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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. Cakiroglu, Celal / Batool, Farnaz / Islam, Kamrul / Nehdi, Moncef L. (2024): Explainable ensemble learning predictive model for thermal conductivity of cement-based foam. In: Construction and Building Materials, v. 421 (March 2024).

    https://doi.org/10.1016/j.conbuildmat.2024.135663

  2. Shahjalal, Md. / Islam, Kamrul / Batool, Farnaz / Tiznobaik, Mohammad / Zahid Hossain, F. M. / Ahmed, Khondaker Sakil / Shahria Alam, M. / Ahsan, Raquib (2023): Fiber-reinforced recycled aggregate concrete with crumb rubber: A state-of-the-art review. In: Construction and Building Materials, v. 404 (November 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.133233

  3. Shahjalal, Md. / Islam, Md. Jahidul / Mouri, Mahfuza Maisha / Fahim, Md. Rakibul Abrar / Shuvo, Md. Raunack Jahan Sharker / Islam, Kamrul (2023): Flexural and bond-slip responses of reinforced concrete beams containing recycled coarse aggregate and polypropylene plastic. In: Journal of Building Engineering, v. 79 (November 2023).

    https://doi.org/10.1016/j.jobe.2023.107776

  4. Liu, Tongxu / Cakiroglu, Celal / Islam, Kamrul / Wang, Zhen / Nehdi, Moncef L. (2024): Explainable machine learning model for predicting punching shear strength of FRC flat slabs. In: Engineering Structures, v. 301 (February 2024).

    https://doi.org/10.1016/j.engstruct.2023.117276

  5. Rahman, Jesika / Billah, AHM Muntasir / Arafin, Palisa / Islam, Kamrul / Nehdi, Moncef L. (2024): Design-focused Interpretable Machine Learning Models for Compressive Capacity Prediction of Gusset Plate Connections. In: Engineering Structures, v. 298 (January 2024).

    https://doi.org/10.1016/j.engstruct.2023.117038

  6. Cakiroglu, Celal / Shahjalal, Md. / Islam, Kamrul / Mahmood, S. M. Faisal / Billah, A. H. M. Muntasir / Nehdi, Moncef L. (2023): Explainable ensemble learning data-driven modeling of mechanical properties of fiber-reinforced rubberized recycled aggregate concrete. In: Journal of Building Engineering, v. 76 (October 2023).

    https://doi.org/10.1016/j.jobe.2023.107279

  7. Kabir, Md. Imran / Mia, Md Manik / Islam, Kamrul (2023): Numerical and analytical investigations on the flexural behaviours of composite beams of inverted-T steel section and ultra-high-performance concrete (UHPC) slab. In: Structures, v. 57 (November 2023).

    https://doi.org/10.1016/j.istruc.2023.105087

  8. Cakiroglu, Celal / Islam, Kamrul / Bekdaş, Gebrail / Nehdi, Moncef L. (2023): Data-driven ensemble learning approach for optimal design of cantilever soldier pile retaining walls. In: Structures, v. 51 (May 2023).

    https://doi.org/10.1016/j.istruc.2023.03.109

  9. Karim, Mohammad Rezaul / Islam, Kamrul / Billah, A. H. M. Muntasir / Shahria Alam, M. (2023): Shear Strength Prediction of Slender Concrete Beams Reinforced with FRP Rebar Using Data-Driven Machine Learning Algorithms. In: Journal of Composites for Construction, v. 27, n. 2 (April 2023).

    https://doi.org/10.1061/(asce)cc.1943-5614.0001280

  10. Cakiroglu, Celal / Islam, Kamrul / Bekdaş, Gebrail / Isikdag, Umit / Mangalathu, Sujith (2022): Explainable machine learning models for predicting the axial compression capacity of concrete filled steel tubular columns. In: Construction and Building Materials, v. 356 (November 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.129227

  11. Batool, Farnaz / Jabbar Sangi, Abdul / Khan, Muhammad Saad / Islam, Kamrul (2022): Material characterization of a historical wall by using destructive and non-destructive techniques. In: Structures, v. 46 (December 2022).

    https://doi.org/10.1016/j.istruc.2022.11.006

  12. Islam, Md. Jahidul / Islam, Kamrul / Shahjalal, Md. / Khatun, Ehsani / Islam, Somaiya / Razzaque, Anika Binte (2022): Influence of different types of fibers on the mechanical properties of recycled waste aggregate concrete. In: Construction and Building Materials, v. 337 (June 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.127577

  13. Batool, Farnaz / Islam, Kamrul / Cakiroglu, Celal / Shahriar, Anjuman (2021): Effectiveness of wood waste sawdust to produce medium- to low-strength concrete materials. In: Journal of Building Engineering, v. 44 (December 2021).

    https://doi.org/10.1016/j.jobe.2021.103237

  14. Rahman, Jesika / Ahmed, Khondaker Sakil / Khan, Nafiz Imtiaz / Islam, Kamrul / Mangalathu, Sujith (2021): Data-driven shear strength prediction of steel fiber reinforced concrete beams using machine learning approach. In: Engineering Structures, v. 233 (April 2021).

    https://doi.org/10.1016/j.engstruct.2020.111743

  15. Islam, Kamrul / Billah, AHM Muntasir / Chowdhury, Md. Mominul Islam / Ahmed, Khondaker Sakil (2020): Exploratory study on bond behavior of plain and sand coated stainless steel rebars in concrete. In: Structures, v. 27 (October 2020).

    https://doi.org/10.1016/j.istruc.2020.07.039

  16. Nahar, Mumtasirun / Islam, Kamrul / Billah, A. H. M. Muntasir (2020): Seismic collapse safety assessment of concrete beam-column joints reinforced with different types of shape memory alloy rebars. In: Journal of Building Engineering, v. 29 (May 2020).

    https://doi.org/10.1016/j.jobe.2019.101106

  17. Hossain, F. M. Zahid / Shahjalal, Md. / Islam, Kamrul / Tiznobaik, Mohammad / Shahria Alam, M. (2019): Mechanical properties of recycled aggregate concrete containing crumb rubber and polypropylene fiber. In: Construction and Building Materials, v. 225 (November 2019).

    https://doi.org/10.1016/j.conbuildmat.2019.07.245

  18. Nahar, Mumtasirun / Billah, A. H. M. Muntasir / Kamal, Habibur R. / Islam, Kamrul (2019): Numerical seismic performance evaluation of concrete beam-column joint reinforced with different super elastic shape memory alloy rebars. In: Engineering Structures, v. 194 (September 2019).

    https://doi.org/10.1016/j.engstruct.2019.05.054

  19. Quadir, Upal Mohammad Towfiqul / Islam, Kamrul / Billah, A. H. M. Muntasir / Shahria Alam, M. (2016): Mechanical and durability properties of concrete using recycled granulated steel. In: Construction and Building Materials, v. 123 (October 2016).

    https://doi.org/10.1016/j.conbuildmat.2016.06.139

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