Прати
Ali Behnood
Ali Behnood
Assistant Professor, University of Mississippi
Верификована је имејл адреса на olemiss.edu - Почетна страница
Наслов
Навело
Навело
Година
Morphology, rheology, and physical properties of polymer-modified asphalt binders
A Behnood, MM Gharehveran
European Polymer Journal 112, 766-791, 2019
6162019
Predicting the compressive strength of normal and High-Performance Concretes using ANN and ANFIS hybridized with Grey Wolf Optimizer
EM Golafshani, A Behnood, M Arashpour
Construction and Building Materials 232, 117266, 2020
4392020
Determinants of bicyclist injury severities in bicycle-vehicle crashes: A random parameters approach with heterogeneity in means and variances
A Behnood, F Mannering
Analytic methods in accident research 16, 35-47, 2017
4062017
Soil and clay stabilization with calcium-and non-calcium-based additives: A state-of-the-art review of challenges, approaches and techniques
A Behnood
Transportation Geotechnics 17, 14-32, 2018
3712018
Predicting the compressive strength of silica fume concrete using hybrid artificial neural network with multi-objective grey wolves
A Behnood, EM Golafshani
Journal of Cleaner Production 202, 54-64, 2018
3472018
Prediction of the compressive strength of normal and high-performance concretes using M5P model tree algorithm
A Behnood, V Behnood, MM Gharehveran, KE Alyamac
Construction and Building Materials 142, 199-207, 2017
3182017
Application of rejuvenators to improve the rheological and mechanical properties of asphalt binders and mixtures: A review
A Behnood
Journal of cleaner production 231, 171-182, 2019
3172019
The temporal stability of factors affecting driver-injury severities in single-vehicle crashes: Some empirical evidence
A Behnood, FL Mannering
Analytic methods in accident research 8, 7-32, 2015
2882015
An empirical assessment of the effects of economic recessions on pedestrian-injury crashes using mixed and latent-class models
A Behnood, FL Mannering
Analytic methods in accident research 12, 1-17, 2016
2692016
Time-of-day variations and temporal instability of factors affecting injury severities in large-truck crashes
A Behnood, F Mannering
Analytic methods in accident research 23, 100102, 2019
2622019
The effect of passengers on driver-injury severities in single-vehicle crashes: A random parameters heterogeneity-in-means approach
A Behnood, F Mannering
Analytic methods in accident research 14, 41-53, 2017
2592017
Rheological properties of asphalt binders modified with styrene-butadiene-styrene (SBS), ground tire rubber (GTR), or polyphosphoric acid (PPA)
A Behnood, J Olek
Construction and Building Materials 151, 464-478, 2017
2522017
Predicting modulus elasticity of recycled aggregate concrete using M5′ model tree algorithm
A Behnood, J Olek, MA Glinicki
Construction and Building Materials 94, 137-147, 2015
2422015
Latent class analysis of the effects of age, gender, and alcohol consumption on driver-injury severities
A Behnood, AM Roshandeh, FL Mannering
Analytic Methods in Accident Research 3, 56-91, 2014
2372014
Application of soft computing methods for predicting the elastic modulus of recycled aggregate concrete
EM Golafshani, A Behnood
Journal of cleaner production 176, 1163-1176, 2018
2062018
Evaluation of the splitting tensile strength in plain and steel fiber-reinforced concrete based on the compressive strength
A Behnood, KP Verian, MM Gharehveran
Construction and Building Materials 98, 519-529, 2015
1992015
A review of the warm mix asphalt (WMA) technologies: Effects on thermo-mechanical and rheological properties
A Behnood
Journal of Cleaner Production 259, 120817, 2020
1942020
Performance evaluation of asphalt mixtures containing warm mix asphalt (WMA) additives and reclaimed asphalt pavement (RAP)
A Yousefi, A Behnood, A Nowruzi, H Haghshenas
Construction and Building Materials 268, 121200, 2021
1932021
Effects of copper slag and recycled concrete aggregate on the properties of CIR mixes with bitumen emulsion, rice husk ash, Portland cement and fly ash
A Behnood, MM Gharehveran, FG Asl, M Ameri
Construction and Building Materials 96, 172-180, 2015
1772015
Machine learning study of the mechanical properties of concretes containing waste foundry sand
A Behnood, EM Golafshani
Construction and Building Materials 243, 118152, 2020
1752020
Систем тренутно не може да изврши ову радњу. Пробајте поново касније.
Чланци 1–20