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Machine learning study of the mechanical properties of concretes containing waste foundry sand

Construction & building materials, 2020-05, Vol.243, p.118152, Article 118152

2020

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Application of soft computing methods for predicting the elastic modulus of recycled aggregate concrete

Journal of cleaner production, 2018-03, Vol.176, p.1163-1176

2018

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Prediction of the compressive strength of normal and high-performance concretes using M5P model tree algorithm

Construction & building materials, 2017-07, Vol.142, p.199-207

2017

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Automatic regression methods for formulation of elastic modulus of recycled aggregate concrete

Applied soft computing, 2018-03, Vol.64, p.377-400

2018

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Methods for measuring pH in concrete: A review

Construction & building materials, 2016-02, Vol.105, p.176-188

2016

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Application of rejuvenators to improve the rheological and mechanical properties of asphalt binders and mixtures: A review

Journal of cleaner production, 2019-09, Vol.231, p.171-182

Behnood, Ali

2019

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Predicting modulus elasticity of recycled aggregate concrete using M5′ model tree algorithm

Construction & building materials, 2015-09, Vol.94, p.137-147

2015

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A review of the warm mix asphalt (WMA) technologies: Effects on thermo-mechanical and rheological properties

Journal of cleaner production, 2020-06, Vol.259, p.120817, Article 120817

Behnood, Ali

2020

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Determinants of the infection rate of the COVID-19 in the U.S. using ANFIS and virus optimization algorithm (VOA)

Chaos, solitons and fractals, 2020-10, Vol.139, p.110051-110051, Article 110051

2020

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Artificial Intelligence to Model the Performance of Concrete Mixtures and Elements: A Review

Archives of computational methods in engineering, 2022-06, Vol.29 (4), p.1941-1964

2022

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Laboratory studies to investigate the properties of CIR mixes containing steel slag as a substitute for virgin aggregates

Construction & building materials, 2012, Vol.26 (1), p.475-480

2012

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Evaluation of the splitting tensile strength in plain and steel fiber-reinforced concrete based on the compressive strength

Construction & building materials, 2015-11, Vol.98, p.519-529

2015

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Effects of silica fume addition and water to cement ratio on the properties of high-strength concrete after exposure to high temperatures

Cement & concrete composites, 2008-02, Vol.30 (2), p.106-112

2008

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Utilization of copper slag in cement and concrete

Resources, conservation and recycling, 2008-08, Vol.52 (10), p.1115-1120

2008

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Rheological, physicochemical, and microstructural properties of asphalt binder modified by fumed silica nanoparticles

Scientific reports, 2021-06, Vol.11 (1), p.11455-11455, Article 11455

2021

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Soil and clay stabilization with calcium- and non-calcium-based additives: A state-of-the-art review of challenges, approaches and techniques

Transportation Geotechnics, 2018-12, Vol.17, p.14-32

Behnood, Ali

2018

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Mechanical properties of high-strength concrete incorporating copper slag as coarse aggregate

Construction & building materials, 2009-06, Vol.23 (6), p.2183-2188

2009

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The effects of drug and alcohol consumption on driver injury severities in single-vehicle crashes

Traffic injury prevention, 2017-07, Vol.18 (5), p.456-462

2017

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Review of Corrosion Inhibitors in Reinforced Concrete: Conventional and Green Materials

Buildings (Basel), 2023-04, Vol.13 (5), p.1170

2023

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Rheological properties of asphalt binders modified with styrene-butadiene-styrene (SBS), ground tire rubber (GTR), or polyphosphoric acid (PPA)

Construction & building materials, 2017-10, Vol.151, p.464-478

2017

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Predicting the compressive strength of silica fume concrete using hybrid artificial neural network with multi-objective grey wolves

Journal of cleaner production, 2018-11, Vol.202, p.54-64

2018

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Determinants of bicyclist injury severities in bicycle-vehicle crashes: A random parameters approach with heterogeneity in means and variances

Analytic methods in accident research, 2017-12, Vol.16, p.35-47

2017

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Time-of-day variations and temporal instability of factors affecting injury severities in large-truck crashes

Analytic methods in accident research, 2019-09, Vol.23, p.100102, Article 100102

2019

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A machine learning study of the dynamic modulus of asphalt concretes: An application of M5P model tree algorithm

Construction & building materials, 2020-11, Vol.262, p.120544, Article 120544

2020

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Latent class analysis of the effects of age, gender, and alcohol consumption on driver-injury severities

Analytic methods in accident research, , Vol.3-4, p.56-91

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Machine learning study of the mechanical properties of concretes containing waste foundry sand

Application of soft computing methods for predicting the elastic modulus of recycled aggregate concrete

Prediction of the compressive strength of normal and high-performance concretes using M5P model tree algorithm

Automatic regression methods for formulation of elastic modulus of recycled aggregate concrete

Methods for measuring pH in concrete: A review

Application of rejuvenators to improve the rheological and mechanical properties of asphalt binders and mixtures: A review

Predicting modulus elasticity of recycled aggregate concrete using M5′ model tree algorithm

A review of the warm mix asphalt (WMA) technologies: Effects on thermo-mechanical and rheological properties

Determinants of the infection rate of the COVID-19 in the U.S. using ANFIS and virus optimization algorithm (VOA)

Artificial Intelligence to Model the Performance of Concrete Mixtures and Elements: A Review

Laboratory studies to investigate the properties of CIR mixes containing steel slag as a substitute for virgin aggregates

Evaluation of the splitting tensile strength in plain and steel fiber-reinforced concrete based on the compressive strength

Effects of silica fume addition and water to cement ratio on the properties of high-strength concrete after exposure to high temperatures

Utilization of copper slag in cement and concrete

Rheological, physicochemical, and microstructural properties of asphalt binder modified by fumed silica nanoparticles

Soil and clay stabilization with calcium- and non-calcium-based additives: A state-of-the-art review of challenges, approaches and techniques

Mechanical properties of high-strength concrete incorporating copper slag as coarse aggregate

The effects of drug and alcohol consumption on driver injury severities in single-vehicle crashes

Review of Corrosion Inhibitors in Reinforced Concrete: Conventional and Green Materials

Rheological properties of asphalt binders modified with styrene-butadiene-styrene (SBS), ground tire rubber (GTR), or polyphosphoric acid (PPA)

Predicting the compressive strength of silica fume concrete using hybrid artificial neural network with multi-objective grey wolves

Determinants of bicyclist injury severities in bicycle-vehicle crashes: A random parameters approach with heterogeneity in means and variances

Time-of-day variations and temporal instability of factors affecting injury severities in large-truck crashes

A machine learning study of the dynamic modulus of asphalt concretes: An application of M5P model tree algorithm

Latent class analysis of the effects of age, gender, and alcohol consumption on driver-injury severities

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