TY - JOUR
T1 - Toward improvement of sampling-based seismic probabilistic safety assessment method for nuclear facilities using composite distribution and adaptive discretization
AU - Kwag, Shinyoung
AU - Choi, Eujeong
AU - Eem, Seunghyun
AU - Ha, Jeong Gon
AU - Hahm, Daegi
N1 - Publisher Copyright:
© 2021
PY - 2021/11
Y1 - 2021/11
N2 - As a seismic probabilistic safety assessment (SPSA) method for nuclear facilities, direct quantification of fault tree using the Monte Carlo simulation (DQFM) was developed to accurately consider the partial dependency between components. However, since this is a sampling-based method, there is a disadvantage in that a large number of samples must be extracted for accurate seismic risk estimation. Accordingly, this study develops an efficient SPSA method by improving the existing DQFM method. We replace the method of extracting samples from both seismic response and capacity at each component by that of taking samples only from a single response distribution with a composite deviation. Also, a method of adaptive discretization for seismic intensity (ADSI) is devised by linking the seismic intensity subdivision with the convergence of the final seismic risk. The Monte-Carlo sampling technique is replaced by the Latin hypercube sampling. As an application result to nuclear facilities, the proposed method requires only half samples for every seismic intensity than the existing DQFM method, while the accuracy of results was almost similar. Besides, through the ADSI method, the proposed method was able to secure approximately three times efficiency more than the existing DQFM method, without losing the accuracy of the results.
AB - As a seismic probabilistic safety assessment (SPSA) method for nuclear facilities, direct quantification of fault tree using the Monte Carlo simulation (DQFM) was developed to accurately consider the partial dependency between components. However, since this is a sampling-based method, there is a disadvantage in that a large number of samples must be extracted for accurate seismic risk estimation. Accordingly, this study develops an efficient SPSA method by improving the existing DQFM method. We replace the method of extracting samples from both seismic response and capacity at each component by that of taking samples only from a single response distribution with a composite deviation. Also, a method of adaptive discretization for seismic intensity (ADSI) is devised by linking the seismic intensity subdivision with the convergence of the final seismic risk. The Monte-Carlo sampling technique is replaced by the Latin hypercube sampling. As an application result to nuclear facilities, the proposed method requires only half samples for every seismic intensity than the existing DQFM method, while the accuracy of results was almost similar. Besides, through the ADSI method, the proposed method was able to secure approximately three times efficiency more than the existing DQFM method, without losing the accuracy of the results.
KW - DQFM
KW - Latin Hypercube Sampling (LHS)
KW - Nuclear power plant
KW - Sampling
KW - Seismic correlation
KW - Seismic probabilistic safety assessment
UR - http://www.scopus.com/inward/record.url?scp=85108728381&partnerID=8YFLogxK
U2 - 10.1016/j.ress.2021.107809
DO - 10.1016/j.ress.2021.107809
M3 - Article
AN - SCOPUS:85108728381
SN - 0951-8320
VL - 215
JO - Reliability Engineering and System Safety
JF - Reliability Engineering and System Safety
M1 - 107809
ER -