Published April 2012 | Version v1
Journal article

Subset Simulation of a reliability model for radioactive waste repository performance assessment

  • 1. Politecnico di Milano – Dipartimento di Energia, Milan (Italy)
  • 2. Chair on Systems Science and the Energetic challenge, European Foundation for New Energy-Électricité de France, Ecole Centrale Paris and Supelec (France)

Description

In this paper, we show an original application of the Subset Simulation (SS) technique on a model for the performance assessment of a near surface radioactive waste repository. The logic of the protective barriers of the repository is represented by a reliability model. The SS approach is founded on the idea that a small failure probability can be expressed as a product of larger conditional probabilities of some intermediate events; with a proper choice of the conditional events, the conditional probabilities can be sufficiently large to allow accurate estimation with a small number of samples. In the application, the method allows improving the efficiency of the random sampling for estimating the repository containment failure probability. Moreover, the peculiar set-partitioning scheme of the SS method is exploited for performing the analysis of the sensitivity of the failure probability estimate to the uncertain model parameters.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ress.2011.12.012

Additional details

Identifiers

DOI
10.1016/j.ress.2011.12.012;
PII
S0951-8320(11)00275-4;

Publishing Information

Journal Title
Reliability Engineering and System Safety
Journal Volume
100
Journal Page Range
p. 75-83
ISSN
0951-8320
CODEN
RESSEP

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
43093232
Subject category
S42: ENGINEERING;
Descriptors DEI
COMPUTERIZED SIMULATION; CONTAINMENT; EFFICIENCY; FAILURES; MONTE CARLO METHOD; PROBABILITY; RADIOACTIVE WASTE FACILITIES; RADIOACTIVE WASTES; RANDOMNESS; RELIABILITY; SAMPLING; SENSITIVITY
Descriptors DEC
CALCULATION METHODS; MATERIALS; NUCLEAR FACILITIES; RADIOACTIVE MATERIALS; SIMULATION; WASTES

Optional Information

Copyright
Copyright (c) 2012 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.