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AuthorAl-Hamrani, Abathar
AuthorWakjira, Tadesse G.
AuthorAlnahhal, Wael
AuthorEbead, Usama
Available date2023-01-29T09:23:42Z
Publication Date2023
Publication NameComposite Structures
ResourceScopus
URIhttp://dx.doi.org/10.1016/j.compstruct.2022.116473
URIhttp://hdl.handle.net/10576/39136
AbstractFiber-reinforced polymer (FRP) composites are increasingly used in concrete structures owing to their superior corrosion resistance. However, FRP-reinforced concrete (RC) structures exhibit less ductile response compared to steel RC structures. Recently, the use of basalt fiber reinforced concrete (BFRC) reinforced with BFRP bars was investigated to achieve a reasonable level of ductility in BFRC-BFRP one-way slabs. The shear behavior of such a slab depends on different design parameters. This paper aims to identify the impact of each design parameter on the shear behavior of BFRC-BFRP one-way slabs using a fractional factorial design of experiment (DOE). A 3D finite element model was first developed and validated against available experimental results. The developed model is then used to conduct a sensitivity analysis considering five factors that influence the shear behavior of BFRC-BFRP one-way slabs. These factors are the longitudinal reinforcement ratio, shear span-to-depth ratio, effective depth, concrete compressive strength, and volume fraction of basalt macro fibers (BMF). Finally, a design equation that can predict the shear capacity of one-way BFRC-BFRP slabs was proposed based on genetic algorithm. The proposed model showed the best prediction accuracy compared to the available design codes and guidelines with a mean of predicted to experimental shear capacities (Vpred/Vexp) ratio of 0.97 and a coefficient of variation of 17.91%. 2022 The Authors
SponsorThe authors show their gratitude to Qatar Foundation for their financial support through the GSRA grant no. GSRA6-1-0301-19005 , the UREP award no. UREP21-089-2-039 , and the NPRP grant no. NPRP 13S-0209-200311 from the Qatar National Research Fund (QNRF, a member of Qatar Foundation). O pen access funding was provided by the QatarNational Library ( QNL ).
Languageen
PublisherElsevier
SubjectBasalt macro-fibers
BFRP bars
Finite element model
Genetic algorithms
Sensitivity analysis
Shear capacity
TitleSensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars
TypeArticle
Volume Number305
dc.accessType Open Access


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