A probabilistic assessment for porous consolidation of clays

Abstract

In this study, the quantitative effect of the random distribution of the soil material properties to the probability density functions of the soil displacements is presented. A numerical tool of FEM model with Modified Cam Clay criterion is used for this scope. Various assumptions for the random distribution of the compressibility factor , of the constitutive relation, the critical state line inclination c of the soil, and the permeability k have been tested and assessed with Monte Carlo simulation. It is portrayed that in porous problems the coefficient of variation (CV) of the output is always smaller than the CV of the input. Also, the output distribution remains Gaussian despite the nonlinear relation between input and output variables. Consequently, in porous consolidation problems, the maximum displacement of the soil can be predicted with smaller uncertainty and thus the soil structure interaction design is more accurate.

Field Testing and Numerical Simulation of the Effectiveness of Trench Isolation for Reducing Vibration Due to Dynamic Compaction

“…The Mohr-Coulomb criterion was utilized in the model to capture the nonlinearity of the soil. Although some more complex soil constitutive models, such as the modified cam clay model (MCC) [36] and the model for structured soils (MSS) [37], are considered more suitable for soils under dynamic loads, they require more complex experiments to obtain the relevant parameters. Moreover, in existing research, such as Mei et al, the Mohr-Coulomb yield criterion has been used to simulate the dynamic compaction process and yielded satisfactory results.…”

A computational study on the uncertainty quantification of failure of clays with a modified Cam-Clay yield criterion

“…The algorithm is theoretically set, proved and compared with the classic intersection method. The goal of the present paper, which is an extension of previous work by the authors [51], is to quantify the uncertainty of the failure load and displacement alongside with the uncertainty quantification of the failure mechanism in relation to the variability of the input parameters, i.e., the spatial distribution of the material variables and the soil depth. Soil depth is defined as the distance between the upper layer of the soil and the impermeable and rigid bedrock.…”

Uncertainty quantification in Geotechnical Engineering

“…The numerical applications presented provide a qualitatitive and quantitative insight in the relation between the input material variables and the soil behaviour outputs. The aforementioned applications are published in the following scientific papers and conferences (Savvides and Papadrakakis, 2019;Savvides and Papadrakakis, 2020;Savvides and Papadrakakis, 2021a;Savvides and Papadrakakis, 2021b).…”