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
 
possible combination of data to characterize the various geological layers of the site of the northern tunnel of GrenobleABSTRACT: The cluster analysis is a statistical method used for grouping data which have similar
mathematical characteristics in 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 characterisation. 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 clusteur, which uses for the statistical
variables the ratios: EM/p*l ; p*l/sv ; Ee/EM ; TanF as a first step. The first results relate to the
representativeness as of the these various variables to identify the soil horizons, and the best
possible combination of data to characterize the various geological layers of the site of the northern
tunnel of Grenoble