Experimental for the validation of Artificial Intelligence model energy absorption capacity of UHPFRC
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad Nacional de Colombia
2021
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| _version_ | 1876454889043787776 |
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| author | Joaquín Abellán-García |
| author_facet | Joaquín Abellán-García |
| contents | Experimental for the validation of Artificial Intelligence model energy absorption capacity of UHPFRC Joaquín Abellán-García Juan Sebastian Guzmán-Guzmán Jairo Alfredo Sánchez-Díaz Julián Rojas-Grillo Ingeniería ANN UHPFRC modelling direct tensile test energy absorption capacity This paper investigates the performance of an artificial neural network (ANN) model in predicting the energy absorption capacity (g) of ultra-high-performance fiber reinforced concrete (UHPFRC) under direct tensile test. To avoid overfitting a data division into test and training datasets was carried out. Thereafter the neural networks were trained on the training dataset by using k-fold validation and the result model was evaluated on the test dataset. The model was capable of consider one-fiber or hybrid-two-fibers-blend as reinforced UHPFRC, of a wide range of fibers such as straight steel fibers, hooked end steel fibers, twisted steel fibers, PVA fibers, polyethylene fibers and polypropylene fibers. Experimental works were performed to validate the accuracy of the model on real data. The results demonstrated the efficiency of the model, according to the statistical parameters used for their evaluation, the accuracy and the versatility of the model when new data in considered. 2021 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49671281018 https://www.redalyc.org/journal/496/49671281018/ https://www.redalyc.org/journal/496/49671281018/html/ https://www.redalyc.org/journal/496/49671281018/49671281018.epub https://www.redalyc.org/journal/496/49671281018/movil 10.15446/dyna.v88n217.86961 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.217 Vol.88 |
| format | Artículo científico |
| id | redalyc_49671281018 |
| institution | Redalyc |
| language | en |
| publishDate | 2021 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Experimental for the validation of Artificial Intelligence model energy absorption capacity of UHPFRC Joaquín Abellán-García Ingeniería ANN UHPFRC modelling direct tensile test energy absorption capacity Experimental for the validation of Artificial Intelligence model energy absorption capacity of UHPFRC Joaquín Abellán-García Juan Sebastian Guzmán-Guzmán Jairo Alfredo Sánchez-Díaz Julián Rojas-Grillo Ingeniería ANN UHPFRC modelling direct tensile test energy absorption capacity This paper investigates the performance of an artificial neural network (ANN) model in predicting the energy absorption capacity (g) of ultra-high-performance fiber reinforced concrete (UHPFRC) under direct tensile test. To avoid overfitting a data division into test and training datasets was carried out. Thereafter the neural networks were trained on the training dataset by using k-fold validation and the result model was evaluated on the test dataset. The model was capable of consider one-fiber or hybrid-two-fibers-blend as reinforced UHPFRC, of a wide range of fibers such as straight steel fibers, hooked end steel fibers, twisted steel fibers, PVA fibers, polyethylene fibers and polypropylene fibers. Experimental works were performed to validate the accuracy of the model on real data. The results demonstrated the efficiency of the model, according to the statistical parameters used for their evaluation, the accuracy and the versatility of the model when new data in considered. 2021 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49671281018 https://www.redalyc.org/journal/496/49671281018/ https://www.redalyc.org/journal/496/49671281018/html/ https://www.redalyc.org/journal/496/49671281018/49671281018.epub https://www.redalyc.org/journal/496/49671281018/movil 10.15446/dyna.v88n217.86961 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.217 Vol.88 |
| title | Experimental for the validation of Artificial Intelligence model energy absorption capacity of UHPFRC |
| topic | Ingeniería ANN UHPFRC modelling direct tensile test energy absorption capacity |
| url | https://www.redalyc.org/articulo.oa?id=49671281018 https://www.redalyc.org/journal/496/49671281018/ https://www.redalyc.org/journal/496/49671281018/html/ https://www.redalyc.org/journal/496/49671281018/49671281018.epub https://www.redalyc.org/journal/496/49671281018/movil |