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Muhammad Fawad 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. Alyousef, Rayed / Nassar, Roz-Ud-Din / Fawad, Muhammad / Farooq, Furqan / Gamil, Yaser / Najeh, Taoufik (2024): Predicting the properties of concrete incorporating graphene nano platelets by experimental and machine learning approaches. Dans: Case Studies in Construction Materials, v. 20 (juillet 2024).

    https://doi.org/10.1016/j.cscm.2024.e03018

  2. Alyami, Mana / Nassar, Roz-Ud-Din / Khan, Majid / Hammad, Ahmed WA / Alabduljabbar, Hisham / Nawaz, R. / Fawad, Muhammad / Gamil, Yaser (2024): Estimating compressive strength of concrete containing rice husk ash using interpretable machine learning-based models. Dans: Case Studies in Construction Materials, v. 20 (juillet 2024).

    https://doi.org/10.1016/j.cscm.2024.e02901

  3. Hanif, Muhammad Usman / Seo, Soo-Yeon / Fawad, Muhammad (2024): Numerical study on the design performance of wedge-type precast horizontal wall-slab joint for vertical load transfer. Dans: Structures, v. 60 (février 2024).

    https://doi.org/10.1016/j.istruc.2023.105799

  4. Alyami, Mana / Khan, Majid / Fawad, Muhammad / Nawaz, R. / Hammad, Ahmed W. A. / Najeh, Taoufik / Gamil, Yaser (2024): Predictive modeling for compressive strength of 3D printed fiber-reinforced concrete using machine learning algorithms. Dans: Case Studies in Construction Materials, v. 20 (juillet 2024).

    https://doi.org/10.1016/j.cscm.2023.e02728

  5. Khan, Adil / Khan, Majid / Ali, Mohsin / Khan, Murad / Khan, Asad Ullah / Shakeel, Muhammad / Fawad, Muhammad / Najeh, Taoufik / Gamil, Yaser (2024): Predictive modeling for depth of wear of concrete modified with fly ash: A comparative analysis of genetic programming-based algorithms. Dans: Case Studies in Construction Materials, v. 20 (juillet 2024).

    https://doi.org/10.1016/j.cscm.2023.e02744

  6. Li, Tianlong / Yang, Jianyu / Jiang, Pengxiao / Abuhussain, Mohammed Awad / Zaman, Athar / Fawad, Muhammad / Farooq, Furqan (2024): Forecasting the strength of nanocomposite concrete containing carbon nanotubes by interpretable machine learning approaches with graphical user interface. Dans: Structures, v. 59 (janvier 2024).

    https://doi.org/10.1016/j.istruc.2023.105821

  7. Alyousef, jssRayed / Nassar, Roz-Ud-Din / Khan, Majid / Arif, Kiran / Fawad, Muhammad / Hassan, Ahmed M. / Ghamry, Nivin A. (2023): Forecasting the Strength Characteristics of Concrete incorporating Waste Foundry Sand using advance machine algorithms including deep learning. Dans: Case Studies in Construction Materials, v. 19 (décembre 2023).

    https://doi.org/10.1016/j.cscm.2023.e02459

  8. Alyousef, Rayed / Faisal Rehman, Muhammad / Khan, Majid / Fawad, Muhammad / Khan, Asad Ullah / Hassan, Ahmed M. / Ghamry, Nivin A. (2023): Machine learning-driven predictive models for compressive strength of steel fiber reinforced concrete subjected to high temperatures. Dans: Case Studies in Construction Materials, v. 19 (décembre 2023).

    https://doi.org/10.1016/j.cscm.2023.e02418

  9. Imran, Muhammad / Khushnood, Rao Arsalan / Fawad, Muhammad (2023): A hybrid data-driven and metaheuristic optimization approach for the compressive strength prediction of high-performance concrete. Dans: Case Studies in Construction Materials, v. 18 (juillet 2023).

    https://doi.org/10.1016/j.cscm.2023.e01890

  10. Khan, Bilal L. / Azeem, Muhammad / Usman, Muhammad / Farooq, Syed H. / Hanif, Asad / Fawad, Muhammad (2019): Effect of near and far Field Earthquakes on performance of various base isolation systems. Dans: Procedia Structural Integrity, v. 18 ( 2019).

    https://doi.org/10.1016/j.prostr.2019.08.145

  11. Fawad, Muhammad / Kalman, K. / Khushnood, R. A. / Usman, Muhammad (2019): Retrofitting of damaged reinforced concrete bridge structure. Dans: Procedia Structural Integrity, v. 18 ( 2019).

    https://doi.org/10.1016/j.prostr.2019.08.153

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