A flexible optimization algorithm for GO-FLOW methodology to deal with shared signals

Zheng, Li-Cheng; Dai, Xinyu; Yang, Jun; Yang, Ming; Liu, Hongxing

doi:10.1016/j.anucene.2021.108200

Cited by 2 publications

(5 citation statements)

References 13 publications

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“…The most common flaw of GO‐FLOW is the inability to directly derive the minimum cut sets (can be routinely obtained by FTA/ETA) from the number clustering renamed for shared signal processing. It is therefore in one of our recent studies, 58 a flexible optimization algorithm for GO‐FLOW methodology to deal with shared signals is newly proposed to provide exact solutions with high computational performance. The algorithm flow chart illustrated for GO‐FLOW modeling and analysis is presented in Figure 4.…”

Section: A Success‐oriented Algorithm For Multi‐phase Dynamic Mission...mentioning

confidence: 99%

“…In particular, the tagged shared signals are used as inputs to conditional judgment for post‐processing renaming of ideal signals that are outputted by GO‐FLOW operators. The principles used for renaming of ideal signals in qualitative GO‐FLOW analysis are not repeatedly described here since it has already been in detail elaborated in our previous study 58 …”

Section: A Success‐oriented Algorithm For Multi‐phase Dynamic Mission...mentioning

confidence: 99%

“…The high‐order replicated signals will be handled first to improve the efficiency of analytical calculation. The detailed total probability decomposition process implemented for quantification of complete set of minimal path sets can be referred to one of our recent publications 58 …”

Section: A Success‐oriented Algorithm For Multi‐phase Dynamic Mission...mentioning

confidence: 99%

“…The principles used for renaming of ideal signals in qualitative GO-FLOW analysis are not repeatedly described here since it has already been in detail elaborated in our previous study. 58 Step-6: Graph-based traversal search analysis. The qualitative reliability analysis of GO-FLOW model can be implemented using graph-based traversal search analysis, in which GO-FLOW operators composed for GO-FLOW model can be regarded as nodes and the signal flow connected between GO-FLOW operators can be taken as a transition between two adjacent nodes.…”

Section: F I G U R E 4 the Procedures For Go-flow Modeling And Analysismentioning

confidence: 99%

“…The detailed total probability decomposition process implemented for quantification of complete set of minimal path sets can be referred to one of our recent publications. 58 Besides the basic reliability analysis, GO-FLOW can also be applied to dynamic reliability analysis of multi-phase mission systems. As shown in Figure 5, the multi-phase missions can be directly modeled by the Type-40 GO-FLOW operator.…”

Section: F I G U R E 4 the Procedures For Go-flow Modeling And Analysismentioning

confidence: 99%

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A hybrid computing framework for risk‐oriented reliability analysis in dynamic PSA context: A case study

Jiang

et al. 2022

Quality & Reliability Eng

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Nowadays, the emerging digital technologies and digitalization trend in safety‐critical industrial process systems are bringing great opportunities for system performance improvements. However, new big challenges are also encountered in the reliability and safety evaluation of large complex industrial process systems due to its multi‐state, multi‐phase dynamic interactions, resilience on software and inter‐dependencies among digital components. The objectives of this study are i) to present an introductory overview of a hybrid computing framework as a supplementary to conventional fault tree analysis toolkit for risk‐oriented reliability analysis in dynamic probabilistic safety assessment context; ii) to illustrate how to combine the three methods of DDET, Markov/CCMT, and GO‐FLOW for integrated risk solutions by a case study of small‐break LOCA in nuclear power plants. Within the hybrid computing framework, the DDET model is implemented based on graph‐based search and sequence diagram refactoring by linking with Markov/CCMT and GO‐FLOW solver for branch probability estimation. The dynamic event tree model is adopted to represent the accident sequence of small‐break LOCA, where the heading events of system failure of digital RPS and phased‐mission ECCS in realization of safety‐critical functions of reactivity control and emergency core cooling are respectively modeled and analyzed by Markov chain and GO‐FLOW method. The demonstration results show that the failure analysis of complex dynamic process interactions together with time‐dependent mission reliability analysis of safety systems involved in accident prevention and mitigation can be easily implemented with accurate modeling and fast evaluation within the hybrid integration platform. The core algorithms and principles implemented for dynamic risk scenarios development by DDET, modeling, and analysis of dynamic process interactions by Markov/CCMT, time‐dependent and multi‐phase mission reliability analysis by GO‐FLOW as well as their integration to provide comprehensive solutions for the application of dynamic reliability in risk assessment are also discussed as open problems for future research.

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Section: A Success‐oriented Algorithm For Multi‐phase Dynamic Mission...mentioning

confidence: 99%

Section: A Success‐oriented Algorithm For Multi‐phase Dynamic Mission...mentioning

confidence: 99%

Section: A Success‐oriented Algorithm For Multi‐phase Dynamic Mission...mentioning

confidence: 99%

Section: F I G U R E 4 the Procedures For Go-flow Modeling And Analysismentioning

confidence: 99%

Section: F I G U R E 4 the Procedures For Go-flow Modeling And Analysismentioning

confidence: 99%

See 3 more Smart Citations

A hybrid computing framework for risk‐oriented reliability analysis in dynamic PSA context: A case study

Jiang

et al. 2022

Quality & Reliability Eng

View full text Add to dashboard Cite

show abstract

Reliability analysis of cold-standby phased-mission system based on GO-FLOW methodology and the universal generating function

Liu

et al. 2023

Reliability Engineering & System Safety

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A flexible optimization algorithm for GO-FLOW methodology to deal with shared signals

Cited by 2 publications

References 13 publications

A hybrid computing framework for risk‐oriented reliability analysis in dynamic PSA context: A case study

A hybrid computing framework for risk‐oriented reliability analysis in dynamic PSA context: A case study

Reliability analysis of cold-standby phased-mission system based on GO-FLOW methodology and the universal generating function

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