Characterization of spatial variability of CPTU data in a liquefaction site improved by vibro-compaction method

Cai, Guojun; Lin, Jun; Liu, Songyu; Puppala, Anand J.

doi:10.1007/s12205-016-0631-1

Cited by 15 publications

(4 citation statements)

References 19 publications

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“…In some previous studies (e.g. Cai et al, 2016;Firouzianbandpey et al, 2014), the sample data were analysed using the method of moments (MoM), which requires subjective decisions on the trend assumptions, bin size in residual analyses and curve fitting of semivariograms. These decisions and assumptions may not be robust, especially when spatial variability in three dimensions are involved.…”

Section: Three-dimensional Anisotropymentioning

confidence: 99%

Characterising three-dimensional anisotropic spatial correlation of soil properties through in situ test results

Liu

Leung

2018

Géotechnique

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Proper characterisations of soil properties and their variations are pivotal to the geotechnical design process. Although multiple in situ soil tests are routinely specified and performed in geotechnical investigation programmes, the information they provide regarding the spatial correlations of soil properties are often not fully utilised. This paper presents a holistic framework to characterise the three-dimensional, anisotropic, spatial variability of soil properties, using results of in situ tests such as standard penetration tests or vane shear tests. The restricted maximum likelihood method is implemented with an anisotropic covariance model, leading to improved predictive capabilities compared to conventional approaches, and allows quantification of the uncertainties on soil properties at unsampled locations, represented as distributions of prediction variance across the entire subsurface three-dimensional domain. The magnitudes of prediction variance at different locations can be used to provide guidance on the necessities and locations of additional soil sampling. They can also provide key input parameters for random field models in site-specific probabilistic analyses of geotechnical projects. The proposed approach is applied to the study of two project sites in Hong Kong, where it is shown that the three-dimensional spatial correlation features may be interpreted together with the geological settings at the site.

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Section: Three-dimensional Anisotropymentioning

confidence: 99%

Characterising three-dimensional anisotropic spatial correlation of soil properties through in situ test results

Liu

Leung

2018

Géotechnique

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“…On the microscale, they manifest as a deterministic phenomenon, while micro interfaces cannot be distinguished on the macroscale, and their feature sizes are much larger than those on the microscale. Macro parameters or indicators of each point in the soil layer exhibit strong spatial variability [31], and equations established based on continuous media theory cannot be directly used. In order to describe macro systems, we must adopt averaging methods to establish a relationship between point characteristics on the microscale and average spatial characteristics within a certain thickness range on the macroscale and translate such extremely inhomogeneous micro medium into a macro-continuous medium.…”

Section: Action Mechanism Of Correlation Distancementioning

confidence: 99%

Influence of Correlation Distance of Soil Parameters on Pile Foundation Failure Probability

et al. 2023

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Spatial variability of soil parameter distribution is crucial to calculating the pile foundation failure probability. Traditional reliability design methods describe the dispersion degree of soil parameters with their point variance without considering the influence of correlation distance. In this paper, static cone penetration test data of a project site are used, and random field theory is introduced to describe the average spatial characteristics of soil parameters. Then, the method of spatial average is used to calculate the correlation distance of soil parameters in each foundation soil layer. Given the influence of the correlation distance, a variance reduction function is determined to convert point variance to spatial mean-variance and further calculate the failure probability of pile foundation with the Monte Carlo method to study the influence of correlation distance on pile foundation failure probability. Results show that the spatial variability of parameters can be better reflected, and project cost can be reduced by considering the influence of correlation distance during the pile foundation design process. These results lay a foundation for further research on the pile foundation reliability design method.

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“…Piezocone penetration test (CPTU) technology, based on the traditional static CPT technology, is a standard and advanced in situ test method utilized in the geotechnical project site and has widely been used in geotechnical engineering because of its high accuracy, good repeatability, and low cost [16,17]. e CPTU can provide three types of data, namely, the pore pressure (u 2 ), the cone tip resistance (q c ), and the sleeve frictional resistance (f s ), and the CPTU gives near continuous parameters of a continuous geological section.…”

Section: Introductionmentioning

confidence: 99%

Evaluation Method for the Liquefaction Potential Using the Standard Penetration Test Value Based on the CPTU Soil Behavior Type Index

Gao

Liu

et al. 2019

Advances in Civil Engineering

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Taking the project of the Su-xin highway treated by using the resonant compaction method as the reference, a new method for the evaluation of liquefaction potential is proposed based on the piezocone penetration test (CPTU) and the standard penetration test (SPT). The soil behavior type index (Ic) obtained from CPTUs and the standard penetration test index (N63.5), obtained from SPTs, are analyzed for saturated silty sand and silt. The analysis result reveals a linear relationship between N63.5 and Ic, given by N63.5=−18.8Ic+52.0. The larger the value of Ic is, the greater the viscosity of soil is, and the smaller the value of N63.5 is. According to the method, liquefaction assessment of saturated silty sand and silt foundation can be conducted by using N63.5 based on the Code of Seismic Design of Building. N63.5 is expressed by a single Ic, which is calculated from the CPTU data. Compared with existing evaluation methods, this method can provide continuous standard penetration test values, moreover, this method involves a simple calculation, and the results obtained using the method are reliable.

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Characterization of spatial variability of CPTU data in a liquefaction site improved by vibro-compaction method

Cited by 15 publications

References 19 publications

Characterising three-dimensional anisotropic spatial correlation of soil properties through in situ test results

Characterising three-dimensional anisotropic spatial correlation of soil properties through in situ test results

Influence of Correlation Distance of Soil Parameters on Pile Foundation Failure Probability

Evaluation Method for the Liquefaction Potential Using the Standard Penetration Test Value Based on the CPTU Soil Behavior Type Index

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