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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. MolaAbasi, Hossein / Ataee, Omolbanin / Naghdipour Mirsadeghi, Majid / Fattahi Masrour, Farimah / Marani, Afshin / Nehdi, Moncef L. (2024): Investigation of High Plasticity Clay Stabilized with Cement and Zeolite Using Time-Dependent Pressure Wave Velocity. In: Journal of Materials in Civil Engineering (ASCE), v. 36, n. 6 (June 2024).

    https://doi.org/10.1061/jmcee7.mteng-16964

  2. Marani, Afshin / Geranfar, Erfan / Zhang, Lei / Nehdi, Moncef L. (2023): Deep learning-assisted calculation of apparent activation energy for cement-based systems incorporating microencapsulated phase change materials. In: Construction and Building Materials, v. 404 (November 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.133324

  3. Xu, Chunyi / Nehdi, Moncef L. / Wang, Kaile / Marani, Afshin / Zhang, Lei (2023): Seismic behavior of autoclaved aerated concrete masonry walls reinforced with glass-fiber geogrid. In: Structures, v. 58 (December 2023).

    https://doi.org/10.1016/j.istruc.2023.105367

  4. Zhang, Yannian / Li, Zhijun / Gu, Xiaowei / Nehdi, Moncef L. / Marani, Afshin / Zhang, Lei (2023): Utilization of iron ore tailings with high volume in green concrete. In: Journal of Building Engineering, v. 72 (August 2023).

    https://doi.org/10.1016/j.jobe.2023.106585

  5. Nunez, Itzel / Marani, Afshin / Flah, Majdi / Nehdi, Moncef L. (2021): Estimating compressive strength of modern concrete mixtures using computational intelligence: A systematic review. In: Construction and Building Materials, v. 310 (December 2021).

    https://doi.org/10.1016/j.conbuildmat.2021.125279

  6. Tanyildizi, Harun / Marani, Afshin / Turk, Kazim / Nehdi, Moncef L. (2022): Hybrid deep learning model for concrete incorporating microencapsulated phase change materials. In: Construction and Building Materials, v. 319 (February 2022).

    https://doi.org/10.1016/j.conbuildmat.2021.126146

  7. Zhang, Lei V. / Suleiman, Ahmed R. / Mehdizadeh Allaf, Malihe / Marani, Afshin / Tuyan, Murat / Nehdi, Moncef L. (2022): Crack self-healing in alkali-activated slag composites incorporating immobilized bacteria. In: Construction and Building Materials, v. 326 (April 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.126842

  8. Zhang, Lei V. / Marani, Afshin / Nehdi, Moncef L. (2022): Chemistry-informed machine learning prediction of compressive strength for alkali-activated materials. In: Construction and Building Materials, v. 316 (January 2022).

    https://doi.org/10.1016/j.conbuildmat.2021.126103

  9. Marani, Afshin / Nehdi, Moncef L. (2022): Predicting shear strength of FRP-reinforced concrete beams using novel synthetic data driven deep learning. In: Engineering Structures, v. 257 (April 2022).

    https://doi.org/10.1016/j.engstruct.2022.114083

  10. Abbasi Hattan, Hamed / Madhkhan, Mortaza / Marani, Afshin (2021): Thermal and mechanical properties of building external walls plastered with cement mortar incorporating shape-stabilized phase change materials (SSPCMs). In: Construction and Building Materials, v. 270 (February 2021).

    https://doi.org/10.1016/j.conbuildmat.2020.121385

  11. Marani, Afshin / Madhkhan, Morteza (2018): An innovative apparatus for simulating daily temperature for investigating thermal performance of wallboards incorporating PCMs. In: Energy and Buildings, v. 167 (May 2018).

    https://doi.org/10.1016/j.enbuild.2018.02.029

  12. Marani, Afshin / Nehdi, Moncef L. (2020): Machine learning prediction of compressive strength for phase change materials integrated cementitious composites. In: Construction and Building Materials, v. 265 (December 2020).

    https://doi.org/10.1016/j.conbuildmat.2020.120286

  13. Marani, Afshin / Nehdi, Moncef L. (2019): Integrating phase change materials in construction materials: Critical review. In: Construction and Building Materials, v. 217 (August 2019).

    https://doi.org/10.1016/j.conbuildmat.2019.05.064

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