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AbstractAbstract
[en] A probabilistic approach is proposed for the characterization of host rock mechanical properties at the Yucca Mountain site. This approach helps define the probability distribution of rock properties by utilizing extreme value statistics and Monte Carlo simulation. We analyze mechanical property data of tuff obtained by the NNWSI Project to assess the utility of the methodology. The analysis indicates that laboratory measured strength and deformation data of Calico Hills and Bullfrog tuffs follow an extremal. probability distribution (the third type asymptotic distribution of the smallest values). Monte Carlo simulation is carried out to estimate rock mass deformation moduli using a one-dimensional tuff model proposed by Zimmermann and Finley. We suggest that the results of these analyses be incorporated into the repository design
Original Title
Yucca Mountain Project
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Secondary Subject
Source
Nuclear Regulatory Commission, Washington, DC (United States). Div. of Regulatory Applications; Southwest Research Inst., San Antonio, TX (United States). Center for Nuclear Waste Regulatory Analyses; 265 p; Apr 1996; p. 25-36; Workshop on rock mechanics issues in repository design and performance assessment; Rockville, MD (United States); 19-20 Sep 1994; Also available from OSTI as TI96011022; NTIS; GPO
Record Type
Report
Literature Type
Conference
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