@inproceedings{79e69a44c5f44072bf49525643dd98b7,
title = "Calibration of Vs prediction model based on SPT-N using conditional probability theory",
abstract = "Prediction models of shear wave velocity (Vs) based on the standard penetration test (SPT) blow counts (N) are widely used in design practice. However, application of these models is limited because these models are typically ranged between regions. Moreover, it is difficult to calibrate the regression parameters for a site specific condition if multicollinearity exists in the model. This paper proposes a calibration procedure for developing a site specific Vs prediction model. The framework is based on conditional probability theory by developing correlations of model parameters from a global database. An application example is presented to develop the site specific Vs prediction model based on the available local N measurements. The framework of the conditional probability theory provides the rational approach to calibrate the site specific Vs prediction model.",
author = "T. Kishida and Tsai, {C. C.}",
note = "Publisher Copyright: {\textcopyright} 2016 Australian Geomechanics Society.; 5th International Conference on Geotechnical and Geophysical Site Characterisation, ISC 2016 ; Conference date: 05-09-2016 Through 09-09-2016",
year = "2016",
language = "British English",
series = "Proceedings of the 5th International Conference on Geotechnical and Geophysical Site Characterisation, ISC 2016",
pages = "1443--1446",
editor = "Lehane, {Barry M.} and Acosta-Martinez, {Hugo E.} and Richard Kelly",
booktitle = "Proceedings of the 5th International Conference on Geotechnical and Geophysical Site Characterisation, ISC 2016",
}