Bibliographic citations
Agreda, E., Llajaruna, D. (2022). Aplicación de métodos estadísticos para la estimación de parámetros geotécnicos en los suelos del distrito Víctor Larco Herrera - Provincia de Trujillo - Departamento La Libertad [Tesis, Universidad Privada Antenor Orrego]. https://hdl.handle.net/20.500.12759/8999
Agreda, E., Llajaruna, D. Aplicación de métodos estadísticos para la estimación de parámetros geotécnicos en los suelos del distrito Víctor Larco Herrera - Provincia de Trujillo - Departamento La Libertad [Tesis]. PE: Universidad Privada Antenor Orrego; 2022. https://hdl.handle.net/20.500.12759/8999
@misc{renati/378264,
title = "Aplicación de métodos estadísticos para la estimación de parámetros geotécnicos en los suelos del distrito Víctor Larco Herrera - Provincia de Trujillo - Departamento La Libertad",
author = "Llajaruna Anticona, Dilver Roberth",
publisher = "Universidad Privada Antenor Orrego",
year = "2022"
}
The selection of soil properties for use in geotechnical evaluation is often based on subjective judgment and accumulated experience. Uncertainties in soil properties are only indirectly accounted for when choosing characteristic (design) values. Statistics and probability are useful tools for the quantification of the mean (most likely and/or expected) value and possible range of values of a parameter. Statistical and probabilistic methods can quantify uncertainties and make it possible to explain them in a rational and consistent way. However, they are rarely used in practice to establish soil design parameters. In Peru, these statistical methods are still little used and in order to disseminate them, in this work carried out by the bachelors Agreda Padilla, Elton John and Llajaruna Anticona, Dilver Roberth, an analysis of the determination of the characteristic values of geotechnical parameters through laboratory tests of soil studies is presented. For this purpose, a geotechnical management system has been designed based initially on the identification of geological formations and their grouping into sufficiently homogeneous geotechnical layers. An extensive coding of stratigraphic levels of boreholes and undisturbed soil samples has been carried out, assigning to each of them a label or code that allows their geotechnical classification and the subsequent statistical management of the data. Statistical inference techniques have been used to estimate the characteristic value of each geotechnical parameter from a data sample (mean value of the population, with a confidence level of 95%), which depends mainly on the size of the sample, the type of parameter analyzed and the homogeneity of the soil. For this reason, it was essential to adequately classify the soils into geotechnical units and to have sufficiently large data series.
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