Analysis of common cause failure effect on system reliability in seismic PSA

Yu, Yu; Wang, Shengfei

doi:10.1016/j.pnucene.2014.04.020

Cited by 8 publications

(5 citation statements)

References 10 publications

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“…Since the joints undergo coordinated deformation, the internal force of the prefabricated component without joints is greater than or equal to that with joints, which is consistent with the conclusion obtained from the comparative analysis of the internal force of cast-in-place and fabricated station structures in relevant studies [31,49]. According to relevant literature, the change in seismic conditions [50][51][52] and peak acceleration [53][54][55] of a seismic wave will increase the seismic response of underground structures and, more importantly, will obviously change the seismic response characteristics. In order to further analyze the influence of the joint distribution on the seismic response of the fabricated station structure, the seismic conditions and peak acceleration were analyzed and the results are given in Sections 4.2 and 4.3 according to the research ideas of Section 4.1.…”

Section: Internal Forcesupporting

confidence: 87%

Effect Mechanism of Connection Joints in Fabricated Station Structures

He¹,

Li²

2021

Applied Sciences

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The seismic response of a fabricated subway station is a complex structural connection problem that depends on the mechanical properties of the joints. In order to obtain the optimal joint distribution of a fabricated station structure under earthquake action, three finite element models of a single ring structure of fabricated subway stations assembled with seven, five, and four prefabricated components were proposed. Seismic wave characteristics, peak acceleration, and coupled horizontal and vertical seismic components were considered to study the seismic response of the fabricated subway station structure with different forms of the joint distribution. The dynamic time history method was used to analyze the seismic response in three aspects: structure plastic strain, interlayer relative deformation, and internal force. The damage indexes and residual strength indexes of the joints were offered based on the concrete damage index to evaluate the joints’ damage degree. The results showed that the joints of the vault or bottom plate had little influence on the seismic response of the fabricated station structure. The sidewall joints had the obvious seismic response and the most severe damage under horizontal ground motion or coupled ground motion, which were the weak joints of the fabricated station structure. The existence of vertical ground motion aggravated the damage degree of sidewall joints, making the damage occurrence time of sidewall joints earlier and the damage end time extended. On the premise of meeting the mechanical load and site requirements, an assembly scheme with fewer prefabricated components can be selected.

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Section: Internal Forcesupporting

confidence: 87%

Effect Mechanism of Connection Joints in Fabricated Station Structures

He¹,

Li²

2021

Applied Sciences

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“…Furthermore, each probability of top event is determined by using fault tree analysis. Data of component failure is adopted AP1000 data which was published and IAEA generic data [8][9][10][11][12]. Finally, the total probability of event sequences are calculated.…”

Section: Kne Energymentioning

confidence: 99%

“…The analysis is done by using event tree and each probability of top event is calculated by using fault tree analysis. Failure rate of component used in calculation is based on AP1000 data that is published by Westinghouse and data from IAEA Tecdoc [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Sequence Analysis After Core Damage To Determine Safety Level Of The Ap1000

Tjahyani¹

2016

KEn

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In safety analysis, one of important parameters is core damage as this occasion can cause fission products to release. In that regard, all possible sequences afterward must be analyzed in order to ensure that all events have been considered, because each sequence has different consequence. The objective of this research is to determine the probability of event sequences after core damage so safety level of AP1000 could be known. The AP1000 reactor is chosen as the research object because currently many units are under construction. In this research the accident sequences were analyzed by using event tree, and the probability of top event was calculated by fault tree analysis. Meanwhile, the failure rates of component or operator action were collected from IAEA documents and also published documents of the AP1000 from Westinghouse Inc. The analysis results show that probability of event sequences which causes fission product release is ranging from 10 -2 to 10 -26 and the total probability is 3, 48 x 10 -2. Based on this analysis, it can be concluded that the AP1000 has high safety level because the probability of event sequences leading to fission product release is small. Moreover, if these results are joined with core damage probability then probability of fission product release would be less than 10 -9.

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“…In addition, the research based on CCF has many results in power systems, energy systems, and other fields. [26][27][28][29] Among the abundant studies in the literature mentioned, the bi-level maintenance strategy is researched, and the common cause failure is also combined with other problems to discuss. However, the problem of how to reasonably allocate the repairmen with multiple levels has not been solved when considering common cause failure.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the research based on CCF has many results in power systems, energy systems, and other fields. 26–29…”

Section: Introductionmentioning

confidence: 99%

Reliability analysis of k-out-of-n: G repairable systems considering common cause failure and multi-level maintenance strategy

Dong

Jia

2022

Proceedings of the Institution of Mechanical Engineers, Part O:

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A common cause failure occurs when two or more elements fail due to a shared cause. The system with such failure often needs different repairmen and a multi-level maintenance strategy. The paper studies the reliability of k-out-of-n: G repairable systems considering common cause failure and multi-level maintenance strategy. The models with a multi-level maintenance strategy are established by considering the failure of all and partial components due to common cause failure. The reliability indices of the systems, such as availability and the mean time to first failure, are derived. An optimization maintenance model is established by minimizing the cost, and a three-level maintenance strategy is determined. Numerical examples are provided to illustrate the application. The results show that the multi-level maintenance strategy improves the system reliability and reduces the maintenance costs of systems with common cause failure.

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Analysis of common cause failure effect on system reliability in seismic PSA

Cited by 8 publications

References 10 publications

Effect Mechanism of Connection Joints in Fabricated Station Structures

Effect Mechanism of Connection Joints in Fabricated Station Structures

Sequence Analysis After Core Damage To Determine Safety Level Of The Ap1000

Reliability analysis of k-out-of-n: G repairable systems considering common cause failure and multi-level maintenance strategy

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