Cost-Effective Design of Long Spatially Variable Soil Slopes Using Conditional Simulation

Li, Yajun; Hicks, Michael

doi:10.1061/9780784480700.038

Cited by 3 publications

(1 citation statement)

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“…Liu et al (2019) shows the development in research of this random fields. Within the research in the field of civil engineering the application of GRF is frequently observed in geotechnical analysis for example for levees and embankments (Hicks and Li, 2018), Li et al (2017) . The spatial variability of a soil continuum can be described using this method, see for example (Papaioannou and Straub, 2015;Soubra et al, 2008;Kasama and Zen, 2011).…”

Section: Literature Overviewmentioning

confidence: 99%

The Influence of Spatial Variation on the Design of Foundations of Immersed Tunnels: Advanced Probabilistic Analysis

't Hart,

Morales-Napoles,

Jonkman

2023

Preprint

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Section: Literature Overviewmentioning

confidence: 99%

The Influence of Spatial Variation on the Design of Foundations of Immersed Tunnels: Advanced Probabilistic Analysis

't Hart,

Morales-Napoles,

Jonkman

2023

Preprint

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3D bearing capacity probabilistic analyses of footings on spatially variable c–φ soil

Kawa

Puła

2019

Acta Geotech.

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The paper examines three-dimensional (3D) analyses of the load bearing capacity of square and strip footings on a spatially variable cohesive-frictional (c-u) soil. Embedded, rigid and smooth footings are considered. Cohesion and friction angle are modelled using random fields. The vertical scale of fluctuation (SOF) is based on earlier studies of natural soils. For the square footing problem, the horizontal SOF is the subject of a parametric study. For the strip footing, only one value of the horizontal SOF is assumed, and the parametric study concerns the modelled length of the foundation. To generate the fields of strength parameters, the Fourier series method is employed. For both problems analyzed, the influence of the parameters on the probabilistic characteristics of the bearing capacity of the soil is investigated. For the square footing problem, both the mean value of bearing capacity and its coefficient of variation increase with an increasing horizontal fluctuation scale, but they stabilize at higher values of SOF. For the strip footing problem, it appears that 2D modelling is a very conservative approach, and for the precise assessment of the probability of foundation failure, the footing should be modelled in 3D. Keywords FLAC3D Á Random field Á Reliability index Á Scale of fluctuation List of symbols Roman a Lower bound of bounded interval b Upper bound of bounded interval CoV Coefficient of variation c Cohesion

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Model Updating of Slope Stability Analysis Using 3D Conditional Random Fields

Ouyang

Liu

Yao

et al. 2021

ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

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Cost-Effective Design of Long Spatially Variable Soil Slopes Using Conditional Simulation

Cited by 3 publications

References 30 publications

The Influence of Spatial Variation on the Design of Foundations of Immersed Tunnels: Advanced Probabilistic Analysis

The Influence of Spatial Variation on the Design of Foundations of Immersed Tunnels: Advanced Probabilistic Analysis

3D bearing capacity probabilistic analyses of footings on spatially variable c–φ soil

Model Updating of Slope Stability Analysis Using 3D Conditional Random Fields

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