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International Journal of Pavement Engineering Volume 20, 2019 - Issue 9
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Original Articles

Development of a nonlinear rutting model for asphalt concrete based on Weibull parameters

A. S. M. Asifur RahmanDepartment of Civil Engineering, The University of New Mexico, Albuquerque, NM, USACorrespondence[email protected]
,
Matias M. Mendez LarrainRoca Engineering, Inc., Oklahoma City, OK, USAORCID Iconhttp://orcid.org/0000-0002-7547-2139
ORCID Icon &
Rafiqul A. TarefderDepartment of Civil Engineering, The University of New Mexico, Albuquerque, NM, USA
Pages 1055-1064 | Received 02 Jun 2017, Accepted 31 Aug 2017, Published online: 05 Oct 2017

Citations (19)

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Zifeng Zhao, Ling Xu, Zhenyu Du & Feipeng Xiao. (2022) Moisture resistance of stone matrix asphalt at lab simulated high temperature and continuous rainfall condition. International Journal of Pavement Engineering 0:0, pages 1-12.
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Articles from other publishers (18)

Nicola Baldo, Fabio Rondinella, Fabiola Daneluz, Pavla Vacková, Jan Valentin, Marcin D. Gajewski & Jan B. Król. (2023) Stiffness Moduli Modelling and Prediction in Four-Point Bending of Asphalt Mixtures: A Machine Learning-Based Framework. CivilEng 4:4, pages 1083-1097.
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Huu Tran, Dilan RobertPrageeth GunarathnaSujeeva Setunge. (2023) Stochastic Prediction of Road Network Degradation Based on Field Monitoring Data. Journal of Construction Engineering and Management 149:10.
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Fadi Althoey, Muhammad Naveed Akhter, Zohaib Sattar Nagra, Hamad Hassan Awan, Fayez Alanazi, Mohsin Ali Khan, Muhammad Faisal Javed, Sayed M. Eldin & Yasin Onuralp Özkılıç. (2023) Prediction models for marshall mix parameters using bio-inspired genetic programming and deep machine learning approaches: A comparative study. Case Studies in Construction Materials 18, pages e01774.
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Ling Xu, Samir Magar, Zifeng Zhao, Qian Xiang & Feipeng Xiao. (2023) Rheological and anti-moisture characteristics of rubberized reclaimed asphalt pavement with interfacial bond behavior. Journal of Cleaner Production 391, pages 136172.
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Changyun Shi, Huanan Yu, Guoping Qian, Xi Li, Xuan Zhu, Ding Yao & Chao Zhang. (2023) Research on the characteristics of asphalt mixture gradation curve based on Weibull distribution. Construction and Building Materials 366, pages 130151.
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Fabio Rondinella, Fabiola Daneluz, Pavla Vacková, Jan Valentin & Nicola Baldo. (2023) Volumetric Properties and Stiffness Modulus of Asphalt Concrete Mixtures Made with Selected Quarry Fillers: Experimental Investigation and Machine Learning Prediction. Materials 16:3, pages 1017.
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Muhammad Aniq Gul, Md Kamrul Islam, Hamad Hassan Awan, Muhammad Sohail, Abdulrahman Fahad Al Fuhaid, Md Arifuzzaman & Hisham Jahangir Qureshi. (2022) Prediction of Marshall Stability and Marshall Flow of Asphalt Pavements Using Supervised Machine Learning Algorithms. Symmetry 14:11, pages 2324.
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Zifeng Zhao, Ling Xu, Xin Guan, Xianrui Li & Feipeng Xiao. (2022) Rutting and strain characteristics of rubberized asphalt pavement based on accelerated pavement tester. Journal of Cleaner Production 376, pages 134219.
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Jiangmiao Yu, Yanlin Chen, Xiaopeng Wei, Niya Dong & Huayang Yu. (2022) Performance Evaluation of Ultra-Thin Wearing Course with Different Polymer Modified Asphalt Binders. Polymers 14:16, pages 3235.
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Md Mehedi Hasan, Md Amanul Hasan & Rafiqul A. Tarefder. (2022) New Model for Predicting Rutting Performance of Superpave Asphalt Mixes. Transportation Research Record: Journal of the Transportation Research Board 2676:8, pages 174-185.
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Matteo Miani, Matteo Dunnhofer, Fabio Rondinella, Evangelos Manthos, Jan Valentin, Christian Micheloni & Nicola Baldo. (2021) Bituminous Mixtures Experimental Data Modeling Using a Hyperparameters-Optimized Machine Learning Approach. Applied Sciences 11:24, pages 11710.
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Minda Ren, Lin Cong & Hongren Gong. (2021) Accelerated stochastic damage modeling of the long-term moisture effect on hot-mix asphalt. Construction and Building Materials 295, pages 123692.
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Yulong Zhao, Ying Gao, Ke Zhang, Yao Zhang & Mingce Yu. (2021) Establishment of Rutting Model of Wheel-Tracking Test for Real-Time Prediction of Rut Depth of Asphalt Layers. Advances in Civil Engineering 2021, pages 1-16.
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Tao Li, Sheliang Wang, Fan Xu, Binbin Li, Bin Dang, Meng Zhan & Zhiqi Wang. (2021) Study on Carbonation Damage Constitutive Curve and Microscopic Damage Mechanism of Tailing Recycled Concrete. Journal of Renewable Materials 9:8, pages 1413-1432.
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Fatima Ashfaq, Imran Hafeez & Sabahat Hussan. (2020) Developing Non- Linear Relationship Among Factors Affecting the Rutting Susceptibility of Asphalt Mixtures Using Two Parameter Weibull Distribution. IOP Conference Series: Materials Science and Engineering 899:1, pages 012017.
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Md Mehedi Hasan & Rafiqul A. Tarefder. (2020) Development of rutting specifications and possible replacement of tensile strength ratio by Hamburg wheel tracking device test. International Journal of Pavement Research and Technology 13:4, pages 376-382.
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Nicola Baldo, Evangelos Manthos & Matteo Miani. (2019) Stiffness Modulus and Marshall Parameters of Hot Mix Asphalts: Laboratory Data Modeling by Artificial Neural Networks Characterized by Cross-Validation. Applied Sciences 9:17, pages 3502.
Crossref
Nicola Baldo, Evangelos Manthos & Marco Pasetto. (2018) Analysis of the Mechanical Behaviour of Asphalt Concretes Using Artificial Neural Networks. Advances in Civil Engineering 2018, pages 1-17.
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