ANN-Based Shear Capacity of Steel Fiber-Reinforced Concrete Beams without Stirrups
Comparing experimental results of the shear capacity of steel fiber-reinforced concrete (SFRC) beams without stirrups to the capacity predicted using current design equations and other available formulations shows that predicting the shear capacity of SFRC beams without mild steel shear reinforcemen...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-10-01
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| Series: | Fibers |
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| Online Access: | https://www.mdpi.com/2079-6439/7/10/88 |
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| author | Miguel Abambres Eva O.L. Lantsoght |
| author_facet | Miguel Abambres Eva O.L. Lantsoght |
| author_sort | Miguel Abambres |
| collection | DOAJ |
| description | Comparing experimental results of the shear capacity of steel fiber-reinforced concrete (SFRC) beams without stirrups to the capacity predicted using current design equations and other available formulations shows that predicting the shear capacity of SFRC beams without mild steel shear reinforcement is still difficult. The reason for this difficulty is the complex mechanics of the problem, where the steel fibers affect the different shear-carrying mechanisms. Since this problem is still not fully understood, we propose the use of artificial intelligence (AI) to derive an expression based on the available experimental data. We used a database of 430 datapoints obtained from the literature. The outcome is an artificial neural network-based expression to predict the shear capacity of SFRC beams without shear reinforcement. For this purpose, many thousands of artificial neural network (ANN) models were generated, based on 475 distinct combinations of 15 typical ANN features. The proposed “optimal” model results in maximum and mean relative errors of 0.0% for the 430 datapoints. The proposed model results in a better prediction (mean <i>V<sub>test</sub></i>/<i>V<sub>ANN</sub></i> = 1.00 with a coefficient of variation 1 × 10<sup>−15</sup>) as compared to the existing code expressions and other available empirical expressions, with the model by Kwak et al. giving a mean value of <i>V<sub>test</sub></i>/<i>V<sub>pred</sub></i> = 1.01 and a coefficient of variation of 27%. Until mechanics-based models are available for predicting the shear capacity of SFRC beams without shear reinforcement, the proposed model thus offers an attractive solution for estimating the shear capacity of SFRC beams without shear reinforcement. With this approach, designers who may be reluctant to use SFRC because of the large uncertainties and poor predictions of experiments, may feel more confident using the material for structural design. |
| first_indexed | 2024-04-11T12:19:07Z |
| format | Article |
| id | doaj.art-40d5bd52fdb147a788d4a41a78b9c343 |
| institution | Directory Open Access Journal |
| issn | 2079-6439 |
| language | English |
| last_indexed | 2024-04-11T12:19:07Z |
| publishDate | 2019-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fibers |
| spelling | doaj.art-40d5bd52fdb147a788d4a41a78b9c3432022-12-22T04:24:08ZengMDPI AGFibers2079-64392019-10-017108810.3390/fib7100088fib7100088ANN-Based Shear Capacity of Steel Fiber-Reinforced Concrete Beams without StirrupsMiguel Abambres0Eva O.L. Lantsoght1Abambres’ Lab, 1600-275 Lisbon, PortugalPolitécnico, Universidad San Francisco de Quito, Sector Cumbaya, EC 170157 Quito, EcuadorComparing experimental results of the shear capacity of steel fiber-reinforced concrete (SFRC) beams without stirrups to the capacity predicted using current design equations and other available formulations shows that predicting the shear capacity of SFRC beams without mild steel shear reinforcement is still difficult. The reason for this difficulty is the complex mechanics of the problem, where the steel fibers affect the different shear-carrying mechanisms. Since this problem is still not fully understood, we propose the use of artificial intelligence (AI) to derive an expression based on the available experimental data. We used a database of 430 datapoints obtained from the literature. The outcome is an artificial neural network-based expression to predict the shear capacity of SFRC beams without shear reinforcement. For this purpose, many thousands of artificial neural network (ANN) models were generated, based on 475 distinct combinations of 15 typical ANN features. The proposed “optimal” model results in maximum and mean relative errors of 0.0% for the 430 datapoints. The proposed model results in a better prediction (mean <i>V<sub>test</sub></i>/<i>V<sub>ANN</sub></i> = 1.00 with a coefficient of variation 1 × 10<sup>−15</sup>) as compared to the existing code expressions and other available empirical expressions, with the model by Kwak et al. giving a mean value of <i>V<sub>test</sub></i>/<i>V<sub>pred</sub></i> = 1.01 and a coefficient of variation of 27%. Until mechanics-based models are available for predicting the shear capacity of SFRC beams without shear reinforcement, the proposed model thus offers an attractive solution for estimating the shear capacity of SFRC beams without shear reinforcement. With this approach, designers who may be reluctant to use SFRC because of the large uncertainties and poor predictions of experiments, may feel more confident using the material for structural design.https://www.mdpi.com/2079-6439/7/10/88artificial neural networksbeamsdatabasedesign formulafiber-reinforced concreteshearsteel fibers |
| spellingShingle | Miguel Abambres Eva O.L. Lantsoght ANN-Based Shear Capacity of Steel Fiber-Reinforced Concrete Beams without Stirrups Fibers artificial neural networks beams database design formula fiber-reinforced concrete shear steel fibers |
| title | ANN-Based Shear Capacity of Steel Fiber-Reinforced Concrete Beams without Stirrups |
| title_full | ANN-Based Shear Capacity of Steel Fiber-Reinforced Concrete Beams without Stirrups |
| title_fullStr | ANN-Based Shear Capacity of Steel Fiber-Reinforced Concrete Beams without Stirrups |
| title_full_unstemmed | ANN-Based Shear Capacity of Steel Fiber-Reinforced Concrete Beams without Stirrups |
| title_short | ANN-Based Shear Capacity of Steel Fiber-Reinforced Concrete Beams without Stirrups |
| title_sort | ann based shear capacity of steel fiber reinforced concrete beams without stirrups |
| topic | artificial neural networks beams database design formula fiber-reinforced concrete shear steel fibers |
| url | https://www.mdpi.com/2079-6439/7/10/88 |
| work_keys_str_mv | AT miguelabambres annbasedshearcapacityofsteelfiberreinforcedconcretebeamswithoutstirrups AT evaollantsoght annbasedshearcapacityofsteelfiberreinforcedconcretebeamswithoutstirrups |