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Tadesse G. Wakjira ORCID

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. Wakjira, Tadesse G. / Abushanab, Abdelrahman / Shahria Alam, M. (2024): Hybrid machine learning model and predictive equations for compressive stress-strain constitutive modelling of confined ultra-high-performance concrete (UHPC) with normal-strength steel and high-strength steel spirals. In: Engineering Structures, v. 304 (April 2024).

    https://doi.org/10.1016/j.engstruct.2024.117633

  2. Dey, Ashish / Rumman, Rubaiya / Wakjira, Tadesse G. / Jindal, Ashish / Bediwy, Ahmed G. / Islam, M. Shahidul / Shahria Alam, M. / Al Martini, Samer / Sabouni, Reem (2024): Towards net-zero emission: A case study investigating sustainability potential of geopolymer concrete with recycled glass powder and gold mine tailings. In: Journal of Building Engineering, v. 86 (June 2024).

    https://doi.org/10.1016/j.jobe.2024.108683

  3. Wakjira, Tadesse G. / Kutty, Adeeb A. / Shahria Alam, M. (2024): A novel framework for developing environmentally sustainable and cost-effective ultra-high-performance concrete (UHPC) using advanced machine learning and multi-objective optimization techniques. In: Construction and Building Materials, v. 416 (February 2024).

    https://doi.org/10.1016/j.conbuildmat.2024.135114

  4. Wakjira, Tadesse G. / Abushanab, Abdelrahman / Shahria Alam, M. / Alnahhal, Wael / Plevris, Vagelis (2024): Explainable machine learning-aided efficient prediction model and software tool for bond strength of concrete with corroded reinforcement. In: Structures, v. 59 (January 2024).

    https://doi.org/10.1016/j.istruc.2023.105693

  5. Al Martini, Samer / Sabouni, Reem / Khartabil, Ahmad / Wakjira, Tadesse G. / Shahria Alam, M. (2023): Development and strength prediction of sustainable concrete having binary and ternary cementitious blends and incorporating recycled aggregates from demolished UAE buildings: Experimental and machine learning-based studies. In: Construction and Building Materials, v. 380 (May 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.131278

  6. Al-Hamrani, Abathar / Wakjira, Tadesse G. / Alnahhal, Wael / Ebead, Usama (2023): Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars. In: Composite Structures, v. 305 (February 2023).

    https://doi.org/10.1016/j.compstruct.2022.116473

  7. Wakjira, Tadesse G. / Rahmzadeh, Ahmad / Shahria Alam, M. / Tremblay, Robert (2022): Explainable machine learning based efficient prediction tool for lateral cyclic response of post-tensioned base rocking steel bridge piers. In: Structures, v. 44 (October 2022).

    https://doi.org/10.1016/j.istruc.2022.08.023

  8. Kennedy-Kuiper, Remy C. S. / Wakjira, Tadesse G. / Shahria Alam, M. (2022): Repair and Retrofit of RC Bridge Piers with Steel-Reinforced Grout Jackets: An Experimental Investigation. In: Journal of Bridge Engineering (ASCE), v. 27, n. 8 (August 2022).

    https://doi.org/10.1061/(asce)be.1943-5592.0001903

  9. Wakjira, Tadesse G. / Al-Hamrani, Abathar / Ebead, Usama / Alnahhal, Wael (2022): Shear Capacity Prediction of FRP-RC Beams Using Single and Ensenble ExPlainable Machine Learning Models. In: Composite Structures, v. 287 (May 2022).

    https://doi.org/10.1016/j.compstruct.2022.115381

  10. Wakjira, Tadesse G. / Ibrahim, Mohamed / Ebead, Usama / Shahria Alam, M. (2022): Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM. In: Engineering Structures, v. 255 (March 2022).

    https://doi.org/10.1016/j.engstruct.2022.113903

  11. Wakjira, Tadesse G. / Shahria Alam, M. / Ebead, Usama (2021): Plastic hinge length of rectangular RC columns using ensemble machine learning model. In: Engineering Structures, v. 244 (October 2021).

    https://doi.org/10.1016/j.engstruct.2021.112808

  12. Wakjira, Tadesse G. / Ebead, Usama (2019): A shear design model for RC beams strengthened with fabric reinforced cementitious matrix. In: Engineering Structures, v. 200 (December 2019).

    https://doi.org/10.1016/j.engstruct.2019.109698

  13. Wakjira, Tadesse G. / Ebead, Usama (2021): Strengthening of reinforced concrete beams in shear using different steel reinforced grout techniques. In: Structural Concrete, v. 22, n. 2 (April 2021).

    https://doi.org/10.1002/suco.202000354

  14. Wakjira, Tadesse G. / Ebead, Usama (2018): FRCM/internal transverse shear reinforcement interaction in shear strengthened RC beams. In: Composite Structures, v. 201 (October 2018).

    https://doi.org/10.1016/j.compstruct.2018.06.034

  15. Wakjira, Tadesse G. / Nehdi, Moncef L. / Ebead, Usama (2020): Fractional factorial design model for seismic performance of RC bridge piers retrofitted with steel-reinforced polymer composites. In: Engineering Structures, v. 221 (October 2020).

    https://doi.org/10.1016/j.engstruct.2020.111100

  16. Wakjira, Tadesse G. / Ebead, Usama (2020): Shear span-to-depth ratio effect on steel reinforced grout strengthened reinforced concrete beams. In: Engineering Structures, v. 216 (August 2020).

    https://doi.org/10.1016/j.engstruct.2020.110737

  17. El-Sherif, HossamEldin / Wakjira, Tadesse G. / Ebead, Usama (2020): Flexural strengthening of reinforced concrete beams using hybrid near-surface embedded/externally bonded fabric-reinforced cementitious matrix. In: Construction and Building Materials, v. 238 (March 2020).

    https://doi.org/10.1016/j.conbuildmat.2019.117748

  18. Wakjira, Tadesse G. / Ebead, Usama (2018): Hybrid NSE/EB technique for shear strengthening of reinforced concrete beams using FRCM: Experimental study. In: Construction and Building Materials, v. 164 (March 2018).

    https://doi.org/10.1016/j.conbuildmat.2017.12.224

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