Infill sampling design for tunnel rock classification

K. You, R. J. Barnes

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

In tunnelling projects, situations lacking direct measurements are often encountered due to economic constraints. Instead, an appreciable amount of qualitative data generally exist. A statistical method for classification of a rock mass and infill sampling design was developed based on the indicator kriging formalism, which is a non-parametric approach, and the cost of errors criterion developed for the binary classification by Aspie and Barnes. For the multiple classification of a rock mass, the cost of error criterion was generalized and reformulated. As a case study, the application of this method is given with real tunnel data.

Original languageEnglish (US)
Pages (from-to)207-215
Number of pages9
JournalInternational journal of rock mechanics and mining sciences & geomechanics abstracts
Volume34
Issue number2
DOIs
StatePublished - Feb 1 1997

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