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International Journal of Pavement Engineering Volume 12, 2011 - Issue 5
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Original Articles

Viscosity prediction of CRM binders using artificial neural network approach

Feipeng Xiao Department of Civil Engineering, Clemson University, Clemson, SC, 29634, USACorrespondence[email protected]
,
Bradley J. Putman Department of Civil Engineering, Clemson University, Clemson, SC, 29634, USA
&
Serji N. Amirkhanian Department of Civil Engineering, Clemson University, Clemson, SC, 29634, USA
Pages 485-495 | Received 12 May 2008, Accepted 30 Nov 2009, Published online: 25 Jan 2010

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Tengjiang Yu, Haitao Zhang, Guangyuan Wu & Dan Chen. (2022) Determination and application of seasonal distribution coefficients of traffic volume in pavement design. Australian Journal of Civil Engineering 20:2, pages 233-243.
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Haitao Zhang & Tengjiang Yu. (2018) Prediction of subgrade elastic moduli in different seasons based on BP neural network technology. Road Materials and Pavement Design 19:2, pages 271-288.
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Haitao Zhang, Hongwei Liu & Zhende Zhang. (2016) Study on the mechanism of the repeated asphalt ageing and recycling based on the macro-performance. Road Materials and Pavement Design 17:4, pages 920-932.
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Haitao Zhang, Xinxin Fu, Haiyang Jiang, Xiu Liu & Lihua Lv. (2015) The relationships between asphalt ageing in lab and field based on the neural network. Road Materials and Pavement Design 16:2, pages 493-504.
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Articles from other publishers (14)

Xiang Zhao, Fan Li, Xiao Zhang, Junsheng Cao & Xiaolong Wang. (2023) Rheological properties and viscosity reduction mechanism of aromatic/naphthenic oil pre-swelling crumb rubber modified asphalt. Construction and Building Materials 398, pages 132545.
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Peixin XuZhe “Alan” Zeng, Yu MiaoDerun ZhangChaoliang Fu. (2023) Field Aging Characterization of Asphalt Pavement Based on the Artificial Neural Networks and Gray Relational Analysis. Journal of Materials in Civil Engineering 35:7.
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Abdulrahman Hamid, Hassan Baaj & Mohab El-Hakim. (2022) Predicting the Recovery and Nonrecoverable Compliance Behaviour of Asphalt Binders Using Artificial Neural Networks. Processes 10:12, pages 2633.
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M. A. Dalhat & Sami A. Osman. (2022) Artificial Neural Network Modeling of Theoretical Maximum Specific Gravity for Asphalt Concrete Mix. International Journal of Pavement Research and Technology.
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Michele Lanotte. (2022) Soft Computing Approach for Predicting the Effects of Waste Rubber–Bitumen Interaction Phenomena on the Viscosity of Rubberized Bitumen. Sustainability 14:21, pages 13798.
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Talal H. Fadhil, Taher M. Ahmed & Yousif I. Al Mashhadany. (2021) Application of Artificial Neural Networks as Design Tool for Hot Mix Asphalt. International Journal of Pavement Research and Technology 15:2, pages 269-283.
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Madhu Lisha Pattanaik, Sanjit Kumar, Rajan Choudhary, Mayank Agarwal & Bimlesh Kumar. (2022) Predicting the abrasion loss of open-graded friction course mixes with EAF steel slag aggregates using machine learning algorithms. Construction and Building Materials 321, pages 126408.
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Gamal M. Mabrouk, Omar S. Elbagalati, Samer Dessouky, Luis Fuentes & Lubinda F. Walubita. (2022) Using ANN modeling for pavement layer moduli backcalculation as a function of traffic speed deflections. Construction and Building Materials 315, pages 125736.
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Zifeng Zhao, Jiayu WangXiangdao HouQian Xiang & Feipeng Xiao. (2021) Viscosity Prediction of Rubberized Asphalt–Rejuvenated Recycled Asphalt Pavement Binders Using Artificial Neural Network Approach. Journal of Materials in Civil Engineering 33:5.
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Jun LiuKezhen YanJenny LiuXiaowen Zhao. (2018) Using Artificial Neural Networks to Predict the Dynamic Modulus of Asphalt Mixtures Containing Recycled Asphalt Shingles. Journal of Materials in Civil Engineering 30:4.
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Madhu Lisha PattanaikRajan ChoudharyBimlesh Kumar. (2017) Evaluation of Frictional Pavement Resistance as a Function of Aggregate Physical Properties. Journal of Transportation Engineering, Part B: Pavements 143:2.
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Dharamveer SinghMusharraf ZamanSesh Commuri. (2013) Artificial Neural Network Modeling for Dynamic Modulus of Hot Mix Asphalt Using Aggregate Shape Properties. Journal of Materials in Civil Engineering 25:1, pages 54-62.
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Feipeng Xiao, Serji N. Amirkhanian, C. Hsein Juang, Shaowei Hu & Junan Shen. (2012) Model developments of long-term aged asphalt binders. Construction and Building Materials 37, pages 248-256.
Crossref
Miguel Abambres & Adelino Ferreira. (2017) Application of ANN in Pavement Engineering: State-of-Art. SSRN Electronic Journal.
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