Subset Simulation of a reliability model for radioactive waste repository performance assessment
Creators
- 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.2011.12.012Additional 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.