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Documents publiés en "2023"

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Nombre de documents: 8

Article de revue

Cakiroglu, C., Islam, K., Bekdas, G., & Nehdi, M. L. (2023). Data-driven ensemble learning approach for optimal design of cantilever soldier pile retaining walls. Structures, 51, 1268-1280. Lien externe

Cakiroglu, C., Shahjalal, M., Islam, K., Mahmood, S. M. F., Billah, A. H. M. M., & Nehdi, M. L. (2023). Explainable ensemble learning data-driven modeling of mechanical properties of fiber-reinforced rubberized recycled aggregate concrete. Journal of Building Engineering, 76, 22 pages. Lien externe

Kabir, M. I., Mia, M. M., & Islam, K. (2023). Numerical and analytical investigations on the flexural behaviours of composite beams of inverted-T steel section and ultra-high-performance concrete (UHPC) slab. Structures, 57, 105087 (21 pages). Lien externe

Karim, M. R., Islam, K., Billah, A. H. M. M., & Alam, M. S. (2023). Shear Strength Prediction of Slender Concrete Beams Reinforced with FRP Rebar Using Data-Driven Machine Learning Algorithms. Journal of Composites for Construction, 27(2), 18 pages. Lien externe

Shahjalal, M., Islam, K., Batool, F., Tiznobaik, M., Zahid Hossain, F. M., Sakil Ahmed, K., Alam, M. S., & Ahsan, R. (2023). Fiber-reinforced recycled aggregate concrete with crumb rubber: A state-of-the-art review. Construction and Building Materials, 404, 133233 (37 pages). Lien externe

Shahjalal, M., Islam, M. J., Mouri, M. M., Fahim, M. R. A., Shuvo, M. R. J. S., & Islam, K. (2023). Flexural and bond-slip responses of reinforced concrete beams containing recycled coarse aggregate and polypropylene plastic. Journal of Building Engineering, 79, 107776 (18 pages). Lien externe

Communication écrite

Ehsani, K., Islam, K., & Jahidul, I. M. (mai 2021). Effect of Fiber Type and Length on the Mechanical Properties of Recycled Aggregate Concrete [Communication écrite]. Canadian Society of Civil Engineering Annual Conference (CSCE 2021), Berlin, Germany. Lien externe

Karim, M. R., Islam, K., Billah, A. H. M., & Alam, M. S. (mai 2022). Machine Learning Driven Shear Strength Prediction Model for FRP-Reinforced Concrete Beams [Communication écrite]. Canadian Society of Civil Engineering Annual Conference, Whistler, BC, Canada. Lien externe

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