Probability, conditional probability and complementary cumulative distribution functions in performance assessment for radioactive waste disposal
نویسندگان
چکیده
منابع مشابه
Historical relationship between performance assessment for radioactive waste disposal and other types of risk assessment.
This article describes the evolution of the process for assessing the hazards of a geologic disposal system for radioactive waste and, similarly, nuclear power reactors, and the relationship of this process with other assessments of risk, particularly assessments of hazards from manufactured carcinogenic chemicals during use and disposal. This perspective reviews the common history of scientifi...
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Perhaps the most important single problem arising from the increasing use of atomic energy for peaceful purposes is how to dispose of the growing amounts of radioactive waste. Many of its complex aspects were discussed at the scientific conference on the disposal of radioactive waste held by IAEA in Monaco from 16 to 21 November 1959. The conference was organized jointly with UNESCO, with the c...
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The use of cement and concrete to immobilise radioactive waste is complicated by the wideranging nature of inorganic cementing agents available as well as the range of service environments in which cement is used and the different functions expected of cement. For example, Portland cement based concretes are widely used as structural materials for construction of vaults and tunnels. These const...
متن کاملProbability Generating Functions for Sattolo’s Algorithm
In 1986 S. Sattolo introduced a simple algorithm for uniform random generation of cyclic permutations on a fixed number of symbols. Recently, H. Prodinger analysed two important random variables associated with the algorithm, and found their mean and variance. H. Mahmoud extended Prodinger’s analysis by finding limit laws for the same two random variables.The present article, starting from the ...
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ژورنال
عنوان ژورنال: Reliability Engineering & System Safety
سال: 1996
ISSN: 0951-8320
DOI: 10.1016/s0951-8320(96)00072-5