Takip et
Kamrul Islam
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Data-driven shear strength prediction of steel fiber reinforced concrete beams using machine learning approach
J Rahman, KS Ahmed, NI Khan, K Islam, S Mangalathu
Engineering Structures 233, 111743, 2021
2582021
Mechanical properties of recycled aggregate concrete containing crumb rubber and polypropylene fiber
FMZ Hossain, M Shahjalal, K Islam, M Tiznobaik, MS Alam
Construction and Building Materials 225, 983-996, 2019
2272019
Flexural response of fiber reinforced concrete beams with waste tires rubber and recycled aggregate
M Shahjalal, K Islam, J Rahman, KS Ahmed, MR Karim, AHMM Billah
Journal of Cleaner Production 278, 123842, 2021
1162021
Explainable machine learning models for predicting the axial compression capacity of concrete filled steel tubular columns
C Cakiroglu, K Islam, G Bekdaş, U Isikdag, S Mangalathu
Construction and Building Materials 356, 129227, 2022
742022
Effectiveness of wood waste sawdust to produce medium-to low-strength concrete materials
F Batool, K Islam, C Cakiroglu, A Shahriar
Journal of Building Engineering 44, 103237, 2021
642021
Influence of different types of fibers on the mechanical properties of recycled waste aggregate concrete
MJ Islam, K Islam, M Shahjalal, E Khatun, S Islam, AB Razzaque
Construction and Building Materials 337, 127577, 2022
602022
Explainable ensemble learning data-driven modeling of mechanical properties of fiber-reinforced rubberized recycled aggregate concrete
C Cakiroglu, M Shahjalal, K Islam, SMF Mahmood, AHMM Billah, ...
Journal of Building Engineering 76, 107279, 2023
532023
Seismic collapse safety assessment of concrete beam-column joints reinforced with different types of shape memory alloy rebars
M Nahar, K Islam, AHMM Billah
Journal of Building Engineering 29, 101106, 2020
422020
Interpretable Machine Learning Algorithms to Predict the Axial Capacity of FRP-Reinforced Concrete Columns
C Cakiroglu, K Islam, G Bekdaş, S Kim, ZW Geem
Materials 15 (8), 2742, 2022
402022
CO2 Emission and Cost Optimization of Concrete-Filled Steel Tubular (CFST) Columns Using Metaheuristic Algorithms
C Cakiroglu, K Islam, G Bekdaş, M Billah
Sustainability 13 (14), 8092, 2021
352021
Fiber-reinforced recycled aggregate concrete with crumb rubber: A state-of-the-art review
M Shahjalal, K Islam, F Batool, M Tiznobaik, FMZ Hossain, KS Ahmed, ...
Construction and Building Materials 404, 133233, 2023
342023
Exploratory study on bond behavior of plain and sand coated stainless steel rebars in concrete
K Islam, AHMM Billah, MMI Chowdhury, KS Ahmed
Structures 27, 2365-2378, 2020
322020
Data-driven ensemble learning approach for optimal design of cantilever soldier pile retaining walls
C Cakiroglu, K Islam, G Bekdaş, ML Nehdi
Structures 51, 1268-1280, 2023
272023
CO2 Emission Optimization of Concrete-Filled Steel Tubular Rectangular Stub Columns Using Metaheuristic Algorithms
C Cakiroglu, K Islam, G Bekdaş, S Kim, ZW Geem
Sustainability 13 (19), 10981, 2021
242021
Numerical seismic performance evaluation of concrete beam-column joint reinforced with different super elastic shape memory alloy rebars
M Nahar, AHMM Billah, HR Kamal, K Islam
Engineering Structures 194, 161-172, 2019
242019
Explainable machine learning model for predicting punching shear strength of FRC flat slabs
T Liu, C Cakiroglu, K Islam, Z Wang, ML Nehdi
Engineering Structures 301, 117276, 2024
212024
Optimum Design of Cylindrical Walls Using Ensemble Learning Methods
G Bekdaş, C Cakiroglu, K Islam, S Kim, ZW Geem
Applied Sciences 12 (4), 2165, 2022
202022
Mechanical and durability properties of concrete using recycled granulated steel
UMT Quadir, K Islam, AHMM Billah, MS Alam
Construction and Building Materials 123, 174-183, 2016
192016
Metaheuristic optimization of laminated composite plates with cut-outs
C Cakiroglu, K Islam, G Bekdaş, S Kim, ZW Geem
Coatings 11 (10), 1235, 2021
172021
Mechanical characterization of fiber-reinforced rubberized recycled concrete
M Shahjalal, K Islam, T Ahmed, R Ahsan
Construction and Building Materials 412, 134799, 2024
162024
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