Ali Behnood 
- (2024): A framework for low-carbon mix design of recycled aggregate concrete with supplementary cementitious materials using machine learning and optimization algorithms. Dans: Structures, v. 61 (mars 2024).
- (2024): Compressive strength prediction of sustainable concrete containing waste foundry sand using metaheuristic optimization‐based hybrid artificial neural network. Dans: Structural Concrete, v. 25, n. 2 (janvier 2024).
- (2023): Review of Corrosion Inhibitors in Reinforced Concrete: Conventional and Green Materials. Dans: Buildings, v. 13, n. 5 (27 avril 2023).
- (2022): Introduction of a novel evolutionary neural network for evaluating the compressive strength of concretes: A case of Rice Husk Ash concrete. Dans: Journal of Building Engineering, v. 61 (décembre 2022).
- (2022): Interfacial bond in concrete-to-concrete composites: A review. Dans: Construction and Building Materials, v. 359 (décembre 2022).
- (2022): Estimation of the compressive strength of green concretes containing rice husk ash: a comparison of different machine learning approaches. Dans: European Journal of Environmental and Civil Engineering, v. 27, n. 2 (avril 2022).
- (2021): Prediction of the resilient modulus of non-cohesive subgrade soils and unbound subbase materials using a hybrid support vector machine method and colliding bodies optimization algorithm. Dans: Construction and Building Materials, v. 275 (mars 2021).
- (2022): Cracking features of asphalt mixtures under induced heating-healing. Dans: Construction and Building Materials, v. 324 (mars 2022).
- (2021): Predicting the mechanical properties of sustainable concrete containing waste foundry sand using multi-objective ANN approach. Dans: Construction and Building Materials, v. 291 (juillet 2021).
- (2022): Predicting the compressive strength of self‐compacting concrete containing Class F fly ash using metaheuristic radial basis function neural network. Dans: Structural Concrete, v. 23, n. 2 (avril 2022).
- (2022): Predicting the compressive strength of green concretes using Harris hawks optimization-based data-driven methods. Dans: Construction and Building Materials, v. 318 (février 2022).
- (2008): Effects of silica fume addition and water to cement ratio on the properties of high-strength concrete after exposure to high temperatures. Dans: Cement and Concrete Composites, v. 30, n. 2 (février 2008).
- (2021): Mechanical properties of GGBFS-based geopolymer concrete incorporating natural zeolite and silica fume with an optimum design using response surface method. Dans: Journal of Building Engineering, v. 36 (avril 2021).
- (2021): Moisture Susceptibility of Asphalt Mixtures: Thermodynamic Evaluation of the Effects of Antistripping Additives. Dans: Journal of Materials in Civil Engineering (ASCE), v. 33, n. 2 (février 2021).
- (2021): Performance evaluation of asphalt mixtures containing warm mix asphalt (WMA) additives and reclaimed asphalt pavement (RAP). Dans: Construction and Building Materials, v. 268 (janvier 2021).
- (2020): A machine learning study of the dynamic modulus of asphalt concretes: An application of M5P model tree algorithm. Dans: Construction and Building Materials, v. 262 (novembre 2020).
- (2021): Predicting the dynamic modulus of asphalt mixture using machine learning techniques: An application of multi biogeography-based programming. Dans: Construction and Building Materials, v. 266 (janvier 2021).
- (2020): Estimation of the compressive strength of concretes containing ground granulated blast furnace slag using hybridized multi-objective ANN and salp swarm algorithm. Dans: Construction and Building Materials, v. 248 (juillet 2020).
- (2020): Machine learning study of the mechanical properties of concretes containing waste foundry sand. Dans: Construction and Building Materials, v. 243 (mai 2020).
- (2020): The effects of Gilsonite and Sasobit on the mechanical properties and durability of asphalt mixtures. Dans: Construction and Building Materials, v. 238 (mars 2020).
- (2020): Predicting the compressive strength of normal and High-Performance Concretes using ANN and ANFIS hybridized with Grey Wolf Optimizer. Dans: Construction and Building Materials, v. 232 (janvier 2020).
- (2012): Review of Thaumasite Sulfate Attack on Cement Mortar and Concrete. Dans: Journal of Materials in Civil Engineering (ASCE), v. 24, n. 12 (décembre 2012).
- (2010): Residual Mechanical Properties of High-Strength Concretes after Exposure to Elevated Temperatures. Dans: Journal of Materials in Civil Engineering (ASCE), v. 22, n. 1 (janvier 2010).
- (2009): Mechanical properties of high-strength concrete incorporating copper slag as coarse aggregate. Dans: Construction and Building Materials, v. 23, n. 6 (juin 2009).
- (2012): Laboratory studies to investigate the properties of CIR mixes containing steel slag as a substitute for virgin aggregates. Dans: Construction and Building Materials, v. 26 (janvier 2012).
- (2015): Predicting modulus elasticity of recycled aggregate concrete using M5′ model tree algorithm. Dans: Construction and Building Materials, v. 94 (septembre 2015).
- (2015): 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. Dans: Construction and Building Materials, v. 96 (octobre 2015).
- (2015): Evaluation of the splitting tensile strength in plain and steel fiber-reinforced concrete based on the compressive strength. Dans: Construction and Building Materials, v. 98 (novembre 2015).
- (2016): Methods for measuring pH in concrete: A review. Dans: Construction and Building Materials, v. 105 (février 2016).
- (2017): Prediction of the compressive strength of normal and high-performance concretes using M5P model tree algorithm. Dans: Construction and Building Materials, v. 142 (juillet 2017).
Structurae coopère avec
