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Saif Alzabeebee ORCID

La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. AlObaidi, Salam Maytham / Mousa, Mohammed Abbas / Almusawi, Aqil M. / Shallal, Muhaned A. / Alzabeebee, Saif (2024): Flexural Behavior of Concrete-Filled Steel Tube Beams Composite with Concrete Slab Deck. Dans: Infrastructures, v. 9, n. 10 (8 octobre 2024).

    https://doi.org/10.3390/infrastructures9100187

  2. Albostami, Asad S. / Mohamad, Safaa A. / Alzabeebee, Saif / Al-Hamd, Rwayda Kh.S. / Al-Bander, Baidaa (2025): Optimized punching shear design in steel fiber-reinforced slabs: Machine learning vs. evolutionary prediction models. Dans: Engineering Structures, v. 322 (janvier 2025).

    https://doi.org/10.1016/j.engstruct.2024.119150

  3. Al-Hamd, Rwayda Kh S. / Albostami, Asad S. / Alzabeebee, Saif / Al-Bander, Baidaa (2024): An optimized prediction of FRP bars in concrete bond strength employing soft computing techniques. Dans: Journal of Building Engineering, v. 86 (juin 2024).

    https://doi.org/10.1016/j.jobe.2024.108883

  4. Albostami, Asad S. / Al-Hamd, Rwayda Kh. S. / Alzabeebee, Saif (2023): Shear strength assessment of reinforced recycled aggregate concrete beams without stirrups using soft computing techniques. Dans: Journal of Building Pathology and Rehabilitation, v. 8, n. 2 (12 juin 2023).

    https://doi.org/10.1007/s41024-023-00343-w

  5. Ngamkhanong, Chayut / Alzabeebee, Saif / Keawsawasvong, Suraparb / Thongchom, Chanachai (2023): Performance of different machine learning techniques in predicting the flexural capacity of concrete beams reinforced with FRP rods. Dans: Asian Journal of Civil Engineering, v. 25, n. 1 (juillet 2023).

    https://doi.org/10.1007/s42107-023-00792-1

  6. Albostami, Asad S. / Al-Hamd, Rwayda Kh. S. / Alzabeebee, Saif / Minto, Andrew / Keawsawasvong, Suraparb (2023): Application of soft computing in predicting the compressive strength of self-compacted concrete containing recyclable aggregate. Dans: Asian Journal of Civil Engineering, v. 25, n. 1 (juillet 2023).

    https://doi.org/10.1007/s42107-023-00767-2

  7. Alzabeebee, Saif / Alshibany, Safaa Manfi / Keawsawasvong, Suraparb / Forcellini, Davide (2023): The Efficiency of the Benefits of Tire-Derived Aggregate Backfill for Buried Concrete Pipes Beneath Paved and Unpaved Roads. Dans: Infrastructures, v. 8, n. 7 (30 juin 2023).

    https://doi.org/10.3390/infrastructures8070107

  8. Forcellini, Davide / Alzabeebee, Saif (2023): Seismic fragility assessment of geotechnical seismic isolation (GSI) for bridge configuration. Dans: Bulletin of Earthquake Engineering, v. 21, n. 8 (avril 2023).

    https://doi.org/10.1007/s10518-022-01356-5

  9. Alzabeebee, Saif / Forcellini, Davide (2021): Numerical Simulations of the Seismic Response of a RC Structure Resting on Liquefiable Soil. Dans: Buildings, v. 11, n. 9 (25 août 2021).

    https://doi.org/10.3390/buildings11090379

  10. Alzabeebee, Saif / Chapman, David / Jefferson, Ian / Faramarzi, Asaad (2017): The response of buried pipes to UK standard traffic loading. Dans: Proceedings of the Institution of Civil Engineers - Geotechnical Engineering, v. 170, n. 1 (février 2017).

    https://doi.org/10.1680/jgeen.15.00190

  11. Alzabeebee, Saif (2019): Seismic response and design of buried concrete pipes subjected to soil loads. Dans: Tunnelling and Underground Space Technology, v. 93 (novembre 2019).

    https://doi.org/10.1016/j.tust.2019.103084

  12. Alzabeebee, Saif / Chapman, David N. / Faramarzi, Asaad (2019): Economical design of buried concrete pipes subjected to UK standard traffic loading. Dans: Proceedings of the Institution of Civil Engineers - Structures and Buildings, v. 172, n. 2 (février 2019).

    https://doi.org/10.1680/jstbu.17.00035

  13. Alzabeebee, Saif / Chapman, David N. / Faramarzi, Asaad (2018): Development of a novel model to estimate bedding factors to ensure the economic and robust design of rigid pipes under soil loads. Dans: Tunnelling and Underground Space Technology, v. 71 (janvier 2018).

    https://doi.org/10.1016/j.tust.2017.11.009

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