Dynamic reliability analysis of AP1000 equipment cooling water system based on BDMP
Creators
- 1. School of Nuclear Science and Engineering North China Electric Power University, Beijing (China)
Description
CCS is a kind of repairable systems with double redundancy. The factors such as the alternate operation of redundant equipment and the repair of faulty equipment have a great influence on the reliability analysis results. Due to the lack of the description of time factors in traditional fault tree analysis, the analysis assumption is too conservative for such dynamic time series problems. In view of the above limitations of fault tree analysis, the dynamic reliability analysis of the AP1000 CCS is carried out by using the BDMP method driven by Boolean logic. Then, based on BDMP model, the simplest fault combination is derived, the system failure probability is calculated, and the main contribution factors of system failure are analyzed. The results show that the failure probability of CCS is sensitive to the CCF of the cooling water pump. Reducing the CCF of the pump can improve the reliability of CCS. (authors)
Additional details
Identifiers
Publishing Information
- Journal Title
- Nuclear Power Engineering
- Journal Volume
- 41
- Journal Issue
- 6
- Journal Page Range
- p. 138-142
- ISSN
- 0258-0926
INIS
- Country of Publication
- China
- Country of Input or Organization
- China
- INIS RN
- 55086539
- Subject category
- S21: SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS;
- Descriptors DEI
- FAULT TREE ANALYSIS; MARKOV PROCESS; PWR TYPE REACTORS; REACTOR COOLING SYSTEMS
- Descriptors DEC
- COOLING SYSTEMS; ENERGY SYSTEMS; ENRICHED URANIUM REACTORS; POWER REACTORS; REACTOR COMPONENTS; REACTORS; STOCHASTIC PROCESSES; SYSTEM FAILURE ANALYSIS; SYSTEMS ANALYSIS; THERMAL REACTORS; WATER COOLED REACTORS; WATER MODERATED REACTORS
Optional Information
- Notes
- 4 figs., 3 tabs., 9 refs.; http://dx.doi.org/10.13832/j.jnpe.2020.06.0138