Geodatabases to improve geotechnical design and modelling

Vardanega, Paul J.; Crispin, Jamie J.; Gilder, Charlotte; Voyagaki, Elia; Shepheard, Casey J.; Holcombe, Elizabeth

doi:10.1002/cepa.704

Cited by 6 publications

(13 citation statements)

References 11 publications

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“…Method 3 -Elastoplastic "t-z" analysis using a power-law nonlinear soil model A linear elastic perfectly-plastic soil model is a relatively crude approximation of the constitutive behavior of soils, neglecting any nonlinear elastic behavior and plastic behavior such as strain softening. Modelling soil nonlinearity rigorously requires numerical analysis, however, Vardanega et al (2012aVardanega et al ( , 2018 proposed a simple analytical method based on mobilised stress design principles that is suitable for hand calculation and can be applied here. The constitutive relationship in Eq.…”

Section: Methods 1 -Linear Elasticmentioning

confidence: 99%

Analytical Approaches to Predict Pile Settlement in London Clay

Voyagaki

Crispin²,

Gilder³

et al. 2018

Sustainable Civil Infrastructures

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Projects involving construction of piled foundations often rely on preliminary full-scale field tests to failure to predict performance under applied load. If these tests are not available, the ensuing uncertainty will naturally lead to conservative design assumptions. Such design assumptions will result in higher construction costs and often in longer construction times. This paper shows how a database of previous pile load tests can be used in conjunction with simple analytical tools to attempt a quantification of performance uncertainty. Data from a series of previously published axial load tests on piles in London Clay is employed to this end. The methodology developed in this paper can arguably be expanded to a wider range of test sites and geological materials.

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Section: Methods 1 -Linear Elasticmentioning

confidence: 99%

Analytical Approaches to Predict Pile Settlement in London Clay

Voyagaki

Crispin²,

Gilder³

et al. 2018

Sustainable Civil Infrastructures

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“…Equation 4 was found to have an R 2 = 0.56 for n = 47 with p < 0.001. Vardanega et al (2018) found that when ϕ' peak was regressed against liquidity index for the SL database a R 2 of 0.43 was obtained.…”

Section: Geotechnical Correlationsmentioning

confidence: 97%

“…(i) Based on preliminary work by Shepheard et al (2018b) and Vardanega et al (2018), to investigate whether significant soil property correlations can be derived to link soil friction angle to basic soil parameters for the Saint Lucia database (hereafter referred to as the 'SL database');…”

Section: Study Aimsmentioning

confidence: 99%

“…In soil engineering and geotechnics it is common to estimate engineering parameters that are complex or hard to measure by using a simpler property, or combination of properties (e.g., Kulhaway and Mayne, 1990;Phoon, 2014a, 2014b;Havaee et al 2015;Zolfaghari, et al 2016;Ahmed (2018) Schjønning and Lamandé, 2018). Preliminary statistical analysis of this database has been reported in Shepheard et al (2018b) and Vardanega et al (2018). Figure 2 shows the soil friction angles (and apparent cohesion intercepts) in the database plotted against the liquid limit (w L ), plastic limit (w p ), PI, silt-clay fraction (SF) and natural water content (w nat ).…”

Section: Geotechnical Correlationsmentioning

confidence: 99%

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Minding the geotechnical data gap: appraisal of the variability of key soil parameters for slope stability modelling in Saint Lucia

Shepheard

Vardanega

Holcombe

et al. 2019

Bull Eng Geol Environ

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Identification of failure thresholds and critical uncertainties associated with slope stability often requires the specification of geotechnical parameter values for input into a physically-based model. The variation of these parameters (including mechanical soil properties such as effective friction angle and cohesion) can have a significant impact on the computed factor of safety. These uncertainties arise from natural variations in soils, measurement techniques, and lack of reliable information. Researchers may use statistical analysis coupled with numerical simulation to determine possible ranges of slope factors of safety and the relative influence of geotechnical and other parameters, such as topsoil depth and rainfall. This study investigates the variation of geotechnical parameters observed on the island of Saint Lucia in the Eastern Caribbean. A database of particle size distributions, in-situ moisture contents, Atterberg and direct shear box test results is compiled from 91 samples of tropical soils in Saint Lucia. A study of various probability distributions shows that the Weibull distribution may be favoured for the effective friction angle of the Saint Lucian soils considered based on the Akaike information criterion, employed as an estimator of the relative quality of statistical models dealing with the trade-off between goodness-of-fit and simplicity of the model.

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“…(2), an investigation is prompted into an estimation expression where the parameters are combined, i.e., the liquidity index (LI). Studying the linear formulation, the use of LI as a sole predictor for ϕ' peak gives a lower coefficient of determination of 0.43 (see Vardanega et al 2018 for the scatter-plot). Therefore, the value in weighting the variables separately (as shown in Eq.…”

Section: Multiple Linear Regression Analysismentioning

confidence: 99%

On the variability of the effective friction angle of Saint Lucian soils: investigations through a laboratory database

et al. 2018

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For assessment of slope stability in data-scarce regions prone to natural hazards, modelling relies, to a large degree, on estimates of the effective friction angle. Using a database, comprising soil data from Saint Lucia in the Eastern Caribbean, both simple regression and multiple linear regression analysis were performed. These analyses correlate various basic soil parameters with the effective friction angle measurements contained in the database. The developed statistical relationships are then employed for the estimation of the effective friction angle for use in a slope stability simulation scenario. These analyses show the narrowing of the expected range of results for the slope factor of safety when more soil parameters are used in the estimation of effective friction angle.

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Geodatabases to improve geotechnical design and modelling

Cited by 6 publications

References 11 publications

Analytical Approaches to Predict Pile Settlement in London Clay

Analytical Approaches to Predict Pile Settlement in London Clay

Minding the geotechnical data gap: appraisal of the variability of key soil parameters for slope stability modelling in Saint Lucia

On the variability of the effective friction angle of Saint Lucian soils: investigations through a laboratory database

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