Symbolic Regression Model for Predicting Compression Strength of Prismatic Masonry Columns Confined by FRP
The use of Fiber Reinforced Polymer (FRP) materials for the external confinement of existing concrete or masonry members is now an established technical solution. Several studies in the scientific literature show how FRP wrapping can improve the mechanical properties of members. Though there are num...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/13/2/509 |
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| author | Khalid Saqer Alotaibi A. B. M. Saiful Islam |
| author_facet | Khalid Saqer Alotaibi A. B. M. Saiful Islam |
| author_sort | Khalid Saqer Alotaibi |
| collection | DOAJ |
| description | The use of Fiber Reinforced Polymer (FRP) materials for the external confinement of existing concrete or masonry members is now an established technical solution. Several studies in the scientific literature show how FRP wrapping can improve the mechanical properties of members. Though there are numerous methods for determining the compressive strength of FRP confined concrete, no generalized formulae are available because of the greater complexity and heterogeneity of FRP-confined masonry. There are two main objectives in this analytical study: (a) proposing an entirely new mathematical expression to estimate the compressive strength of FRP confined masonry columns using symbolic regression model approach which can outperform traditional regression models, and (b) evaluating existing formulas. Over 198 tests of FRP wrapped masonry were compiled in a database and used to train the model. Several formulations from the published literature and international guidelines have been compared against experimental data. It is observed that the proposed symbolic regression model shows excellent performance compared to the existing models. The model is easier, has no restriction and thereby it can be feasibly employed to foresee the behavior of FRP confined masonry elements. The coefficient of determination for the proposed symbolic regression model is determined as 0.91. |
| first_indexed | 2024-03-11T09:02:38Z |
| format | Article |
| id | doaj.art-0fbae40bda5249b68fa06e0b94eef417 |
| institution | Directory Open Access Journal |
| issn | 2075-5309 |
| language | English |
| last_indexed | 2024-03-11T09:02:38Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj.art-0fbae40bda5249b68fa06e0b94eef4172023-11-16T19:33:43ZengMDPI AGBuildings2075-53092023-02-0113250910.3390/buildings13020509Symbolic Regression Model for Predicting Compression Strength of Prismatic Masonry Columns Confined by FRPKhalid Saqer Alotaibi0A. B. M. Saiful Islam1Department of Civil and Construction Engineering, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam 31451, Saudi ArabiaDepartment of Civil and Construction Engineering, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam 31451, Saudi ArabiaThe use of Fiber Reinforced Polymer (FRP) materials for the external confinement of existing concrete or masonry members is now an established technical solution. Several studies in the scientific literature show how FRP wrapping can improve the mechanical properties of members. Though there are numerous methods for determining the compressive strength of FRP confined concrete, no generalized formulae are available because of the greater complexity and heterogeneity of FRP-confined masonry. There are two main objectives in this analytical study: (a) proposing an entirely new mathematical expression to estimate the compressive strength of FRP confined masonry columns using symbolic regression model approach which can outperform traditional regression models, and (b) evaluating existing formulas. Over 198 tests of FRP wrapped masonry were compiled in a database and used to train the model. Several formulations from the published literature and international guidelines have been compared against experimental data. It is observed that the proposed symbolic regression model shows excellent performance compared to the existing models. The model is easier, has no restriction and thereby it can be feasibly employed to foresee the behavior of FRP confined masonry elements. The coefficient of determination for the proposed symbolic regression model is determined as 0.91.https://www.mdpi.com/2075-5309/13/2/509fiber reinforced polymerstrengthconfinementsymbolic regression modelmasonrygenetic programming |
| spellingShingle | Khalid Saqer Alotaibi A. B. M. Saiful Islam Symbolic Regression Model for Predicting Compression Strength of Prismatic Masonry Columns Confined by FRP Buildings fiber reinforced polymer strength confinement symbolic regression model masonry genetic programming |
| title | Symbolic Regression Model for Predicting Compression Strength of Prismatic Masonry Columns Confined by FRP |
| title_full | Symbolic Regression Model for Predicting Compression Strength of Prismatic Masonry Columns Confined by FRP |
| title_fullStr | Symbolic Regression Model for Predicting Compression Strength of Prismatic Masonry Columns Confined by FRP |
| title_full_unstemmed | Symbolic Regression Model for Predicting Compression Strength of Prismatic Masonry Columns Confined by FRP |
| title_short | Symbolic Regression Model for Predicting Compression Strength of Prismatic Masonry Columns Confined by FRP |
| title_sort | symbolic regression model for predicting compression strength of prismatic masonry columns confined by frp |
| topic | fiber reinforced polymer strength confinement symbolic regression model masonry genetic programming |
| url | https://www.mdpi.com/2075-5309/13/2/509 |
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