Predicting the uniaxial capacity of plate anchors in spatially variable clay using metamodels

This paper investigates the effect of spatial variability in undrained shear strength on the uniaxial capacity of a deeply embedded plate anchor. The study was undertaken using the random field finite element method, and the results show that the ultimate uniaxial capacity is significantly influenced by strength heterogeneity, which is influenced by the different mobilised failure mechanisms and leads to a widely distributed probability of failure. Interpretation of the results also shows that it is possible to relate the statistical distribution of an operative undrained shear strength to the probability of failure of the plate, using close to constant uniaxial capacity factors. These findings simplify the assessment of plate capacity to the determination of the operative undrained shear strength, without needing to resort to computationally expensive finite element analyses. Additionally, the operative undrained shear strength obtained from random field modelling can be accurately emulated by metamodelling, which can then be used to correlate the input variables to the statistical distribution of the operative undrained shear strength. Through reference to a specific foundation geometry and set of soil variability parameters, this paper illustrates the potential of a simple and computationally cost-effective analytical procedure which, by combining random field finite element analyses and metamodels, relates site-specific field input variables to the probability of failure of a deeply embedded plate anchor in a spatially variable clay.

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Publication Details

Journal
Computers and Geotechnics
Published
2025-02-26
DOI
https://doi.org/10.1016/j.compgeo.2025.107157
Citations
1
Primary Topic
Geotechnical Engineering and Analysis
Type
article
Field-Weighted Citation Impact
1.30

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article

Predicting the uniaxial capacity of plate anchors in spatially variable clay using metamodels

Laura Govoni, Christophe Gaudin, P. G. Watson, Alessio Mentani et al.
1 citations
Computers and Geotechnics
Geotechnical Engineering and Analysis
1.30
article

Predicting the uniaxial capacity of plate anchors in spatially variable clay using metamodels

Laura Govoni, Christophe Gaudin, P. G. Watson, Alessio Mentani, Yinghui Tian
article en
1 citations

Abstract

This paper investigates the effect of spatial variability in undrained shear strength on the uniaxial capacity of a deeply embedded plate anchor. The study was undertaken using the random field finite element method, and the results show that the ultimate uniaxial capacity is significantly influenced by strength heterogeneity, which is influenced by the different mobilised failure mechanisms and leads to a widely distributed probability of failure. Interpretation of the results also shows that it is possible to relate the statistical distribution of an operative undrained shear strength to the probability of failure of the plate, using close to constant uniaxial capacity factors. These findings simplify the assessment of plate capacity to the determination of the operative undrained shear strength, without needing to resort to computationally expensive finite element analyses. Additionally, the operative undrained shear strength obtained from random field modelling can be accurately emulated by metamodelling, which can then be used to correlate the input variables to the statistical distribution of the operative undrained shear strength. Through reference to a specific foundation geometry and set of soil variability parameters, this paper illustrates the potential of a simple and computationally cost-effective analytical procedure which, by combining random field finite element analyses and metamodels, relates site-specific field input variables to the probability of failure of a deeply embedded plate anchor in a spatially variable clay.

Computers and GeotechnicsVol. 182
The University of Melbourne (AU), The University of Western Australia (AU), University of Bologna (IT)
Horizon 2020 Framework Programme, H2020 Marie Skłodowska-Curie Actions
Openalex Percentile: Top 24%
Geotechnical Engineering and Analysis
1.30
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