Probabilistic basal heave stability analyses of supported circular shafts in non-homogeneous clayey soils

Zhang, Tingting; Baroth, Julien; Dias, Daniel

doi:10.1016/j.compgeo.2021.104457

Cited by 13 publications

(3 citation statements)

References 37 publications

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“…The mesh density has a significant effect on the calculation results and the computational effort [45]. In order to determine the optimal mesh density in a way that reaches a balance between precision and computational efficiency, FEM models with B = H, 3H and 6H are used to study the influence of mesh density on the calculation results and efforts.…”

Section: The Determination Of Model Boundary and Mesh Densitymentioning

confidence: 99%

Deformation-Based Basal Heave Reliability Analysis and Selection on Monitoring Points for General Braced Excavations

Meng

et al. 2023

Sustainability

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A framework for evaluating deformation-based basal heave stability is proposed in order to distinguish between the different responses under freely developed and prohibited basal heave failures. In the case of freely developed basal heave failure, the maximum deformation values occur at the center point of pit bottom, whereas this is not the case for the prohibited basal heave failure. The critical thickness of soft soil layer between the end of supporting structures and the top of hard stratum is about 0.3B (B = excavation width), beyond which the freely developed basal heave failure arises. In situations otherwise, the prohibited basal heave failure occurs. The failure probability of basal heave failure at the center point increases significantly as B ranges within a limited value; then, it begins to decrease or to vary slightly at a certain value under a given thickness of soft soil layer. If the thickness of soft soil layer is so sufficiently large that freely developed basal heave failure occurs for any of B, the failure probability of basal heave failure at the center point increases as B increases. The selection of the optimum monitoring points for basal heave stability is recommended to account for the weights in the contribution to the basal heave deformations of the influencing factors such as excavation width and thickness of soft soil layer. The proposed framework is applicable to basal heave reliability analysis for braced excavations where deformation values are focused.

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Section: The Determination Of Model Boundary and Mesh Densitymentioning

confidence: 99%

Deformation-Based Basal Heave Reliability Analysis and Selection on Monitoring Points for General Braced Excavations

Meng

et al. 2023

Sustainability

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“…It is observed that the meshes around the failure region are finer compared with others. More details can be found in Zhang et al [27] and Krabbenhoft et al [25].…”

Section: Numerical Model: Felamentioning

confidence: 99%

Metamodel-Based Slope Reliability Analysis—Case of Spatially Variable Soils Considering a Rotated Anisotropy

et al. 2021

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A rotation of the anisotropic soil fabric pattern is commonly observed in natural slopes with a tilted stratification. This study investigates the rotated anisotropy effects on slope reliability considering spatially varied soils. Karhunen–Loève expansion is used to generate the random fields of the soil shear strength properties (i.e., cohesion and friction angle). The presented probabilistic analyses are based on a meta-model combining Sparse Polynomial Chaos Expansion (SPCE) and Global Sensitivity Analysis (GSA). This method allows the number of involved random variables to be reduced and then the computational efficiency to be improved. Two kinds of deterministic models, namely a discretization kinematic approach and a finite element limit analysis, are considered. A variety of valuable results (i.e., failure probability, probability density function, statistical moments of model response, and sensitivity indices of input variables) can be effectively provided. Moreover, the influences of the rotated anisotropy, autocorrelation length, coefficient of variation and cross-correlation between the cohesion and friction angle on the probabilistic analysis results are discussed. The rotation of the anisotropic soil stratification has a significant effect on the slope stability, particularly for the cases with large values of autocorrelation length, coefficient of variation, and cross-correlation coefficient.

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“…Furthermore, in probabilistic analysis, several random variables are considered, and it is valuable to investigate the impact of these input variables on the model response through sensitivity analyses. Global Sensitivity Analysis (GSA), which comprehensively assesses the entire space of input variables, is a widely utilized technique [23,24]. In this study, Analysis of Covariance (ANCOVA), a type of GSA, will be employed to generate informative sensitivity indices, particularly for correlated input variables.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Solution for Probabilistic Slope Seismic Stability Analysis Based on Polynomial Chao Kriging Metamodel

Zhang,

Dias

2024

GeoHazards

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Slope stability analysis plays a crucial role in geotechnical engineering, particularly in regions susceptible to seismic activity. The inherent non-homogeneity and uncertainty of soil properties pose significant challenges in assessing slope stability under seismic conditions. To address these complexities, a novel and efficient methodology named DUBLA-PDM-PCK is proposed. In this methodology, the effects of soil non-homogeneity and uncertainty, along with the time and spatial variations of seismic loading, are systematically considered. The deterministic framework integrates discretized upper bound limit analysis (DUBLA) to accommodate soil non-homogeneous characteristics, and the pseudo-dynamic method (PDM) to model seismic loading variability. Then, a robust and efficient probabilistic analysis method, PCK-MA, is implemented utilizing adaptive Polynomial Chaos Kriging metamodeling, Monte Carlo Simulation, and Analysis of Covariance to investigate the uncertainty of the parameters. This approach treats nine key parameters, including soil cohesion, friction angle, non-homogeneous coefficients, horizontal and vertical seismic coefficients, period, and amplification factor, as random variables to assess their uncertainty effects on failure probability (stability level) and sensitivity indices. The DUBLA-PDM-PCK methodology offers a streamlined and reliable tool tailored for assessing slope stability in seismic environments, demonstrating notable efficiency in addressing soil variability and seismic loading uncertainties. Its application holds promise for guiding engineering practices and enhancing understanding of slope behavior in regions prone to seismic hazards.

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Probabilistic basal heave stability analyses of supported circular shafts in non-homogeneous clayey soils

Cited by 13 publications

References 37 publications

Deformation-Based Basal Heave Reliability Analysis and Selection on Monitoring Points for General Braced Excavations

Deformation-Based Basal Heave Reliability Analysis and Selection on Monitoring Points for General Braced Excavations

Metamodel-Based Slope Reliability Analysis—Case of Spatially Variable Soils Considering a Rotated Anisotropy

An Efficient Solution for Probabilistic Slope Seismic Stability Analysis Based on Polynomial Chao Kriging Metamodel

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