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Title: A probabilistic approach to rock mechanical property characterization for nuclear waste repository design

Abstract

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.

Authors:
;  [1]
  1. Columbia Univ., New York, NY (United States)
Publication Date:
Research Org.:
US Nuclear Regulatory Commission (NRC), Washington, DC (United States). Div. of Regulatory Applications; Southwest Research Inst., San Antonio, TX (United States). Center for Nuclear Waste Regulatory Analyses
OSTI Identifier:
433006
Report Number(s):
NUREG/CP-0150; CONF-9409238-
ON: TI96011022; TRN: 96:006559-0002
Resource Type:
Conference
Resource Relation:
Conference: Workshop on rock mechanics issues in repository design and performance assessment, Rockville, MD (United States), 19-20 Sep 1994; Other Information: PBD: Apr 1996; Related Information: Is Part Of Workshop on rock mechanics issues in repository design and performance assessment; PB: 265 p.
Country of Publication:
United States
Language:
English
Subject:
05 NUCLEAR FUELS; 36 MATERIALS SCIENCE; YUCCA MOUNTAIN; UNDERGROUND FACILITIES; SITE CHARACTERIZATION; ROCK MECHANICS; HIGH-LEVEL RADIOACTIVE WASTES; UNDERGROUND DISPOSAL; SPENT FUELS; TUFF; MECHANICAL PROPERTIES

Citation Formats

Kim, Kunsoo, and Gao, Hang. A probabilistic approach to rock mechanical property characterization for nuclear waste repository design. United States: N. p., 1996. Web.
Kim, Kunsoo, & Gao, Hang. A probabilistic approach to rock mechanical property characterization for nuclear waste repository design. United States.
Kim, Kunsoo, and Gao, Hang. 1996. "A probabilistic approach to rock mechanical property characterization for nuclear waste repository design". United States. https://www.osti.gov/servlets/purl/433006.
@article{osti_433006,
title = {A probabilistic approach to rock mechanical property characterization for nuclear waste repository design},
author = {Kim, Kunsoo and Gao, Hang},
abstractNote = {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.},
doi = {},
url = {https://www.osti.gov/biblio/433006}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Apr 01 00:00:00 EST 1996},
month = {Mon Apr 01 00:00:00 EST 1996}
}

Conference:
Other availability
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