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Modelling the time-dependent behaviour of soft soils Cover

Modelling the time-dependent behaviour of soft soils

Open Access
|Jun 2020

Figures & Tables

Figure 1

Influence of OCR on the creep rate in oedometric conditions.
Influence of OCR on the creep rate in oedometric conditions.

Figure 2

Undrained shear strength in triaxial extension resulting from the application of isotropic model and the real shear strength.
Undrained shear strength in triaxial extension resulting from the application of isotropic model and the real shear strength.

Figure 3

Results of displacement-controlled load tests on floating CSV (Combined Soil Stabilization with Vertical Columns) micropiles after Vermeer and Leoni [5]. 
s˙\dot s
 is the penetration rate and a is its reference value.
Results of displacement-controlled load tests on floating CSV (Combined Soil Stabilization with Vertical Columns) micropiles after Vermeer and Leoni [5]. s˙\dot s is the penetration rate and a is its reference value.

Figure 4

Results of the shallow foundation load test on dense sand after Briaud and Gibbens [8].
Results of the shallow foundation load test on dense sand after Briaud and Gibbens [8].

Figure 5

Creep stages based on the strain versus time curve.
Creep stages based on the strain versus time curve.

Figure 6

Creep during primary consolidation according to hypotheses A and B after Degago [10].
Creep during primary consolidation according to hypotheses A and B after Degago [10].

Figure 7

System of isochrones describing the compressibility characteristics of soft soils after Bjerrum [13].
System of isochrones describing the compressibility characteristics of soft soils after Bjerrum [13].

Figure 8

Instant and delayed deformations according to Bjerrum [13].
Instant and delayed deformations according to Bjerrum [13].

Figure 9

Time- and stress-compressibility interrelationship after Mesri and Godlewski [15].
Time- and stress-compressibility interrelationship after Mesri and Godlewski [15].

Figure 10

Isotaches concept.
Isotaches concept.

Figure 11

MCC model – the real yield surface known from high accuracy experiments, for example, [38, 43], is indicated with grey colour. MCS is the slope of the CSL [24].
MCC model – the real yield surface known from high accuracy experiments, for example, [38, 43], is indicated with grey colour. MCS is the slope of the CSL [24].

Figure 12

Cap models. Mc and Me are the slopes of M-C criterion in the case of triaxial compression and extension, respectively.
Cap models. Mc and Me are the slopes of M-C criterion in the case of triaxial compression and extension, respectively.

Figure 13

In situ stress state in NC (or slightly OC) and OC soil.
In situ stress state in NC (or slightly OC) and OC soil.

Figure 14

Overstress concept.
Overstress concept.

Figure 15

Determination of the creep index in oedometric conditions.
Determination of the creep index in oedometric conditions.

Figure 16

The Leoni model [39].
The Leoni model [39].

Figure 17

The Sivasithamparam et al.'s model [41].
The Sivasithamparam et al.'s model [41].

Figure 18

The Niemunis and Grandas-Tavera model [40]. MCSc and MCSe are the slopes of the CSL for triaxial compression and extension, respectively. MΩ denotes the slope of the CSL by the current Ω.
The Niemunis and Grandas-Tavera model [40]. MCSc and MCSe are the slopes of the CSL for triaxial compression and extension, respectively. MΩ denotes the slope of the CSL by the current Ω.
DOI: https://doi.org/10.2478/sgem-2019-0034 | Journal eISSN: 2083-831X | Journal ISSN: 0137-6365
Language: English
Page range: 97 - 110
Submitted on: Jun 17, 2019
Accepted on: Sep 30, 2019
Published on: Jun 30, 2020
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Katarzyna Staszewska, Marcin Cudny, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.