System reliability analysis of soldier-piled excavation in unsaturated soil by combining random finite element and sequential compounding methods

Johari, A.; Kalantari, Afshin

doi:10.1007/s10064-020-02022-3

Cited by 30 publications

(18 citation statements)

References 46 publications

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“…e local strength reduction method identical with engineering practice is adopted for numerical calculation of engineering project [18,19]. e expression is as follows:…”

Section: Comparison Between Simple Penetration Methods and Femmentioning

confidence: 99%

Method for Determining Critical Slip Surface of Cohesive Soil Slope Based on the Principle of Simple Penetration Test

Zhang

2021

Advances in Civil Engineering

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In order to propose a new method for determining the critical slip surface of the cohesive soil slope, the relational expression between the number of simple penetration and slope bearing capacity is established on the basis of studying the principle of the simple penetration test with reference to the research result concerning the number of standard penetration and bearing capacity of foundation soil. The measuring points are arranged at the slope of a certain road slope according to the actual conditions, to measure the number of simple penetration, calculate the slope bearing capacity at different depths with the relational expression, draw the curve of slope bearing capacity changing with the depth, search the points of abrupt change in slope bearing capacity to get the arc curve of abrupt change points, and then determine the critical slip surface of slope. The test results are compared with the results calculated by the finite element method (FEM) and theoretical method, to verify the feasibility and rationality of the simple penetration method. The research results show that the simple penetration method is applicable to and capable of quick and accurate determination of critical slip surface of the cohesive soil slope, thus providing a new method for analyzing the slope stability of cohesive soil.

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“…e local strength reduction method identical with engineering practice is adopted for numerical calculation of engineering project [18,19]. e expression is as follows:…”

Section: Comparison Between Simple Penetration Methods and Femmentioning

confidence: 99%

Method for Determining Critical Slip Surface of Cohesive Soil Slope Based on the Principle of Simple Penetration Test

Zhang

2021

Advances in Civil Engineering

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“…This process will improve engineering judgment. The first step in stochastic analysis is selecting random variables and determining their characteristics, including the mean, standard deviation, and the statistical distribution type [51,52].…”

Section: Implementing the Soil Uncertainties In The Ground Response Analysismentioning

confidence: 99%

Stochastic nonlinear ground response analysis considering existing boreholes locations by the geostatistical method

Amjadi

Johari

2022

Bull Earthquake Eng

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The field and laboratory evidence of nonlinear soil behavior, even at small strains, emphasizes the importance of employing nonlinear methods in seismic ground response analysis.Additionally, determination of dynamic characteristics of soil layers always includes some degree of uncertainty. Most of previous stochastic studies of ground response analysis have focused only on uncertainties of soil parameters, and the effect of soil sample location has been mostly ignored. This study attempts to couple nonlinear time-domain ground response analysis with uncertainty of soil parameters considering existing boreholes' location through a geostatistical method using a program written in MATLAB. To evaluate the efficiency of the proposed method, stochastic seismic ground responses at construction location were compared with those of the non-stationary random field method through real site data. The results demonstrate that applying the boreholes' location significantly affects not only the ground responses but also their Coefficient Of Variation (COV). Furthermore, the mean value of the seismic responses is affected more considerably by the values of soil parameters at the vicinity of the construction location. It is also inferred that considering boreholes' location may reduce the COV of the seismic responses. Among the surface responses in the studied site, the values of Peak Ground Displacement (PGD) and Peak Ground Acceleration (PGA) reflect the highest and lowest dispersion due to uncertainties of soil propertiesthrough both non-stationary random field and geostatistical methods.

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“…For instances, Fenton and Griffiths 3 pioneered the random finite element method (RFEM) and applied it in several geotechnical investigations involving the settlement of shallow foundations, bearing capacity, earth pressure and liquefaction. Other applications of RFEM in research include works studying the effects of soil spatial variability on the failure probability of slopes, 4–8 and the influences of spatially random undrained shear strength and stiffness on the displacement and safety factor of excavations 9–13 . In addition, reliability analysis of slope was examined in the current studies 14–18 and other finite element methods were investigated for slope stability analysis 19–21 .…”

Section: Introductionmentioning

confidence: 99%

“…Other applications of RFEM in research include works studying the effects of soil spatial variability on the failure probability of slopes, [4][5][6][7][8] and the influences of spatially random undrained shear strength and stiffness on the displacement and safety factor of excavations. [9][10][11][12][13] In addition, reliability…”

Section: Introductionmentioning

confidence: 99%

Influence of copula approaches on reliability analysis of slope stability using random adaptive finite element limit analysis

Nguyen

Likitlersuang

Tanapalungkorn

et al. 2022

Num Anal Meth Geomechanics

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Recently, random field copulas have been deployed to characterise the dependent structures of spatially variable soil parameters. This study expands on this concept by implementing finite element limit analysis (FELA) with adaptive meshing alongside the copula approach to perform reliability assessment of a geotechnical problem. A hypothetical slope with drained and undrained soil conditions was used as an example. First, adaptive FELA was carried out on the hypothetical slope. Second, single and multiple dependency soil parameter structures were represented by several selected copulas (Gaussian, Frank and Clayton). Finally, random adaptive FELA was implemented to explore the effects of copula selection on slope stability and reliability analyses. Results show that considerably different slope failure probabilities are produced by different copula approaches, and that failure probabilities reduce for simulating multiple dependency structures. In addition, failure probability exhibits different tendencies between drained and undrained soil conditions as soil parameter crosscorrelations become stronger. Failure probabilities are also different when performing lower and upper bound (UB) random adaptive FELA with each of the selected copulas.

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System reliability analysis of soldier-piled excavation in unsaturated soil by combining random finite element and sequential compounding methods

Cited by 30 publications

References 46 publications

Method for Determining Critical Slip Surface of Cohesive Soil Slope Based on the Principle of Simple Penetration Test

Method for Determining Critical Slip Surface of Cohesive Soil Slope Based on the Principle of Simple Penetration Test

Stochastic nonlinear ground response analysis considering existing boreholes locations by the geostatistical method

Influence of copula approaches on reliability analysis of slope stability using random adaptive finite element limit analysis

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