Multiple linear regression models for shear strength prediction and design of simplysupported deep beams subjected to symmetrical point loads
Because of nonlinear strain distributions caused either by abrupt changes in geometry or in loading in deep beam, the approach for conventional beams is not applicable. Consequently, strut-and-tie model (STM) has been applied as the most rational and simple method for strength prediction and design...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Khon Kaen University
2015-09-01
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| Series: | KKU Engineering Journal |
| Subjects: | |
| Online Access: | https://www.tci-thaijo.org/index.php/kkuenj/article/download/38294/31744 |
| _version_ | 1828942585002983424 |
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| author | Panatchai Chetchotisak Jaruek Teerawong Sukit Yindeesuk |
| author_facet | Panatchai Chetchotisak Jaruek Teerawong Sukit Yindeesuk |
| author_sort | Panatchai Chetchotisak |
| collection | DOAJ |
| description | Because of nonlinear strain distributions caused either by abrupt changes in geometry or in loading in deep beam, the approach for conventional beams is not applicable. Consequently, strut-and-tie model (STM) has been applied as the most rational and simple method for strength prediction and design of reinforced concrete deep beams. A deep beam is idealized by the STM as a truss-like structure consisting of diagonal concrete struts and tension ties. There have been numerous works proposing the STMs for deep beams. However, uncertainty and complexity in shear strength computations of deep beams can be found in some STMs. Therefore, improvement of methods for predicting the shear strengths of deep beams are still needed. By means of a large experimental database of 406 deep beam test results covering a wide range of influencing parameters, several shapes and geometry of STM and six state-of-the-art formulation of the efficiency factors found in the design codes and literature, the new STMs for predicting the shear strength of simply supported reinforced concrete deep beams using multiple linear regression analysis is proposed in this paper. Furthermore, the regression diagnostics and the validation process are included in this study. Finally, two numerical examples are also provided for illustration. |
| first_indexed | 2024-12-14T03:58:03Z |
| format | Article |
| id | doaj.art-8fe9368a252b472ea4949615ddd07b47 |
| institution | Directory Open Access Journal |
| issn | 0125-8273 2286-9433 |
| language | English |
| last_indexed | 2024-12-14T03:58:03Z |
| publishDate | 2015-09-01 |
| publisher | Khon Kaen University |
| record_format | Article |
| series | KKU Engineering Journal |
| spelling | doaj.art-8fe9368a252b472ea4949615ddd07b472022-12-21T23:18:02ZengKhon Kaen UniversityKKU Engineering Journal0125-82732286-94332015-09-0142321922510.14456/kkuenj.2015.23Multiple linear regression models for shear strength prediction and design of simplysupported deep beams subjected to symmetrical point loadsPanatchai Chetchotisak Jaruek Teerawong Sukit YindeesukBecause of nonlinear strain distributions caused either by abrupt changes in geometry or in loading in deep beam, the approach for conventional beams is not applicable. Consequently, strut-and-tie model (STM) has been applied as the most rational and simple method for strength prediction and design of reinforced concrete deep beams. A deep beam is idealized by the STM as a truss-like structure consisting of diagonal concrete struts and tension ties. There have been numerous works proposing the STMs for deep beams. However, uncertainty and complexity in shear strength computations of deep beams can be found in some STMs. Therefore, improvement of methods for predicting the shear strengths of deep beams are still needed. By means of a large experimental database of 406 deep beam test results covering a wide range of influencing parameters, several shapes and geometry of STM and six state-of-the-art formulation of the efficiency factors found in the design codes and literature, the new STMs for predicting the shear strength of simply supported reinforced concrete deep beams using multiple linear regression analysis is proposed in this paper. Furthermore, the regression diagnostics and the validation process are included in this study. Finally, two numerical examples are also provided for illustration.https://www.tci-thaijo.org/index.php/kkuenj/article/download/38294/31744Deep beamEfficiency factorMultiple regressionStrut-and-tie model |
| spellingShingle | Panatchai Chetchotisak Jaruek Teerawong Sukit Yindeesuk Multiple linear regression models for shear strength prediction and design of simplysupported deep beams subjected to symmetrical point loads KKU Engineering Journal Deep beam Efficiency factor Multiple regression Strut-and-tie model |
| title | Multiple linear regression models for shear strength prediction and design of simplysupported deep beams subjected to symmetrical point loads |
| title_full | Multiple linear regression models for shear strength prediction and design of simplysupported deep beams subjected to symmetrical point loads |
| title_fullStr | Multiple linear regression models for shear strength prediction and design of simplysupported deep beams subjected to symmetrical point loads |
| title_full_unstemmed | Multiple linear regression models for shear strength prediction and design of simplysupported deep beams subjected to symmetrical point loads |
| title_short | Multiple linear regression models for shear strength prediction and design of simplysupported deep beams subjected to symmetrical point loads |
| title_sort | multiple linear regression models for shear strength prediction and design of simplysupported deep beams subjected to symmetrical point loads |
| topic | Deep beam Efficiency factor Multiple regression Strut-and-tie model |
| url | https://www.tci-thaijo.org/index.php/kkuenj/article/download/38294/31744 |
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