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Outlier detection for hyperbolic model for consolidation settlement

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  Paper number  023039,  2002 ASAE Annual Meeting . (doi: 10.13031/2013.9621) @2002
Authors:   Chang, PyoungWuck, Woo, ChullWoong
Keywords:   Linear regression, Outlier, Hyperbolic method, Consolidation, Settlement

Hyperbolic relationship is used for many engineering problems such as stress-strain relationship of soil and consolidation of soft soil. In this study, the outlier characteristics of linear regression of the hyperbolic method for ultimate settlement estimation were examined using studentized residual method as an outlier detection method. It was found that conventional outlier detection procedure is not satisfactory. A new regression procedure based on outliers and suitable range selection was proposed. The proposed method predicts nearly exact asymptotic value of hyperbola. The method can be applied on engineering problems, which are described by a hyperbolic model.

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