TY - GEN
T1 - Measuring risk importance in a dynamic PRA framework
AU - Mandelli, D.
AU - Ma, Z.
AU - Parisi, C.
AU - Alfonsi, A.
AU - Smith, C.
N1 - Publisher Copyright:
© 2017 by American Nuclear Society. All rights reserved.
PY - 2017
Y1 - 2017
N2 - Risk importance measures are indexes that are used to rank systems, structures and components (SSCs) using risk-informed methods. The most used/known measures are: Risk Reduction Worth (RRW), Risk Achievement Worth (RAW), Birnbaum (B) and Fussell-Vesely (FV). Once obtained from classical Probabilistic Risk Analysis (PRA) analyses, these risk measures can be effectively employed to optimize component testing and maintenance. In contrast to classical PRA methods, Dynamic PRA methods couple stochastic methods with safety analysis codes to determine risk associate to complex systems such as nuclear plants. Compared to classical PRA methods, they can evaluate with higher resolution the safety impact of timing and sequencing of events on the accident progression. The objective of this paper is to present a series of algorithms that can be used to determine classical risk importance measures (RRW, RAW, B and FV) along with newly developed ones from a Dynamic PRA analysis.
AB - Risk importance measures are indexes that are used to rank systems, structures and components (SSCs) using risk-informed methods. The most used/known measures are: Risk Reduction Worth (RRW), Risk Achievement Worth (RAW), Birnbaum (B) and Fussell-Vesely (FV). Once obtained from classical Probabilistic Risk Analysis (PRA) analyses, these risk measures can be effectively employed to optimize component testing and maintenance. In contrast to classical PRA methods, Dynamic PRA methods couple stochastic methods with safety analysis codes to determine risk associate to complex systems such as nuclear plants. Compared to classical PRA methods, they can evaluate with higher resolution the safety impact of timing and sequencing of events on the accident progression. The objective of this paper is to present a series of algorithms that can be used to determine classical risk importance measures (RRW, RAW, B and FV) along with newly developed ones from a Dynamic PRA analysis.
UR - https://www.scopus.com/pages/publications/85047806012
M3 - Conference contribution
AN - SCOPUS:85047806012
T3 - International Topical Meeting on Probabilistic Safety Assessment and Analysis, PSA 2017
SP - 1069
EP - 1076
BT - International Topical Meeting on Probabilistic Safety Assessment and Analysis, PSA 2017
PB - American Nuclear Society
T2 - 2017 International Topical Meeting on Probabilistic Safety Assessment and Analysis, PSA 2017
Y2 - 24 September 2017 through 28 September 2017
ER -