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 language||English (US)|
|Number of pages||9|
|Journal||International journal of rock mechanics and mining sciences & geomechanics abstracts|
|State||Published - Feb 1 1997|