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Documents publiés en "2021"

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Nombre de documents: 8

Département des génies civil, géologique et des mines

Batool, F., Islam, K., Cakiroglu, C., & Shahriar, A. (2021). Effectiveness of wood waste sawdust to produce medium- to low-strength concrete materials. Journal of Building Engineering, 44, 103237 (12 pages). Lien externe

Cakiroglu, C., Islam, K., & Bekdaş, G. (2021). Optimization of Concrete-Filled Steel Tubular (CFST) Columns Using Meta-Heuristic Algorithms. International Journal of Digital Innovation in the Built Environment (IJDIBE), 10(2), 63-74. Lien externe

Cakiroglu, C., Islam, K., Bekdaş, G., Kim, S., & Geem, Z. W. (2021). Metaheuristic Optimization of Laminated Composite Plates with Cut-Outs. Coatings, 11(10), 20 pages. Lien externe

Cakiroglu, C., Islam, K., Bekdaş, G.̇., & Billah, M. (2021). CO₂ Emission and Cost Optimization of Concrete-Filled Steel Tubular (CFST) Columns Using Metaheuristic Algorithms. Sustainability, 13(14), 8092 (23 pages). Lien externe

Cakiroglu, C., Islam, K., Bekdaş, G.̇., Kim, S., & Geem, Z. W. (2021). CO₂ Emission Optimization of Concrete-Filled Steel Tubular Rectangular Stub Columns Using Metaheuristic Algorithms. Sustainability, 13(19), 10981 (26 pages). Lien externe

Hossain, F., Rahmzadeh, A., Tremblay, R., Alam, M. S., & Islam, K. (septembre 2020). Numerical modelling to simulate the seismic response of bridges with base rocking steel columns [Communication écrite]. 17th world Conference on Earthquake Engineering (17WCEE), Sendai, Japan (11 pages). Publié dans World Conference on Earthquake Engineering proceedings, 2021. Lien externe

Rahman, J., Ahmed, K. S., Khan, N. I., Islam, K., & Mangalathu, S. (2021). Data-driven shear strength prediction of steel fiber reinforced concrete beams using machine learning approach. Engineering Structures, 233, 22 pages. Lien externe

Shahjalal, M., Islam, K., Rahman, J., Ahmed, K. S., Karim, M. R., & Billah, A. H. M. M. (2021). Flexural response of fiber reinforced concrete beams with waste tires rubber and recycled aggregate. Journal of Cleaner Production, 278, 123842 (18 pages). Lien externe

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