Examinando por Materia "Variabilidad espacial"

Mostrando 1 - 4 de 4
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    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 Felipe
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    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 Eliécer
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    Mediciones de campo, variabilidad espacial y susceptibilidad a la licuación
    (Universidad EAFIT, 2021) Álvarez Zapata, Juliana; Montoya Noguera, Silvana
    Geotechnical 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.
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    Modelación estocástica de la consolidación unidimensional en suelos mediante campos aleatorios basados en datos experimentales : aplicación en depósitos aluviales de Montería, Colombia
    (Universidad EAFIT, 2025) Doria Narváez, Manuel Santiago; Ruiz Restrepo, Daniel Felipe
    This research investigates the consolidation behavior of soft soils by explicitly considering the spatial variability of their properties, based on experimental data collected in an urban expansion area of Montería, Colombia. The vertical hydraulic conductivity and compressibility modulus parameters are characterized through laboratory testing, and spatial models are fitted using geostatistical analysis. Based on these models, random fields are generated and incorporated into a one-dimensional consolidation model solved using the finite difference method. Monte Carlo simulations are performed to evaluate the variability in consolidation time under different drainage and spatial correlation conditions. The results show that using a stochastic model provides a more realistic representation of soil behavior, revealing significant levels of uncertainty that deterministic approaches fail to capture. The study demonstrates that the integration of real data, spatial modeling, and probabilistic simulation offers more reliable criteria for geotechnical design in heterogeneous natural contexts.