Automatic determination of the Atterberg limits with machine learning

  1. David Antonio Rosas 1
  2. Daniel Burgos 1
  3. Jhon Willian Branch Bedoya 2
  4. Alberto Corbí 1
  1. 1 Research Institute for Innovation & Technology in Education (UNIR iTED), Universidad Internacional de La Rioja (UNIR), Logroño, La Rioja, Spain.
  2. 2 Universidad Nacional de Colombia, Sede Medellín, Facultad de Minas, Departamento de Ciencias de la Computación y de la Decisión, Medellín.
Aldizkaria:
DYNA: revista de la Facultad de Minas. Universidad Nacional de Colombia. Sede Medellín

ISSN: 0012-7353

Argitalpen urtea: 2022

Alea: 89

Zenbakia: 224

Orrialdeak: 34-42

Mota: Artikulua

DOI: 10.15446/DYNA.V89N224.102619 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Beste argitalpen batzuk: DYNA: revista de la Facultad de Minas. Universidad Nacional de Colombia. Sede Medellín

Garapen Iraunkorreko Helburuak

Laburpena

In this study, we determine the liquid limit (����), plasticity index (PI), and plastic limit (����) of several natural fine-grained soil sampleswith the help of machine-learning and statistical methods. This enables us to locate each soil type analysed in the Casagrande plasticitychart 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, ����=(9. 94± 4.2)+(2. 25 ± 0.3)∙����4.2,PI=(−20.47± 5.6)+(1. 48 ± 0.3)∙����4.2+(0. 21± 0.1)∙��, and ����=(23.32± 3.5)+(0. 60 ± 0.2)∙����4.2−(0. 13± 0.04)∙��. So that, we propose an alternative, automatic, multi-sample, and static method to address current issues on Atterberg limitsdetermination with standardised tests.

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