Undrained Bearing Capacity of Two-Strip Footings on Spatially Random Soil

Griffiths, D. V.; Fenton, Gordon A.; Manoharan, N.

doi:10.1061/(asce)1532-3641(2006)6:6(421)

Cited by 101 publications

(31 citation statements)

References 16 publications

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“…This is a kind of si-mulation where uncertainty in various aspects is shown clearly and quantitatively [6]. In Monte Carlo method, a probability distribution function is considered for each input random variable to quantify uncertainties in the model.…”

Section: Problem Statementmentioning

confidence: 99%

Probabilistic Analysis of Shallow Foundation Settlement considering Soil Parameters Uncertainty Effects

Nazarzadeh¹,

Sarbishe-ee²

2017

OJG

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One of the most important challenges in the design of the foundation of the Earth layer below the surface is the Summit Foundation, which can be a very large impact on the sustainability and the structure of the desired user. Based on this analysis and design criteria of two successive ruptures (load bearing) and settlement, due to the nature of non-homogeneous soil and its parameters uncertainty, relying on one number as the amount of foundation settlement doesn't seem logical. This is while in the methods of the probability distribution function by taking the probability for each of the input parameters, or the characteristics of each parameter, the parameter values are likely to have the chance of occurrence. In this research, effort is made using the method of probabilistic Monte Carlo simulation, the effect of the uncertainty of parameters influencing the mechanical behavior following the successive layers of earth and examined. In the event that non-deterministic model input variables for describing, not non-deterministic model output as well. So the output of each method to analysis of the concept of the probability distribution function for the input variables is a function of the probability distribution for the target function. In this study, the reliability of the settlement for the three modes of settlement center, corner of rigid foundation is fitted with two types of normal probability distribution and the log-normal distributions. For this purpose, the parameters of the effect of the transition on the analysis of soil modulus of elasticity of foundation, such as settlement and the coefficient of Poisson ratio distribution in probability using probabilistic log-normal and normal have been considered. Analysis indicated that the settlement in the center of the wake is flexible critical than the other two and has a higher probability of occurrence of the settlement in this part of the foundation. In the case of the normal distribution and the normal distribution graph of the log was used, the probability density function of the normal distribution is related to the log has a greater dispersion.

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Section: Problem Statementmentioning

confidence: 99%

Probabilistic Analysis of Shallow Foundation Settlement considering Soil Parameters Uncertainty Effects

Nazarzadeh¹,

Sarbishe-ee²

2017

OJG

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“…It is obvious that if two samples are close together, they will be usually more correlated comparing to the case when they are widely separated. It is common in literature to use a correlation function in the following single exponential form, which is known as Markovain spatial correlation function (Griffiths et al, 2006):…”

Section: Stochastic Variation Of Cohesionmentioning

confidence: 99%

Evaluation of Bearing Capacity of Shallow Foundations Using Random Field Theory in Comparison to Classic Methods

Zhalehjoo¹,

Chenari²,

Pouya³

2012

GeoCongress 2012

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The classical methods dealing with the calculation of bearing capacity such as limit equilibrium and slip line method satisfy the theoretical requirements partially leading to different solutions depending on the adopted method. However, the problem with such methods of analysis is that they disregard the real variation of constitutive parameters by adopting a homogeneous analysis. It has now been appreciated that geomaterials exhibit considerable heterogeneity consisting of lithological and inherent variation. This leads to a deviation from an ideal homogeneous assumption. The current study highlights the importance of spatial variation in bearing capacity analyses by using random field theory. For this aim, random field theory in connection with Monte-Carlo simulations is adopted to evaluate the bearing capacity of a spatially variable soil layer. In the present study, the undrained shear strength is considered as the stochastic parameter and assumed to be log-normally distributed and spatially correlated throughout the domain. Finally, the results will be compared with those of classic methods in which, only, the deterministic variation is considered.

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“…Spatial variation of strength, stiffness, and permeability properties of pavement foundation layers are documented by Vennapusa (2004) and White et al (2004). Results based on average layer values may vary considerably from actual performance , Griffiths et al 2006. Better understanding the influence of spatial variability on the performance of geotechnical structures is increasingly being studied for a wide range of geotechnical applications (e.g., Mostyn and Li 1993, Phoon et al 2000, Griffiths et al 2006.…”

Section: N O T C O P Y E D I T E Dmentioning

confidence: 99%

“…Results based on average layer values may vary considerably from actual performance , Griffiths et al 2006. Better understanding the influence of spatial variability on the performance of geotechnical structures is increasingly being studied for a wide range of geotechnical applications (e.g., Mostyn and Li 1993, Phoon et al 2000, Griffiths et al 2006. One challenge in this area has been collecting enough information to make use of geostatistcs.…”

Section: N O T C O P Y E D I T E Dmentioning

confidence: 99%

Geostatistical Analysis for Spatially Referenced Roller-Integrated Compaction Measurements

Vennapusa

White

Morris

2010

J. Geotech. Geoenviron. Eng.

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An approach to quantify nonuniformity of compacted earth materials using spatially referenced rollerintegrated compaction measurements and geostatistical analysis is discussed. Measurements from two detailed case studies are presented in which univariate statistical parameters are discussed and compared to geostatistical semivariogram modeling parameters and analysis. The univariate and geostatistical parameter values calculated from the roller-integrated measurements are also compared to traditional spot test acceptance criteria. Univariate statistical parameter values based on roller-integrated measurement values provide significantly more information than traditional point measurements, while geostatistics can be used to identify regions of noncompliance and prioritize areas for rework. KeywordsStatistics, Geostatistics, Soil compaction, quality control, earthwork, intelligent compaction, semivariogram, measurement Disciplines Geotechnical Engineering | Statistics and Probability CommentsThis is a post-print of an article from Journal of Geotechnical and Geoenvironmental Engineering136, no. 6 (2010) Abstract: An approach to quantify non-uniformity of compacted earth materials using spatially referenced roller-integrated compaction measurements and geostatistical analysis is discussed.

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Undrained Bearing Capacity of Two-Strip Footings on Spatially Random Soil

Cited by 101 publications

References 16 publications

Probabilistic Analysis of Shallow Foundation Settlement considering Soil Parameters Uncertainty Effects

Probabilistic Analysis of Shallow Foundation Settlement considering Soil Parameters Uncertainty Effects

Evaluation of Bearing Capacity of Shallow Foundations Using Random Field Theory in Comparison to Classic Methods

Geostatistical Analysis for Spatially Referenced Roller-Integrated Compaction Measurements

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