Compressive Strength Prediction Using the ANN Method for FRP Confined Rectangular Concrete Columns
Fiber Reinforced Polymer (FRP) was extensively employed as external confinement to strengthen the RC structures. Substantial studies were carried out in order to assess a more exact formula for measuring the strength enhancement of such strengthens concrete columns. A database from several experimen...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Semnan University
2019-11-01
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| Series: | Journal of Rehabilitation in Civil Engineering |
| Subjects: | |
| Online Access: | https://civiljournal.semnan.ac.ir/article_3449_65e391ff177cfef6f8d97a38a6860aa7.pdf |
| _version_ | 1818157135440117760 |
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| author | Yasser Sharifi Forogh Lotfi Adel Moghbeli |
| author_facet | Yasser Sharifi Forogh Lotfi Adel Moghbeli |
| author_sort | Yasser Sharifi |
| collection | DOAJ |
| description | Fiber Reinforced Polymer (FRP) was extensively employed as external confinement to strengthen the RC structures. Substantial studies were carried out in order to assess a more exact formula for measuring the strength enhancement of such strengthens concrete columns. A database from several experimental tests was gathered. A comparison between the experimental values and existing formulae called an urgent need for a more exact formula. Therefore, the aim of this paper is to develop an exact formula based artificial neural networks (ANNs), and to present the strength enhancement. The ANN-based method was simulated in consonance with the collected database and an exact formula generated. The proposed formula was compared to current formulae employing the gathered database. The results revealed that the new formula based ANN gives the best accuracy than others. A sensitivity analysis based on Garson’s algorithm was generated for indicating the value of each applied variable. |
| first_indexed | 2024-12-11T15:09:23Z |
| format | Article |
| id | doaj.art-b2640953d7eb44e0b884adcda58794ed |
| institution | Directory Open Access Journal |
| issn | 2345-4415 2345-4423 |
| language | English |
| last_indexed | 2024-12-11T15:09:23Z |
| publishDate | 2019-11-01 |
| publisher | Semnan University |
| record_format | Article |
| series | Journal of Rehabilitation in Civil Engineering |
| spelling | doaj.art-b2640953d7eb44e0b884adcda58794ed2022-12-22T01:00:48ZengSemnan UniversityJournal of Rehabilitation in Civil Engineering2345-44152345-44232019-11-017413415310.22075/jrce.2018.14362.12603449Compressive Strength Prediction Using the ANN Method for FRP Confined Rectangular Concrete ColumnsYasser Sharifi0Forogh Lotfi1Adel Moghbeli2Associate Professor, Department of Civil Engineering, Vali-e-Asr University of Rafsanjan, IranMaster of Structures, Faculty of Engineering, Institute of Higher Education Allameh Jafari Rafsanjan, IranMaster of Structures, Department of Civil Engineering, Vali-e-Asr University of Rafsanjan, IranFiber Reinforced Polymer (FRP) was extensively employed as external confinement to strengthen the RC structures. Substantial studies were carried out in order to assess a more exact formula for measuring the strength enhancement of such strengthens concrete columns. A database from several experimental tests was gathered. A comparison between the experimental values and existing formulae called an urgent need for a more exact formula. Therefore, the aim of this paper is to develop an exact formula based artificial neural networks (ANNs), and to present the strength enhancement. The ANN-based method was simulated in consonance with the collected database and an exact formula generated. The proposed formula was compared to current formulae employing the gathered database. The results revealed that the new formula based ANN gives the best accuracy than others. A sensitivity analysis based on Garson’s algorithm was generated for indicating the value of each applied variable.https://civiljournal.semnan.ac.ir/article_3449_65e391ff177cfef6f8d97a38a6860aa7.pdfanncompressive strengthfrp confined rectangular concrete columnsgarson’s algorithm |
| spellingShingle | Yasser Sharifi Forogh Lotfi Adel Moghbeli Compressive Strength Prediction Using the ANN Method for FRP Confined Rectangular Concrete Columns Journal of Rehabilitation in Civil Engineering ann compressive strength frp confined rectangular concrete columns garson’s algorithm |
| title | Compressive Strength Prediction Using the ANN Method for FRP Confined Rectangular Concrete Columns |
| title_full | Compressive Strength Prediction Using the ANN Method for FRP Confined Rectangular Concrete Columns |
| title_fullStr | Compressive Strength Prediction Using the ANN Method for FRP Confined Rectangular Concrete Columns |
| title_full_unstemmed | Compressive Strength Prediction Using the ANN Method for FRP Confined Rectangular Concrete Columns |
| title_short | Compressive Strength Prediction Using the ANN Method for FRP Confined Rectangular Concrete Columns |
| title_sort | compressive strength prediction using the ann method for frp confined rectangular concrete columns |
| topic | ann compressive strength frp confined rectangular concrete columns garson’s algorithm |
| url | https://civiljournal.semnan.ac.ir/article_3449_65e391ff177cfef6f8d97a38a6860aa7.pdf |
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