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CPT-Based Probabilistic Characterization of Undrained Shear Strength of Clay
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-07
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Tian, Mi& Sheng, Xiaotao. 2020. CPT-Based Probabilistic Characterization of Undrained Shear Strength of Clay. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1125920
Modern Language Association (MLA)
Tian, Mi& Sheng, Xiaotao. CPT-Based Probabilistic Characterization of Undrained Shear Strength of Clay. Advances in Civil Engineering No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1125920
American Medical Association (AMA)
Tian, Mi& Sheng, Xiaotao. CPT-Based Probabilistic Characterization of Undrained Shear Strength of Clay. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1125920
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1125920