Indirect In-situ Tests During the Execution of Deep Foundations: Relating the Excavation Energies to the Young’s Moduli of the Surrounding Soils

Ozelim, Luan Carlos de Sena Monteiro; Campos, Darym Júnior Ferrari de; Carvalho, José Camapum de; Cavalcante, André Luís Brasil

doi:10.1007/978-3-030-01902-0_16

Cited by 2 publications

(10 citation statements)

References 7 publications

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“…Li and Itakura [12] proposed an analytical model to describe rock drilling processes using drag bits and rotary drills, and to deduce the relations among rock properties, bit shapes, and drilling parameters (rotary speed, thrust, torque and stroke). These authors then could estimate the unconfined compressive strength (UCS) of rocks from drilling data [1].…”

Section: Obtaining Strength and Deformability Parameters Of Soils Fro...mentioning

confidence: 99%

“…This is because constitutive models are dependent on specific parameters that are only assessed during such testing. In general, foundation design must account for strength and deformability parameters, which are often achieved through laboratory or in situ measurements [1].…”

Section: Introductionmentioning

confidence: 99%

“…Controlling environmental variables, such as confining pressure and temperature, may result in more trustworthy results, which is an advantage of laboratory tests. However, these tests may not be appropriate, particularly when undisturbed samples are required [1].…”

Section: Introductionmentioning

confidence: 99%

“…When cost is an issue, in situ tests are an excellent option because they are normally less expensive than laboratory procedures. However, this price decrease is accompanied by reduced control over environmental variables and experimental techniques, which may result in poorly executed or poorly situated tests [1].…”

Section: Introductionmentioning

confidence: 99%

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An Energy-Based Big Data Framework to Estimate the Young’s Moduli of the Soils Drilled during the Execution of Continuous Flight Auger Piles

Ozelim

Campos

Cavalcante

et al. 2023

Axioms

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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.

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Section: Obtaining Strength and Deformability Parameters Of Soils Fro...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Energy-Based Big Data Framework to Estimate the Young’s Moduli of the Soils Drilled during the Execution of Continuous Flight Auger Piles

Ozelim

Campos

Cavalcante

et al. 2023

Axioms

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show abstract

“…In some cases, even when test data are not available, engineers can obtain data from unavoidable construction procedures and transform it into the parameters needed to model the soil behavior [9]. These parameter estimation procedures can be systematized as traditional workflows for big data (BD), which normally consist of the following stages: data mining from data sources, data management, data modeling and result analysis and visualization [10].…”

Section: Introductionmentioning

confidence: 99%

Estimating Shear Strength Properties of the Surrounding Soils Based on the Execution Energies of Piles

Ozelim

Campos²,

Cavalcante³

et al. 2022

Geotechnics

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Historically, empirical relations are the basis of everyday foundation design. These relations, however, rely on specific datasets, which may not represent the true conditions observed in the field. Even in situ tests rely on empirical correlation formulas, which link observed phenomena to soil properties. These correlations should be updated according to the specific design conditions. Big data (BD) workflows enable the use of massive data available to update the correlations and to provide more accurate predictions of the parameters studied. Thus, in this paper, a BD approach is used to study the relation between the drilling process of continuous flight auger piles and the shear strength properties (SSPs) of the surrounding soils. Soil surveys were carried out to identify the soil strata in the site and to validate the estimates of the SSPs. The results show that indirect measurements are in accordance with typical undrained shear strength and friction angles of the materials considered.

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Indirect In-situ Tests During the Execution of Deep Foundations: Relating the Excavation Energies to the Young’s Moduli of the Surrounding Soils

Cited by 2 publications

References 7 publications

An Energy-Based Big Data Framework to Estimate the Young’s Moduli of the Soils Drilled during the Execution of Continuous Flight Auger Piles

An Energy-Based Big Data Framework to Estimate the Young’s Moduli of the Soils Drilled during the Execution of Continuous Flight Auger Piles

Estimating Shear Strength Properties of the Surrounding Soils Based on the Execution Energies of Piles

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