Three-dimensional reliability analysis of earth slopes

Auvinet, G.; González, Jeanette

doi:10.1016/s0266-352x(99)00041-5

Cited by 35 publications

(7 citation statements)

References 4 publications

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“…At this juncture, it is mentioned that research work in the area of modelling the stochastic spatial variability of soil properties for geotechnical engineering problems has been done in the past among others by Auvinet and Gonzalez [1], Fenton [2; 3], Fenton and Vanmarcke [4], Mellah et al [5], Popescu [6] and Rackwitz [7].…”

Section: Introductionmentioning

confidence: 99%

Risk assessment of an interacting structure–soil system due to liquefaction

Koutsourelakis

Prévost

Deodatis

2002

Earthq Engng Struct Dyn

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SUMMARYThe present study deals with the non-linear stochastic dynamic analysis of a soil-structure interacting system. The ultimate objective is to determine the risk of damage to the system due to liquefaction under a wide range of earthquake intensities. A Monte Carlo simulation approach is followed in conjunction with advanced ÿnite element procedures. The stochastic spatial variability of soil properties and the randomness of the seismic excitation are taken into account in order to estimate the statistics of the response, measured in terms of uniform foundation settlement and tilting. Speciÿcally, soil properties are modelled as non-Gaussian random ÿelds and seismic excitations as non-stationary random processes. The probabilistic characteristics of the stochastic ÿeld modelling soil properties are established from in situ tests. The risk of damage to the soil-structure system due to liquefaction is assessed by establishing fragility curves, which are of paramount importance for risk assessment and management studies of such systems. Fragility curves express the probability of exceeding various thresholds in the response. The relative e ect of the variability of various soil parameters on the variability of the response is also examined.

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Section: Introductionmentioning

confidence: 99%

Risk assessment of an interacting structure–soil system due to liquefaction

Koutsourelakis

Prévost

Deodatis

2002

Earthq Engng Struct Dyn

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“…Many studies attempted to conduct 3D finite element analyses when investigating the behavior of embankments summarized that the 3D finite element analysis can be used to model the reinforced soil embankment under service loading and at collapse successfully [15][16][17] .…”

Section: Introductionmentioning

confidence: 99%

Finite Element Analysis of Triaxial Tests of a New Composite Reinforced Soil

Xiangjing

Jiang

2010

2010 International Conference on Intelligent Computation Technology and Automation

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Red-sandstone reinforced with hexagonal wire mesh is a new concept of composite reinforced soil. In order to study the mechanical properties of this composite reinforced soil, a series of laboratory triaxial compression tests on specimens reinforced with hexagonal wire mesh were carried out. 3D finite element method was introduced to simulate the triaxial tests. The macro stress-strain relation of the red-sandstone specimens reinforced with hexagonal wire mesh inclusions was reproduced and verified by 3D finite element model. The results indicate: finite element method is a ideal technique to study the mechanical characteristics of composite reinforced materials. The peak strength of red-sandstone are increased by hexagonal wire mesh reinforcements, and the peak shear strength arrives at a larger shear displacement than the plain red-sandstone specimen.

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“…Griffiths et al 2009). Important early work was reported by Vanmarcke (1977), which led other investigators such as Yücemen & Al-Homoud (1990) and Auvinet & Gonzalez (2000) to consider the three-dimensional slope reliability.…”

Section: Introductionmentioning

confidence: 99%

On the reliability of earth slopes in three dimensions

2009

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The paper investigates the probability of failure of two-dimensional and three-dimensional slopes using the random finite-element method (RFEM). In this context, RFEM combines elastoplastic finite-element algorithms with random field theory in a Monte Carlo framework. Full account is taken of local averaging and variance reduction over each element, and an exponentially decaying (Markov) spatial correlation function is incorporated. It is found that two-dimensional probabilistic analysis, which implicitly assumes perfect spatial correlation in the out-of-plane direction, may underestimate the probability of failure of slopes.

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Three-dimensional reliability analysis of earth slopes

Cited by 35 publications

References 4 publications

Risk assessment of an interacting structure–soil system due to liquefaction

Risk assessment of an interacting structure–soil system due to liquefaction

Finite Element Analysis of Triaxial Tests of a New Composite Reinforced Soil

On the reliability of earth slopes in three dimensions

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