Characterization of the Reduction in Undrained Shear Strength in Fine-Grained Soils due to Cyclic Loading

2019 ◽  
Vol 145 (5) ◽  
pp. 04019017 ◽  
Author(s):  
Beena Ajmera ◽  
Thomas Brandon ◽  
Binod Tiwari
Keyword(s):  
Shear Strength ◽  
Cyclic Loading ◽  
Undrained Shear Strength ◽  
Fine Grained ◽  
Undrained Shear

Estimation of the undrained shear strength of Adapazari fine grained soils by cone penetration test

2019 ◽  
Vol 261 ◽  
pp. 105277 ◽  
Author(s):  
Ertan Bol ◽  
Akın Önalp ◽  
Aşkın Özocak ◽  
Sedat Sert
Keyword(s):  
Shear Strength ◽  
Cone Penetration Test ◽  
Undrained Shear Strength ◽  
Penetration Test ◽  
Cone Penetration ◽  
Fine Grained ◽  
Undrained Shear

scholarly journals CPT-Based Probabilistic Characterization of Undrained Shear Strength of Clay

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Mi Tian ◽  
Xiaotao Sheng
Keyword(s):  
Shear Strength ◽  
Correlation Function ◽  
Random Field ◽  
Site Investigation ◽  
Undrained Shear Strength ◽  
Bayesian Approaches ◽  
Probabilistic Characterization ◽  
Undrained Shear

Applying random field theory involves two important issues: the statistical homogeneity (or stationarity) and determination of random field parameters and correlation function. However, the profiles of soil properties are typically assumed to be statistically homogeneous or stationary without rigorous statistical verification. It is also a challenging task to simultaneously determine random field parameters and the correlation function due to a limited amount of direct test data and various uncertainties (e.g., transformation uncertainties) arising during site investigation. This paper presents Bayesian approaches for probabilistic characterization of undrained shear strength using cone penetration test (CPT) data and prior information. Homogeneous soil units are first identified using CPT data and subsequently assessed for weak stationarity by the modified Bartlett test to reject the null hypothesis of stationarity. Then, Bayesian approaches are developed to determine the random field parameters and simultaneously select the most probable correlation function among a pool of candidate correlation functions within the identified statistically homogeneous layers. The proposed approaches are illustrated using CPT data at a clay site in Shanghai, China. It is shown that Bayesian approaches provide a rational tool for proper determination of random field model for probabilistic characterization of undrained shear strength with consideration of transformation uncertainty.

scholarly journals Simple Method for Prediction of Undrained Shear Strength of Saturated Soil Subjected to Cyclic Loading

2020 ◽  
Vol 15 (2) ◽  
pp. 241-256
Author(s):  
Kazuhiro UENO ◽  
Akira IZUMI ◽  
Antoine DUTTINE ◽  
Sumio YAZAKI ◽  
Toshikazu HORI
Keyword(s):  
Shear Strength ◽  
Cyclic Loading ◽  
Undrained Shear Strength ◽  
Saturated Soil ◽  
Simple Method ◽  
Undrained Shear

scholarly journals Statistical Analysis on Shear Strength Parameter from Index Properties of Fine-grained Soils

2021 ◽  
pp. 15-28
Author(s):  
Tariku Tafari Bakala ◽  
Emer Tucay Quezon ◽  
Mohammed Yasin
Keyword(s):  
Shear Strength ◽  
Statistical Analysis ◽  
Linear Regression ◽  
Statistical Models ◽  
Undrained Shear Strength ◽  
Strength Parameter ◽  
Index Properties ◽  
Fine Grained ◽  
Shear Strength Parameter ◽  
Undrained Shear

Shear strength is the essential engineering property of soil required to analyze and design foundations, retaining walls, bridges, embankment, and related infrastructure. The laboratory equipment and field instruments are not sufficient in developing countries to obtain soil engineering properties, especially strength properties. Thus, Geotechnical engineers usually endeavor to develop statistical models that best fit a particular area and soil type, especially for analysis and design purposes. In this research, a Statistical Analysis on the Shear Strength parameter from the Index Properties of Fine-Grained Soils was studied. For predicting the undrained shear strength parameter, single linear regression (SLR) and multiple linear regressions (MLR) analyses were developed. To develop the intended statistical models for a study, SAS JMP Pro 13, SPSS v22, and Microsoft Excel-2013 software were introduced. The results of a  study indicated that undrained shear strength(Cu) was significantly correlated with liquid limit(LL), plastic limit(PL), bulk density (ρbulk), dry density(ρdry), natural moisture content(NMC), and plasticity index(PI). While it was not significantly correlated with a specific gravity (Gs) and liquidity index (LI) of study area soil. Finally, a strong Model of Cu with a coefficient of determination (R2 = 0.806), good significance level, and less Std. error was obtained from multiple linear regression (MLR) analysis. The developed model can figure undrained shear strength parameter and wide application in the construction industry to minimize the cost, effort, and time for laboratory tests of shear strength parameter of a study area.

scholarly journals Evaluation of Undrained Shear Strength of Fine-Grained Soils in Consideration of Soil Plasticity

2016 ◽  
Vol 36 (3) ◽  
Author(s):  
Kamil KAYABALI ◽  
Özgür AKTÜRK ◽  
Mustafa FENER ◽  
Ayla BULUT ÜSTÜN ◽  
Orhan DİKMEN ◽  
...  
Keyword(s):  
Shear Strength ◽  
Undrained Shear Strength ◽  
Soil Plasticity ◽  
Fine Grained ◽  
Undrained Shear

Geotechnical properties of soft clays from the Witch Ground Basin, central North Sea

1991 ◽  
Vol 7 (1) ◽  
pp. 151-156 ◽  
Author(s):  
M. A. Paul ◽  
L. M. Jobson
Keyword(s):  
Shear Strength ◽  
Undrained Shear Strength ◽  
Geotechnical Properties ◽  
Seismic Surveys ◽  
Soft Clays ◽  
Fine Grained ◽  
Acoustic Signatures ◽  
The Witch ◽  
Central North Sea ◽  
Undrained Shear

AbstractThe Witch Ground Basin to the northeast of Peterhead is occupied by Late to Postglacial clays which reach a maximum thickness of over forty metres. High resolution seismic surveys have shown that the Sediments can be divided into two stratigraphic units on the basis of their acoustic signatures: the upper Witch Ground Formation shows in its lower part a finely detailed pattern of laterally continuous multiple reflectors, whereas the lower Swatchway and Coal Pit Formations present a disorganised signature in which few reflectors are continuous.Profiles of bulk density, water content and undrained shear strength have been obtained from two continuously sampled, adjacent boreholes which penetrated the sediments to a depth of forty metres. These show that the deposits of the Witch Ground Basin comprise a single geotechnical unit with the properties expected of a fine grained sediment of glaciomarine origin. The principal geotechnical properties change gradationally as a result of changes in composition and from selfweight compression. The different seismic signatures on which the basin stratigraphy is based are not reflected by major geotechnical changes within the sediment, but may well result from secondary features of the geotechnical profile.

scholarly journals Evaluation of undrained shear strength of Swedish fine-grained sulphide soils

2015 ◽  
Vol 188 ◽  
pp. 77-87 ◽  
Author(s):  
Bo Westerberg ◽  
Rasmus Müller ◽  
Stefan Larsson
Keyword(s):  
Shear Strength ◽  
Undrained Shear Strength ◽  
Fine Grained ◽  
Undrained Shear
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