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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad Nacional de Colombia
2022
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| Accesso online: | https://www.redalyc.org/articulo.oa?id=49677393004 https://www.redalyc.org/journal/496/49677393004/ https://www.redalyc.org/journal/496/49677393004/html/ https://www.redalyc.org/journal/496/49677393004/49677393004.epub https://www.redalyc.org/journal/496/49677393004/movil |
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Sommario:
- Automatic determination of the Atterberg limits with machine learning David Antonio Rosas Daniel Burgos John Willian Branch Alberto Corbi Ingeniería soils pressure determination Machine learning Atterberg limits In this study, we determine the liquid limit (W1), plasticity index (PI), and plastic limit (Wp) of several natural fine-grained soil samples with the help of machine-learning and statistical methods. This enables us to locate each soil type analysed in the Casagrande plasticity chart with a single measure in pressure-membrane extractors. These machine-learning models showed adjustments in the determination of the liquid limit for design purposes when compared with standardised methods. Similar adjustments were achieved in the determination of the plasticity index, whereas the plastic limit determinations were applicable for control works. Because the best techniques were based in Multiple Linear Regression and Support Vector Machines Regression, they provide explainable plasticity models. In this sense, Wl = (9.94 ± 4.2) + (2.25 ± 0.3) ∙pF4.2, PI = (-20.47 ± 5.6) + (1.48 ± 0.3) ∙pF4.2 + (0.21 ± 0.1) ∙F, and Wp = (23.32 ± 3.5) + (0.60 ± 0.2) ∙pF4.2 - (0.13 ± 0.04) ∙F. So that, we propose an alternative, automatic, multi-sample, and static method to address current issues on Atterberg limits determination with standardised tests. 2022 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49677393004 https://www.redalyc.org/journal/496/49677393004/ https://www.redalyc.org/journal/496/49677393004/html/ https://www.redalyc.org/journal/496/49677393004/49677393004.epub https://www.redalyc.org/journal/496/49677393004/movil 10.15446/dyna.v89n224.102619 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.224 Vol.89