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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. 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

  2. Rahman, Jesika / Arafin, Palisa / Muntasir Billah, A. H. M. (2023): Machine learning models for predicting concrete beams shear strength externally bonded with FRP. In: Structures, v. 53 (July 2023).

    https://doi.org/10.1016/j.istruc.2023.04.069

  3. Rahman, Jesika / Billah, AHM Muntasir (2023): Development of Performance-Based Fragility Curves of Coastal Bridges Subjected to Extreme Wave-Induced Loads. In: Journal of Bridge Engineering (ASCE), v. 28, n. 3 (March 2023).

    https://doi.org/10.1061/jbenf2.beeng-5899

  4. Billah, AHM Muntasir / Rahman, Jesika / Zhang, Qi (2022): Shape memory alloys (SMAs) for resilient bridges: A state-of-the-art review. In: Structures, v. 37 (March 2022).

    https://doi.org/10.1016/j.istruc.2022.01.034

  5. 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

  6. Rahman, Jesika / Billah, A. H. M. Muntasir (2020): Seismic Performance Evaluation of Shape Memory Alloy (SMA) Reinforced Concrete Bridge Bents Under Long-Duration Motion. In: Frontiers in Built Environment, v. 6 (January 2020).

    https://doi.org/10.3389/fbuil.2020.601736

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