Calibration of Vs prediction model based on SPT-N using conditional probability theory

T. Kishida, C. C. Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageBritish English
Title of host publicationProceedings of the 5th International Conference on Geotechnical and Geophysical Site Characterisation, ISC 2016
EditorsBarry M. Lehane, Hugo E. Acosta-Martinez, Richard Kelly
Pages1443-1446
Number of pages4
ISBN (Electronic)9780994626127
StatePublished - 2016
Event5th International Conference on Geotechnical and Geophysical Site Characterisation, ISC 2016 - Gold Coast, Australia
Duration: 5 Sep 20169 Sep 2016

Publication series

NameProceedings of the 5th International Conference on Geotechnical and Geophysical Site Characterisation, ISC 2016
Volume2

Conference

Conference5th International Conference on Geotechnical and Geophysical Site Characterisation, ISC 2016
Country/TerritoryAustralia
CityGold Coast
Period5/09/169/09/16

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