| Campo DC | Valor | Idioma |
|---|
| dc.contributor.author | Ozelim, Luan Carlos de Sena Monteiro | - |
| dc.contributor.author | Campos, Darym Júnior Ferrari de | - |
| dc.contributor.author | Cavalcante, André Luís Brasil | - |
| dc.contributor.author | Carvalho, José Camapum de | - |
| dc.date.accessioned | 2023-10-16T14:15:54Z | - |
| dc.date.available | 2023-10-16T14:15:54Z | - |
| dc.date.issued | 2023-03-31 | - |
| dc.identifier.citation | OZELIM, Luan Carlos de Sena Monteiro et al. An energy-based big data framework to estimate the young’s moduli of the soils drilled during the execution of continuous flight auger piles. Axioms, v. 12, n. 4, 340, 2023. DOI: https://doi.org/10.3390/axioms12040340. Disponível em: https://www.mdpi.com/2075-1680/12/4/340. Acesso em: 16 out. 2023. | pt_BR |
| dc.identifier.uri | http://repositorio2.unb.br/jspui/handle/10482/46679 | - |
| dc.language.iso | eng | pt_BR |
| dc.publisher | MDPI | pt_BR |
| dc.rights | Acesso Aberto | pt_BR |
| dc.title | An energy-based big data framework to estimate the young’s moduli of the soils drilled during the execution of continuous flight auger piles | pt_BR |
| dc.type | Artigo | pt_BR |
| dc.subject.keyword | Big data | pt_BR |
| dc.subject.keyword | Engenharia de fundações | pt_BR |
| dc.subject.keyword | Estacaria (Engenharia civil) | pt_BR |
| dc.rights.license | Copyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). | pt_BR |
| dc.identifier.doi | https://doi.org/10.3390/axioms12040340 | pt_BR |
| dc.description.abstract1 | Understanding the soil mass and how it behaves is determinant to the quality and reliability
of a foundation design. Normally, such behavior is predicted based on laboratory and in situ tests. In
the big data era, instead of executing more tests, engineers should understand how to take advantage
of ordinary execution procedures to obtain the parameters of interest. Sensors are key components
in engineering big data frameworks, as they provide a large number of valuable measured data. In
particular, the building process (excavation and concreting) of continuous flight auger piles (CFAPs)
can be fully monitored by collecting data from sensors in the drilling machine. This makes this type
of pile an ideal candidate to utilize a big data methodology to indirectly obtain some constitutive
parameters of the soil being drilled. Thus, in the present paper, the drilling process of CFAPs is
modeled by a new physical model which predicts the energy spending during the execution of
this type of pile. This new model relies on other fundamental properties of the soils drilled, such
as unit weight, cohesion and internal friction angle. In order to show the applicability of the big
data methodological framework hereby developed, a case study was conducted. A work site in
Brasília-DF, Brazil, was studied and the execution of three CFAPs was monitored. Soil surveys were
carried out to identify the soil strata in the site and, therefore, to validate the estimates of Young’s
moduli provided by the new formulas. The 95% confidence intervals of Young’s moduli obtained for
silty clay, clayey silt and silt were, in MPa, [14.56, 19.11], [12.26, 16.88] and [19.65, 26.11], respectively.
These intervals are consistent with literature reports for the following materials: stiff to very stiff clays
with low-medium plasticity, medium silts with slight plasticity, and stiff to very stiff silts with low
plasticity, respectively. These were the types of materials observed during the site surveys; therefore,
the results obtained are consistent with literature reports as well as with field surveys. This new
framework may be useful to provide real-time estimates of the drilled soil’s parameters, as well
as updating CFAPs designs during their execution. This way, sustainable designs can be achieved,
where substrata materials are better characterized, avoiding over-designed structures. | pt_BR |
| dc.identifier.orcid | https://orcid.org/0000-0002-2581-0486 | pt_BR |
| dc.identifier.orcid | https://orcid.org/0000-0002-7128-3752 | pt_BR |
| dc.identifier.orcid | https://orcid.org/0000-0003-4980-1450 | pt_BR |
| dc.identifier.orcid | https://orcid.org/0000-0003-4155-4694 | pt_BR |
| dc.contributor.affiliation | University of Brasilia, Department of Civil and Environmental Engineering | pt_BR |
| dc.description.unidade | Faculdade de Tecnologia (FT) | pt_BR |
| dc.description.unidade | Departamento de Engenharia Civil e Ambiental (FT ENC) | pt_BR |
| Aparece nas coleções: | Artigos publicados em periódicos e afins
|
