Please use this identifier to cite or link to this item: https://doi.org/10.1061/(ASCE)GT.1943-5606.0000573
Title: Updating uncertainties in friction angles of clean sands
Authors: Ching, J.
Chen, J.-R.
Yeh, J.-Y.
Phoon, K.-K. 
Keywords: Bayesian analysis
Clean sands
Correlation
Friction angle
Uncertainty
Issue Date: 26-May-2011
Source: Ching, J., Chen, J.-R., Yeh, J.-Y., Phoon, K.-K. (2011-05-26). Updating uncertainties in friction angles of clean sands. Journal of Geotechnical and Geoenvironmental Engineering 138 (2) : 217-229. ScholarBank@NUS Repository. https://doi.org/10.1061/(ASCE)GT.1943-5606.0000573
Abstract: It is essential to characterize the uncertainties of soil shear strengths, including friction angles of sands, for geotechnical reliability-based design. In particular, it is of practical interest to update the uncertainties in friction angles on the basis of all available information by correlation, given the considerable cost of a typical site investigation. Although it is relatively simple to update uncertainties by correlation when the information is one dimensional (1D) or univariate, it is quite challenging to update uncertainties by using multivariate information through multiple correlations. This study proposes a systematic way of constructing multivariate correlations on friction angles of reconstituted clean sands. A set of simplified equations are obtained through Bayesian analysis for the purpose of updating uncertainties. The inputs to the equations are the results of field and laboratory tests, and the outputs are the updated mean values and standard deviations of the friction angles. Test databases are used to demonstrate the consistency of the proposed simplified equations. Results show that uncertainties in friction angles can be effectively reduced by incorporating multivariate information. Given that reliability-based design can justify more economical design with updated uncertainties, the proposed equations essentially link the value of more and/or better tests directly to final design savings. © 2012 American Society of Civil Engineers.
Source Title: Journal of Geotechnical and Geoenvironmental Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/59251
ISSN: 10900241
DOI: 10.1061/(ASCE)GT.1943-5606.0000573
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

25
checked on Dec 7, 2017

WEB OF SCIENCETM
Citations

24
checked on Nov 22, 2017

Page view(s)

35
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.