Uncertainty quantification in the bearing capacity estimation for shallow foundations in sandy soils

Viviescas, Juan Camilo; Mattos, Álvaro J.; Osorio, Juan Pablo

doi:10.1080/17499518.2020.1753782

Cited by 10 publications

(1 citation statement)

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“…the uncertainty in the measurements, in the data (limited information), and the model [14]. The uncertainty caused by the random behavior of the shear strength properties and the model's hypotheses can reduce the accuracy of the estimated bearing capacity, earth pressure coefficients, and slope stability analysis (e. g. [38]) Soil uncertainty is usually represented by the Standard deviation or the coefficient of variation (Cv). The latter is the ratio between the standard deviation over the mean.…”

Section: Uncertainty and Soil Variabilitymentioning

confidence: 99%

Probabilistic analysis of the active earth pressure on earth retaining walls for c-ϕ soils according to the Mazindrani and Ganjali method

Viviescas

Osorio

2021

Geo-Engineering

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The determination of the earth pressure coefficients (K) in geotechnical engineering is one of the most critical procedures in designing earth retaining walls. However, most earth pressure theories are made for either clay or sands, where the c-ϕ soils are the least analysed. In this paper, an analysis of the earth pressure for drained mixed soils based in Mazindrani and Ganjali (J Geotech Geoenviron Eng 123:110–112, 1997) theory was carried out. Earth pressure coefficients are generally used in a deterministic way and can represent designs under an inadmissible risk. Therefore, Reliability-based design arises as an essential tool to deal with soil variability as one of the main aspects of the geotechnical uncertainties. The influence of the soil variability in the active earth pressure for a c-ϕ soil was performed through probabilistic analysis concerning the Ka coefficient of variation (Cv) of both shear strength parameters. The sensitivity analysis shows a Cv in which the cohesion begins to have a more significant correlation with Ka than the friction angle. The results show an increase of the statistical Ka concerning the deterministic value as the soil variability and the soil slope (β) increase. Although the statistical value does not increase significantly, a statistical analysis on gravity walls and sheet pile walls in c-ϕ soils shows a significant probability of failure (pf) increase. The pf obtained through the c-ϕ variability can be considered inadmissible even if the required FS are met.

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Section: Uncertainty and Soil Variabilitymentioning

confidence: 99%