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Nader Solatifar
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Data-driven estimation models of asphalt mixtures dynamic modulus using ANN, GP and combinatorial GMDH approaches
D Rezazadeh Eidgahee, H Jahangir, N Solatifar, P Fakharian, ...
Neural Computing and Applications, 1-26, 2022
592022
Development of dynamic modulus master curves of in-service asphalt layers using MEPDG models
N Solatifar, A Kavussi, M Abbasghorbani, SW Katicha
Road Materials and Pavement Design, 2017
262017
Prediction of depth temperature of asphalt layers in hot climate area
N Solatifar, M Abbasghorbani, A Kavussi, H Sivilevičius
Journal of Civil Engineering and management 24 (7), 516-525, 2018
212018
Development of an artificial neural network model for asphalt pavement deterioration using LTPP data
N Solatifar, SM Lavasani
Journal of Rehabilitation in Civil Engineering 8 (1), 121-132, 2020
192020
Application of FWD data in developing dynamic modulus master curves of in-service asphalt layers
N Solatifar, A Kavussi, M Abbasghorbani, H Sivilevičius
Journal of Civil Engineering and Management 23 (5), 661-671, 2017
122017
Dynamic modulus predictive models for in-service asphalt layers in hot climate areas
N Solatifar, A Kavussi, M Abbasghorbani
Journal of Materials in Civil Engineering 33 (2), 04020438, 2021
102021
Mechanistic-Empirical Analysis of Asphalt Dynamic Modulus for Rehabilitation Projects in Iran
A Kavussi, N Solatifar, M Abbasghorbani
Journal of Rehabilitation in Civil Engineering 4 (1), 18-29, 2016
82016
Modeling the viscosity behavior of crumb rubber–modified binder using response surface methodology
R Azadedel, N Solatifar
Journal of Materials in Civil Engineering 34 (8), 04022168, 2022
62022
Optimization of rutting parameter for crumb rubber modified binder using response surface methodology (RSM)
N Solatifar, R Azadedel, M Khalili, M Rahbarnia
Journal of Transportation Research 16 (1), 245-258, 2019
52019
Optimized preparation and high-temperature performance of composite-modified asphalt binder with CR and WEO
S Mohammadi, N Solatifar
Journal of Materials in Civil Engineering 35 (2), 04022395, 2023
42023
Performance evaluation of dynamic modulus predictive models for asphalt mixtures
N Solatifar
Journal of Rehabilitation in Civil Engineering 8 (3), 87-97, 2020
42020
Analysis of conventional dynamic modulus predictive models of asphalt mixtures
N Solatifar
Amirkabir Journal of Civil Engineering. doi: http://dx. doi. org/10.22060/ceej 6, 2018
42018
Modeling rutting behavior of crumb rubber modified binders using design of experiments
R Azadedel, N Solatifar, M Rahbarnia
Proceedings of the 9th International Conference on Maintenance and …, 2020
22020
Development of a non-linear regression-based model for prediction of depth temperature of asphalt layers using LTPP data–case study: Ohio, USA
M Sedighian-Fard, N Solatifar
Quarterly Journal of Transportation Engineering 13 (3), 1600-1587, 2022
12022
Analysis of regression-based models for prediction of depth temperature of asphalt layers–A review
M Sedighian-Fard, N Solatifar
Amirkabir Journal of Civil Engineering 53 (9), 3985-4006, 2021
12021
Calibration of Regression Models Based on Viscoelastic Principles for Prediction of Dynamic Modulus of In-Service Asphalt Layers
N Solatifar, M Abbasghorbani
Quarterly Journal of Transportation Engineering 12 (4), 933-948, 2021
12021
Using Waste Cigarette Butt Fibers as Asphalt Binder Stabilizer in Stone Matrix Asphalt: Mechanical and Environmental Characterization
E Ahmadi Dehaghi, SA Saed, SA Tahami, N Solatifar, M Taghipoor
Journal of Materials in Civil Engineering 36 (7), 04024157, 2024
2024
Regression Predictive Models for Depth Temperature of Asphalt Layers in Iran
M Sedighian-Fard, N Solatifar
2023
Calibration of regression-based models for prediction of temperature profile of asphalt layers using LTPP data
M Sedighian-Fard, N Solatifar, H Sivilevičius
Journal of Civil Engineering and Management 29 (4), 329–341-329–341, 2023
2023
Evaluation of Different Regression-Based Models to Predict Depth Temperature of Asphalt Layers Using Field Experiments in Iran
M Sedighian-Fard, N Solatifar
Quarterly Journal of Transportation Engineering 14 (1), 2183-2198, 2022
2022
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