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Monte Carlo Simulations of the Degradation of the Engineered Barriers System in the Yucca Mountain Repository Using the EBSPA Code

Published online by Cambridge University Press:  19 October 2011

Zack Qin
Affiliation:
[email protected], The University of Western Ontario, Chemistry, Chemistry Building, The University of Western Ontario, London, Ontario, N6A 5B7, Canada
D. W. Shoesmith
Affiliation:
[email protected], The University of Western Ontario, London, Ontario, N6A 5B7, Canada
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Abstract

Based on a probabilistic model previously proposed, a Monte Carlo simulation code (EBSPA) has been developed to predict the lifetime of the engineered barriers system within the Yucca Mountain nuclear waste repository. The degradation modes considered in the EBSPA are general passive corrosion and hydrogen-induced cracking for the drip shield; and general passive corrosion, crevice corrosion and stress corrosion cracking for the waste package. Two scenarios have been simulated using the EBSPA code: (a) a conservative scenario for the conditions thought likely to prevail in the repository, and (b) a worst-case scenario in which the impact of the degradation processes is overstated.

Type
Research Article
Copyright
Copyright © Materials Research Society 2007

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References

1. CRWMS M&O, USDOE Report TDR-MGR-PA-000001 and 000007, (2001).Google Scholar
2. Gordon, G. M., Corrosion, 58, 811–825 (2002).Google Scholar
3. Qin, Z., and Shoesmith, D. W., in Proc. of NACE International Northern Area Eastern Conf., (Ottawa, Canada, 2003).Google Scholar
4. Qin, Z. and Shoesmith, D. W., in Scientific Basis for Nuclear Waste Management XXVIII, edited by Hanchar, J.M., Stroes-Gascoyne, S., and Browning, L., (MRS Proc. 824, San Francisco, CA, 2004), pp. 1118.Google Scholar
5. Qin, Z., Yan, L. and Shoesmith, D. W., in Proc. of International Topical Meeting on Probabilistic Safety Analysis, (San Francisco, CA, 2005), pp. 399406.Google Scholar
6. Shoesmith, D.W. and Kolar, M., EPRI Report TR-108732, 5–1 to 5–67 (1998).Google Scholar
7. Shoesmith, D.W. and Massari, J., EPRI Report No.1003031, 5–1 to 5–37 (2002).Google Scholar