Multivariate Clustering Analysis of the ECRB Cross Drift Discontinuities, Yucca Mountain Project
A great deal of effort has been made to characterize the nature of the discontinuities of the Yucca Mountain proposed nuclear waste repository. Discontinuity sets were identified, using orientation only as the basis of cluster analysis. Other discontinuity characteristics such as lithology fracture frequency, continuity, roughness, aperture, and infilling have been analyzed, but separate and divorced from the clustering analysis. The across drift data has been re-analyzed using a multivariate clustering analysis algorithm developed by the authors (CYL). This type of analysis represents a relatively recent development in characterizing the structure of rock masses. It characterizes discontinuities into subsets according to multiple parameters, such as orientation, spacing, and roughness, where rather than considering one variable at a time, a number of parameters can be treated simultaneously, so that the interactions between parameters are taken into account. The comprehensive algorithm has been developed into a software package. It enables fully automated multivariate clustering analysis and offers various visualization tools, such as a three dimensional stereonet, a stereoscopic view, a statistical table, and pie charts relating the other factors such as lithology continuity, roughness, aperture, and infilling back to each cluster.
N. H. Maerz and W. Zhuo, "Multivariate Clustering Analysis of the ECRB Cross Drift Discontinuities, Yucca Mountain Project," Proceedings of the 40th US Rocks Mechanics Symposium, American Rock Mechanics Association (ARMA), Jan 2005.
Geosciences and Geological and Petroleum Engineering
National Science Foundation (U.S.)
University of Missouri Research Board
Keywords and Phrases
Clustering Analysis; Nuclear Waste Repository
Library of Congress Subject Headings
Yucca Mountain (Nev.)
Article - Conference proceedings
© 2005 American Rock Mechanics Association (ARMA), All rights reserved.