2021-04-162018-01-011879341X17949165WOS;000418967400016SCOPUS;2-s2.0-85033585824http://hdl.handle.net/10784/29204A binary mixture homogenization model is proposed for predicting the effects on liquefaction-induced settlement after soil improvement based on the consideration of the added spatial variability between the natural and the treated soil. A 2D finite element model of an inelastic structure founded on a shallow foundation was coupled with a binary random field. Nonlinear soil behavior is used and the model is tested for different mesh size, model parameters and input motions. Historical evidence as well as physical and numerical modeling indicate that improved sites present less liquefaction and ground deformation. In most cases this improvement is modeled as homogeneous; however, in-situ measurements evidence the high level of heterogeneity in the deposit. Inherent spatial variability in the soil and the application of some soil improvement techniques such as biogrouting and Bentonite permeations will necessary introduce heterogeneity in the soil deposit shown as clusters of the treated material in the natural soil. Hence, in this study, improvement zones are regarded as a two-phase mixture that will present a nonlinear relation due to the level of complexity of seismic liquefaction and the consequent settlement in a structure. This relation is greatly affected by the mechanical behavior of the soils used and the input motion. The effect on the latter can be efficiently related to the equivalent wave period as the proposed homogenization model depends on the stiffness demand of the input motion. © 2017 Elsevier Ltdenghttps://v2.sherpa.ac.uk/id/publication/issn/0267-7261info:eu-repo/semantics/articleBinary mixturesBinsDepositsFinite element methodHomogenization methodMixturesRisk analysisRisk assessmentSeismologySoilsBinary random fieldsIn-situ measurementMechanical behaviorMixture homogenizationsNonlinear soil behaviorSeismic liquefactionSoil improvementSpatial variabilitySoil liquefactionfinite element methodground settlementin situ measurementliquefactionnumerical modelrisk assessmentseismicitysoil improvementspatial variation2021-04-16Montoya-Noguera, SilvanaLopez-Caballero, Fernando10.1016/j.soildyn.2017.10.009