Effects of Spatial Correlation on the Compression Behavior of a Cement-Treated Column

Namikawa, Tsutomu; Koseki, Junichi

doi:10.1061/(asce)gt.1943-5606.0000850

Cited by 59 publications

(31 citation statements)

References 19 publications

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“…The model in this study adopts the geometric size and boundary conditions proposed by Namikawa and Koseki [16]. The results of their study serve as a benchmark to validate the model as well as the random field generation used in this study.…”

Section: Model Setupmentioning

confidence: 98%

“…This replacement might mitigate the effort to evaluate the specific form of a mean trend in a soil-cement column from limited field data. Namikawa and Koseki [16] conducted a series of parametric studies on a sand-cement column with a constant mean. By applying the findings shown in Fig.…”

Section: Cases With Mean Trend and Stochastic Fluctuationmentioning

confidence: 99%

“…As an extension of the work of Namikawa and Koseki [16], this study examines the columnar structure in the UCS of a soil-cement column. The anisotropy of heterogeneity was considered by adopting different scales of fluctuation (SOFs) in the cross-section plane and along the axial direction (see illustrations in Figs.…”

Section: Introductionmentioning

confidence: 99%

“…If a conditional probability distribution is used, prior information collected at the locations of cored samples can be incorporated into the random field as well [15]. Namikawa and Koseki [16] examined the effect of spatial correlation on the overall behaviour of an axially loaded column by finite element analysis, where the strength and modulus of the material were considered to be random fields. This method was able to readily obtain the mean and standard deviation of the overall strength of a full-scale column.…”

Section: Introductionmentioning

confidence: 99%

“…In the study conducted by Namikawa and Koseki [16], the cement-treated sand was considered to be statistically homogeneous; that is, the mean, variance and autocorrelation function of the UCS are all constant within the whole column. However, it may not be the case that variations in UCS are completely random.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Statistical evaluation of the overall strength of a soil-cement column under axial compression

Liu

et al. 2017

Construction and Building Materials

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Section: Model Setupmentioning

confidence: 98%

Section: Cases With Mean Trend and Stochastic Fluctuationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Statistical evaluation of the overall strength of a soil-cement column under axial compression

Liu

et al. 2017

Construction and Building Materials

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Probabilistic analysis of overall strength of a cement‐treated soil column considering statistical uncertainty and spatial variability

Namikawa

2020

Num Anal Meth Geomechanics

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A finite-element method (FEM) analysis incorporating with random field theory is a powerful tool to predict the behavior of ground improvement by deep cement mixing with spatial variability. In the analysis, statistical parameters of the strength (i.e., mean, variance, and autocorrelation distance) are normally held constant. However, these parameters involve a statistical uncertainty when evaluated from strengths of core samples retrieved from the cement-treated soil columns. This study presents a probabilistic analysis framework to evaluate the overall strength of a cement-treated soil column considering the statistical uncertainty and spatial variability of the core strength. A Bayesian inference analysis and an FEM analysis incorporating with the random field theory are combined in a Monte Carlo framework to simultaneously consider the statistical uncertainty and spatial variability. The statistical uncertainty of the core strength is evaluated by the Bayesian inference approach, where the probability distribution of the statistical parameters is inferred from the observation data. The inferred statistical parameters of the strength are used for generating random field realizations, and the FEM analysis is conducted on the generated realizations. An example analysis is conducted to illustrate the details of the approach. The results of the example simulation demonstrate that the proposed framework can provide the probabilistic characteristic of the overall strength of the cement-treated column when the statistical uncertainty and the spatial variability of the core strength need to be simultaneously considered.

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Finite Element Analysis for Deep Mixing Column Considering Statistical Uncertainty

Namikawa

2021

Challenges and Innovations in Geomechanics

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Effects of Spatial Correlation on the Compression Behavior of a Cement-Treated Column

Cited by 59 publications

References 19 publications

Statistical evaluation of the overall strength of a soil-cement column under axial compression

Statistical evaluation of the overall strength of a soil-cement column under axial compression

Probabilistic analysis of overall strength of a cement‐treated soil column considering statistical uncertainty and spatial variability

Finite Element Analysis for Deep Mixing Column Considering Statistical Uncertainty

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