang. (2016) Quantification of Aggregate Morphologic Characteristics as Related to Mechanical Properties of Asphalt Concrete with Improved FTI System. Journal of Materials in Civil Engineering 28:8.
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Chao Xing, Bo Liu, Zhiqi Sun, Yiqiu Tan, Xueyan Liu & Changhong Zhou. (2022) Stress Transmission of Skeleton Filling System of Asphalt Mixture Based on Dem. SSRN Electronic Journal.
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