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Muhammad Fawad 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. 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. In: Case Studies in Construction Materials, v. 20 (July 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. In: Case Studies in Construction Materials, v. 20 (July 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. In: Structures, v. 60 (February 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. In: Case Studies in Construction Materials, v. 20 (July 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. In: Case Studies in Construction Materials, v. 20 (July 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. In: Structures, v. 59 (January 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. In: Case Studies in Construction Materials, v. 19 (December 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. In: Case Studies in Construction Materials, v. 19 (December 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. In: Case Studies in Construction Materials, v. 18 (July 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. In: 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. In: Procedia Structural Integrity, v. 18 ( 2019).

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

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