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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Golafshani, Emadaldin Mohammadi / Behnood, Ali / Kim, Taehwan / Ngo, Tuan / Kashani, Alireza (2024): A framework for low-carbon mix design of recycled aggregate concrete with supplementary cementitious materials using machine learning and optimization algorithms. In: Structures, v. 61 (March 2024).

    https://doi.org/10.1016/j.istruc.2024.106143

  2. Kazemi, Ramin / Golafshani, Emadaldin Mohammadi / Behnood, Ali (2024): Compressive strength prediction of sustainable concrete containing waste foundry sand using metaheuristic optimization‐based hybrid artificial neural network. In: Structural Concrete, v. 25, n. 2 (January 2024).

    https://doi.org/10.1002/suco.202300313

  3. Zomorodian, Amir / Behnood, Ali (2023): Review of Corrosion Inhibitors in Reinforced Concrete: Conventional and Green Materials. In: Buildings, v. 13, n. 5 (27 April 2023).

    https://doi.org/10.3390/buildings13051170

  4. Hamidian, Pouria / Alidoust, Pourya / Golafshani, Emadaldin Mohammadi / Pourrostami Niavol, Kasra / Behnood, Ali (2022): Introduction of a novel evolutionary neural network for evaluating the compressive strength of concretes: A case of Rice Husk Ash concrete. In: Journal of Building Engineering, v. 61 (December 2022).

    https://doi.org/10.1016/j.jobe.2022.105293

  5. Daneshvar, Dana / Behnood, Ali / Robisson, Agathe (2022): Interfacial bond in concrete-to-concrete composites: A review. In: Construction and Building Materials, v. 359 (December 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.129195

  6. Amlashi, Amir Tavana / Golafshani, Emadaldin Mohammadi / Ebrahimi, Seyed Abolfazl / Behnood, Ali (2022): Estimation of the compressive strength of green concretes containing rice husk ash: a comparison of different machine learning approaches. In: European Journal of Environmental and Civil Engineering, v. 27, n. 2 (April 2022).

    https://doi.org/10.1080/19648189.2022.2068657

  7. Heidarabadizadeh, Nasrin / Ghanizadeh, Ali Reza / Behnood, Ali (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. In: Construction and Building Materials, v. 275 (March 2021).

    https://doi.org/10.1016/j.conbuildmat.2020.122140

  8. Karimi, Mohammad M. / Ahmadi Dehaghi, Ehsan / Behnood, Ali (2022): Cracking features of asphalt mixtures under induced heating-healing. In: Construction and Building Materials, v. 324 (March 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.126625

  9. Golafshani, Emadaldin Mohammadi / Behnood, Ali (2021): Predicting the mechanical properties of sustainable concrete containing waste foundry sand using multi-objective ANN approach. In: Construction and Building Materials, v. 291 (July 2021).

    https://doi.org/10.1016/j.conbuildmat.2021.123314

  10. Pazouki, Gholamreza / Golafshani, Emadaldin Mohammadi / Behnood, Ali (2022): Predicting the compressive strength of self‐compacting concrete containing Class F fly ash using metaheuristic radial basis function neural network. In: Structural Concrete, v. 23, n. 2 (April 2022).

    https://doi.org/10.1002/suco.202000047

  11. Golafshani, Emadaldin Mohammadi / Arashpour, Mehrdad / Behnood, Ali (2022): Predicting the compressive strength of green concretes using Harris hawks optimization-based data-driven methods. In: Construction and Building Materials, v. 318 (February 2022).

    https://doi.org/10.1016/j.conbuildmat.2021.125944

  12. Behnood, Ali / Ziari, Hasan (2008): Effects of silica fume addition and water to cement ratio on the properties of high-strength concrete after exposure to high temperatures. In: Cement and Concrete Composites, v. 30, n. 2 (February 2008).

    https://doi.org/10.1016/j.cemconcomp.2007.06.003

  13. Shahmansouri, Amir Ali / Nematzadeh, Mahdi / Behnood, Ali (2021): Mechanical properties of GGBFS-based geopolymer concrete incorporating natural zeolite and silica fume with an optimum design using response surface method. In: Journal of Building Engineering, v. 36 (April 2021).

    https://doi.org/10.1016/j.jobe.2020.102138

  14. Ameri, Mahmoud / Ziari, Hassan / Yousefi, Afshar / Behnood, Ali (2021): Moisture Susceptibility of Asphalt Mixtures: Thermodynamic Evaluation of the Effects of Antistripping Additives. In: Journal of Materials in Civil Engineering (ASCE), v. 33, n. 2 (February 2021).

    https://doi.org/10.1061/(asce)mt.1943-5533.0003561

  15. Yousefi, Afshar / Behnood, Ali / Nowruzi, Ata / Haghshenas, Hamzeh (2021): Performance evaluation of asphalt mixtures containing warm mix asphalt (WMA) additives and reclaimed asphalt pavement (RAP). In: Construction and Building Materials, v. 268 (January 2021).

    https://doi.org/10.1016/j.conbuildmat.2020.121200

  16. Behnood, Ali / Daneshvar, Dana (2020): A machine learning study of the dynamic modulus of asphalt concretes: An application of M5P model tree algorithm. In: Construction and Building Materials, v. 262 (November 2020).

    https://doi.org/10.1016/j.conbuildmat.2020.120544

  17. Behnood, Ali / Golafshani, Emadaldin Mohammadi (2021): Predicting the dynamic modulus of asphalt mixture using machine learning techniques: An application of multi biogeography-based programming. In: Construction and Building Materials, v. 266 (January 2021).

    https://doi.org/10.1016/j.conbuildmat.2020.120983

  18. Kandiri, Amirreza / Golafshani, Emadaldin Mohammadi / Behnood, Ali (2020): Estimation of the compressive strength of concretes containing ground granulated blast furnace slag using hybridized multi-objective ANN and salp swarm algorithm. In: Construction and Building Materials, v. 248 (July 2020).

    https://doi.org/10.1016/j.conbuildmat.2020.118676

  19. Behnood, Ali / Golafshani, Emadaldin Mohammadi (2020): Machine learning study of the mechanical properties of concretes containing waste foundry sand. In: Construction and Building Materials, v. 243 (May 2020).

    https://doi.org/10.1016/j.conbuildmat.2020.118152

  20. Sobhi, Saeid / Yousefi, Afshar / Behnood, Ali (2020): The effects of Gilsonite and Sasobit on the mechanical properties and durability of asphalt mixtures. In: Construction and Building Materials, v. 238 (March 2020).

    https://doi.org/10.1016/j.conbuildmat.2019.117676

  21. Golafshani, Emadaldin Mohammadi / Behnood, Ali / Arashpour, Mehrdad (2020): Predicting the compressive strength of normal and High-Performance Concretes using ANN and ANFIS hybridized with Grey Wolf Optimizer. In: Construction and Building Materials, v. 232 (January 2020).

    https://doi.org/10.1016/j.conbuildmat.2019.117266

  22. Shi, Caijun / Wang, Dehui / Behnood, Ali (2012): Review of Thaumasite Sulfate Attack on Cement Mortar and Concrete. In: Journal of Materials in Civil Engineering (ASCE), v. 24, n. 12 (December 2012).

    https://doi.org/10.1061/(asce)mt.1943-5533.0000530

  23. Ghandehari, Masoud / Behnood, Ali / Khanzadi, Mostafa (2010): Residual Mechanical Properties of High-Strength Concretes after Exposure to Elevated Temperatures. In: Journal of Materials in Civil Engineering (ASCE), v. 22, n. 1 (January 2010).

    https://doi.org/10.1061/(asce)0899-1561(2010)22:1(59)

  24. Khanzadi, Mostafa / Behnood, Ali (2009): Mechanical properties of high-strength concrete incorporating copper slag as coarse aggregate. In: Construction and Building Materials, v. 23, n. 6 (June 2009).

    https://doi.org/10.1016/j.conbuildmat.2008.12.005

  25. Ameri, Mahmoud / Behnood, Ali (2012): Laboratory studies to investigate the properties of CIR mixes containing steel slag as a substitute for virgin aggregates. In: Construction and Building Materials, v. 26 (January 2012).

    https://doi.org/10.1016/j.conbuildmat.2011.06.047

  26. Behnood, Ali / Olek, Jan / Glinicki, Michal A. (2015): Predicting modulus elasticity of recycled aggregate concrete using M5′ model tree algorithm. In: Construction and Building Materials, v. 94 (September 2015).

    https://doi.org/10.1016/j.conbuildmat.2015.06.055

  27. Behnood, Ali / Modiri Gharehveran, Mahsa / Gozali Asl, Farhad / Ameri, Mahmoud (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. In: Construction and Building Materials, v. 96 (October 2015).

    https://doi.org/10.1016/j.conbuildmat.2015.08.021

  28. Behnood, Ali / Verian, Kho Pin / Modiri Gharehveran, Mahsa (2015): Evaluation of the splitting tensile strength in plain and steel fiber-reinforced concrete based on the compressive strength. In: Construction and Building Materials, v. 98 (November 2015).

    https://doi.org/10.1016/j.conbuildmat.2015.08.124

  29. Behnood, Ali / Van Tittelboom, Kim / De Belie, Nele (2016): Methods for measuring pH in concrete: A review. In: Construction and Building Materials, v. 105 (February 2016).

    https://doi.org/10.1016/j.conbuildmat.2015.12.032

  30. Behnood, Ali / Behnood, Venous / Modiri Gharehveran, Mahsa / Alyamaç, Kürşat Esat (2017): Prediction of the compressive strength of normal and high-performance concretes using M5P model tree algorithm. In: Construction and Building Materials, v. 142 (July 2017).

    https://doi.org/10.1016/j.conbuildmat.2017.03.061

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