Examinando por Materia "Variabilidad espacial"
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Publicación Análisis estocástico de los tiempos de consolidación considerando la variabilidad espacial de los parámetros hidromecánicos del suelo(Universidad EAFIT, 2024) Pizarro Fernández, Jesús David; Ruiz Restrepo, Daniel FelipeÍtem Caracterización de un yacimiento de Caolín para la industria cerámica en el municipio de La Unión, Antioquia(Universidad EAFIT, 2024) Acevedo Duque, Ana María; Álvarez Pérez, Johann EliécerÍtem Mediciones de campo, variabilidad espacial y susceptibilidad a la licuación(Universidad EAFIT, 2021) Álvarez Zapata, Juliana; Montoya Noguera, SilvanaGeotechnical designs can be developed with better approximations by understanding the spatial variability of the soil. However, having a complete geotechnical characterization, which also accounts for soil variability, could incur large costs for projects. The present study integrates random field theory in geotechnics, Bayesian compressive sensing, and Monte Carlo simulation for the generation of 2D simulations to obtain a representation of the variability of soil properties. This study takes as input data limited measurements of the CPTu cone penetration test. During the study, a complete site characterization was achieved that included, in addition to the spatial variability of the soil, the knowledge of geotechnical design and behavioral parameters. Finally, the estimated spatial variability could be incorporated in the assessment of liquefaction susceptibility. It was possible to validate that the variability represented and characterized by means of random fields depends completely on the variability recorded in the site and that the effect of spatial variability is more important in the evaluation of liquefaction susceptibility when there are lower earthquakes accelerations. This work points out the need to continue studying and developing methodologies that allow understanding with increasingly better approximations the role of spatial variability in the behavior of liquefaction susceptible soils, migrating to numerical methods that integrate its spatial effects and also conclude on the need to include the uncertainty associated to the empirical correlations in the generation of random fields.