Citation: Eilat, T.; Mitelman, A.;
McQuillan, A.; Elmo, D. A
Comparative Study of Embedded
Wall Displacements Using
Small-Strain Hardening Soil Model.
Geotechnics 2024, 4, 309–321.
https://doi.org/10.3390/
geotechnics4010016
Received: 17 February 2024
Revised: 1 March 2024
Accepted: 4 March 2024
Published: 8 March 2024
Copyright: © 2024 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
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4.0/).
Article
A Comparative Study of Embedded Wall Displacements Using
Small-Strain Hardening Soil Model
Tzuri Eilat
1
, Amichai Mitelman
1
, Alison McQuillan
2
and Davide Elmo
3,
*
1
Department of Civil Engineering, Ariel University, Ariel 4077625, Israel; tzuri.eilat@msmail.ariel.ac.il (T.E.);
amichaim@ariel.ac.il (A.M.)
2
Rocscience Inc., Toronto, ON M5T 1V1, Canada; alison.mcquillan@rocscience.com
3
Department of Mining Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
* Correspondence: delmo@mining.ubc.ca
Abstract: Traditional analysis of embedded earth-retaining walls relies on simplistic lateral earth
pressure theory methods, which do not allow for direct computation of wall displacements. Contem-
porary numerical models rely on the Mohr–Coulomb model, which generally falls short of accurate
wall displacement prediction. The advanced constitutive small-strain hardening soil model (SS-HSM),
effectively captures complex nonlinear soil behavior. However, its application is currently limited, as
SS-HSM requires multiple input parameters, rendering numerical modeling a challenging and time-
consuming task. This study presents an extensive numerical investigation, where wall displacements
from numerical models are compared to empirical findings from a large and reliable database. A
novel automated computational scheme is created for model generation and advanced data analysis
is undertaken for this objective. The main findings indicate that the SS-HSM can provide realistic
predictions of wall displacements. Ultimately, a range of input parameters for the utilization of
SS-HSM in earth-retaining wall analysis is established, providing a good starting point for engineers
and researchers seeking to model more complex scenarios of embedded walls with the SS-HSM.
Keywords: embedded walls; earth-retaining walls; hardening soil model; geotechnical analysis;
numerical modeling; machine learning
1. Introduction
Embedded retaining walls are ubiquitous structures installed prior to excavation
and designed to support the lateral pressures due to different ground levels on each
side of the wall. The stability of embedded walls relies on the penetration beneath the
level of the lower side. These walls are used for a wide range of construction projects,
including basements, cut-and-cover tunnels, landscaping, and underground infrastructure
installation. Types of walls include pile walls, sheet pile walls, diaphragm walls, and
more. For shallow excavations, cantilever walls are sufficient. For deep excavations, lateral
supports, such as struts or ground anchors, are installed according to a staged excavation
plan. The increase in urbanized areas is pressuring the geotechnical community, which is
currently challenged by a demand to better predict wall behaviour and displacement [1]. In
turn, advancing geotechnical analysis methods is crucial for obtaining safe and economic
structural design [2].
The design methods for these walls are varied, while traditional analysis largely relies
on limit equilibrium approaches, according to earth lateral pressure theory [3]. Under this
approach, active and passive pressures are imposed on the wall according to the assumed
wall movements, and the resultant internal forces and bending of the wall are computed.
An excellent review of the embedded cantilever wall problem is given by [4]. The process
of computing the embedment depth and internal forces in the wall is described in detail.
Figure 1 shows typical problem geometry and the active and passive lateral pressures
for the cantilever problem. Accordingly, H is the excavation depth, O is the point of wall
Geotechnics 2024, 4, 309–321. https://doi.org/10.3390/geotechnics4010016 https://www.mdpi.com/journal/geotechnics