caa a22 4500 463163362 CHVBK 20180406164754.0 cr unu---uuuuu 170326e20070301xx s 000 0 eng 10.1007/s11242-006-0021-0 doi (NATIONALLICENCE)springer-10.1007/s11242-006-0021-0 Consolidation Statistics Investigation via Thin Layer Method Analysis [Elektronische Daten] [M'hammed Badaoui, Ali Nour, Abdennasser Slimani, Mounir Berrah] In this paper, the Thin Layer Method (TLM) is adapted for solving one-dimensional primary consolidation problems. It is also combined with a stochastic formulation integrating Monte Carlo simulations to investigate primary consolidation of a random heterogeneous soil profile. This latter is modeled as a set of superposed layers extending horizontally to infinity, and having random properties. Spatial variability of soil properties is considered in the vertical direction only. Soil properties of interest are elastic modulus and soil permeability, modeled herein as spatially random fields. Lognormal distribution is chosen because it is suitable for strictly non-negative random variables, and enables analyzing the large variability of such properties. The statistics regarding final settlement and its corresponding time are investigated by performing a parametric study, which integrates the influence of variation coefficient of both elastic modulus and soil permeability, and vertical correlation length. Obtained results indicate that heterogeneity significantly influences primary consolidation of the soil profile, generating a quite different way of soil grain rearrangement and water pressure dissipation in comparison to the homogeneous case, and causing a delay in the consolidation process. Springer, 2006 primary consolidation nationallicence heterogeneity nationallicence soil profile nationallicence elastic modulus nationallicence soil permeability nationallicence lognormal distribution nationallicence Monte Carlo simulation nationallicence thin layer method nationallicence Badaoui M'hammed LBE, Faculty of Civil Engineering, USTHB, BP 32, El-Alia, Bab-Ezzaouar, Algiers, Algeria aut Nour Ali Department of Civil, Geological and Mining Engineering, École Polytechnique de Montréal, Station "Centre-Ville”, P.O. Box 6079, H3C 3A7, Montréal, Quebec, Canada aut Slimani Abdennasser CGS, National Center of Applied Research in Earthquake Engineering, 01 rue Kaddour Rahim, BP 252, Hussein-Dey, Algiers, Algeria aut Berrah Mounir Ecole Nationale Polytechnique, 10 Avenue Hassan Badi, BP 182, 16200, El-Harrach, Algiers, Algeria aut Transport in Porous Media Kluwer Academic Publishers 67/1(2007-03-01), 69-91 0169-3913 67:1<69 2007 67 11242 https://doi.org/10.1007/s11242-006-0021-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11242-006-0021-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Badaoui M'hammed LBE, Faculty of Civil Engineering, USTHB, BP 32, El-Alia, Bab-Ezzaouar, Algiers, Algeria aut NATIONALLICENCE 700 1- Nour Ali Department of Civil, Geological and Mining Engineering, École Polytechnique de Montréal, Station "Centre-Ville”, P.O. Box 6079, H3C 3A7, Montréal, Quebec, Canada aut NATIONALLICENCE 700 1- Slimani Abdennasser CGS, National Center of Applied Research in Earthquake Engineering, 01 rue Kaddour Rahim, BP 252, Hussein-Dey, Algiers, Algeria aut NATIONALLICENCE 700 1- Berrah Mounir Ecole Nationale Polytechnique, 10 Avenue Hassan Badi, BP 182, 16200, El-Harrach, Algiers, Algeria aut NATIONALLICENCE 773 0- Transport in Porous Media Kluwer Academic Publishers 67/1(2007-03-01), 69-91 0169-3913 67:1<69 2007 67 11242 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer