Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars
<p dir="ltr">Fiber-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 basal...
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2023
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| _version_ | 1864513541606735872 |
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| author | Abathar Al-Hamrani (16494884) |
| author2 | Tadesse G. Wakjira (14779165) Wael Alnahhal (14152461) Usama Ebead (14779168) |
| author2_role | author author author |
| author_facet | Abathar Al-Hamrani (16494884) Tadesse G. Wakjira (14779165) Wael Alnahhal (14152461) Usama Ebead (14779168) |
| author_role | author |
| dc.creator.none.fl_str_mv | Abathar Al-Hamrani (16494884) Tadesse G. Wakjira (14779165) Wael Alnahhal (14152461) Usama Ebead (14779168) |
| dc.date.none.fl_str_mv | 2023-02-01T15:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.compstruct.2022.116473 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Sensitivity_analysis_and_genetic_algorithm-based_shear_capacity_model_for_basalt_FRC_one-way_slabs_reinforced_with_BFRP_bars/24501136 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Civil engineering Materials engineering BFRP bars Basalt macro-fibers Shear capacity Genetic algorithms Finite element model Sensitivity analysis |
| dc.title.none.fl_str_mv | Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Fiber-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 (V<sub>pred</sub>/V<sub>exp</sub>) ratio of 0.97 and a coefficient of variation of 17.91%.</p><h2>Other Information</h2><p dir="ltr">Published in: Composite Structures<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.compstruct.2022.116473" target="_blank">https://dx.doi.org/10.1016/j.compstruct.2022.116473</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_2dbead6eb5dba61818f8c1867caa5a1b |
| identifier_str_mv | 10.1016/j.compstruct.2022.116473 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24501136 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP barsAbathar Al-Hamrani (16494884)Tadesse G. Wakjira (14779165)Wael Alnahhal (14152461)Usama Ebead (14779168)EngineeringCivil engineeringMaterials engineeringBFRP barsBasalt macro-fibersShear capacityGenetic algorithmsFinite element modelSensitivity analysis<p dir="ltr">Fiber-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 (V<sub>pred</sub>/V<sub>exp</sub>) ratio of 0.97 and a coefficient of variation of 17.91%.</p><h2>Other Information</h2><p dir="ltr">Published in: Composite Structures<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.compstruct.2022.116473" target="_blank">https://dx.doi.org/10.1016/j.compstruct.2022.116473</a></p>2023-02-01T15:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.compstruct.2022.116473https://figshare.com/articles/journal_contribution/Sensitivity_analysis_and_genetic_algorithm-based_shear_capacity_model_for_basalt_FRC_one-way_slabs_reinforced_with_BFRP_bars/24501136CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/245011362023-02-01T15:00:00Z |
| spellingShingle | Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars Abathar Al-Hamrani (16494884) Engineering Civil engineering Materials engineering BFRP bars Basalt macro-fibers Shear capacity Genetic algorithms Finite element model Sensitivity analysis |
| status_str | publishedVersion |
| title | Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars |
| title_full | Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars |
| title_fullStr | Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars |
| title_full_unstemmed | Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars |
| title_short | Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars |
| title_sort | Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars |
| topic | Engineering Civil engineering Materials engineering BFRP bars Basalt macro-fibers Shear capacity Genetic algorithms Finite element model Sensitivity analysis |