2019
DOI: 10.1016/j.enggeo.2018.12.006
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A single-objective EPR based model for creep index of soft clays considering L2 regularization

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Cited by 62 publications
(35 citation statements)
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“…CT Image (cm) of secondary compression C α can be described by I p using a linear function (Mesri et al, 1973;Nakase et al, 1989;Jin et al, 2019). This implies that the shear-zone soil may exhibit high creep potential under certain loading conditions.…”
Section: Test Materialsmentioning
confidence: 99%
“…CT Image (cm) of secondary compression C α can be described by I p using a linear function (Mesri et al, 1973;Nakase et al, 1989;Jin et al, 2019). This implies that the shear-zone soil may exhibit high creep potential under certain loading conditions.…”
Section: Test Materialsmentioning
confidence: 99%
“…Parameters used in the simulations are summarised in Table 2. The first five parameters are collected from the literature, while the parameters v i and α are obtained through optimization methods [16,50,51] to gain the best match with experimental results.…”
Section: Validation With Experimental Datamentioning
confidence: 99%
“…Tim studied the performance of the variable rate of strain VRS Odometer test for determination of creep properties of a sensitive soft clay [4]. Jin et al proposed a robust and effective evolutionary polynomial regression model for the correlation of creep index [5]. However, previous studies focused more on the relationship between the material composition and deformation of soil, and rarely combined with the groundwater change mode to explore creep characteristics of soil [6].…”
Section: Introductionmentioning
confidence: 99%