Monnet (2008) The use of Cluster Analysis for the Pressuremeter tests of the North Transversal tunnel in Grenoble

ABSTRACT: The cluster analysis is a statistical method used for grouping data which have similar
mathematical characteristics in a subset with common or homogeneous values. This method can be used in various fields of data for which no division a priori is known and can be useful in the case of the identification of the soil horizons, for site characterization. Cluster analyses for in-situ applications are composed of the following six steps: selection of variables; standardization of the data; resemblance distance matrix; choice of clustering technique; determining the number of clusters; interpretation of cluster results. Various types of in situ tests can be treated in this way like static We present here a first pressuremeter analysis by cluster, which uses for the statistical variables the ratios: EM/p*l ; p*l/Sigmav ; Ee/EM ; Tan(Phi) as a first step. The first results relate to the representativeness as of these various variables to identify the soil horizons, and the best