Current Status and Applications of Integrated Safety Assessment and Simulation Code System for ISA

Izquierdo, José María; Hortal, Javier; Perea, Miguel Sánchez; Meléndez, E.; Queral, César; Rivas-Lewicky, J.

doi:10.1016/j.net.2017.01.013

Cited by 10 publications

(6 citation statements)

References 11 publications

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“…State-space pruning consists of reducing the size of the state-space to be searched -for example, pruning is often used in graph search, where edges of the graph are removed according to some criteria [44]. In DPRA, state-space pruning typically consists mainly of truncation using probability thresholds or biases to limit the extent of branch exploration in DDETs [45,46,47,24], or using predefined knowledge of the state-space to avoid re-evaluating similar scenarios [21]. In the case of probability pruning, for example, events whose probabilities of occurring are lower than a certain threshold are not explored further, thus reducing the size of the explored state-space.…”

Section: State-space Pruningmentioning

confidence: 99%

Supervised dynamic probabilistic risk assessment: Review and comparison of methods

Maidana

Parhizkar²,

Gomola³

et al. 2023

Reliability Engineering & System Safety

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Section: State-space Pruningmentioning

confidence: 99%

Supervised dynamic probabilistic risk assessment: Review and comparison of methods

Maidana

Parhizkar²,

Gomola³

et al. 2023

Reliability Engineering & System Safety

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“…𝑃 𝐹𝐷𝐷𝑂 = 𝑃 𝐼 + 𝑃 𝐶 + 𝑃 𝑆 (1) Where 𝑃 𝐼 , 𝑃 𝐶 , and 𝑃 𝑆 , respectively, represent the failure probabilities for independent hardware failures, common cause hardware failures and software failures of digital components in RPS. The failure probabilities for independent hardware failures of RPS components represented by Markov chains can be calculated the following system of equations ( 2 in digital RPS can be obtained in a similar way by the following set of Equations ( 16) ∼ (27) and Equations ( 28) ∼ (34) of the Appendix. The variables notation and reliability parameter values are summarized in the following Table 1.…”

Section: System Failure Analysis Of Rps Using Markov/ccmtmentioning

confidence: 99%

“…An integrated safety assessment (ISA) methodology and tool are developed by J. M. Izquierdo et al. for automatic generation of dynamic event trees in 27 . A Monte Carlo approach is employed in probabilistic safety assessment of dynamic process systems by M. Marseguerra and E. Zio 28 .…”

Section: Introductionmentioning

confidence: 99%

“…An integrated safety assessment (ISA) methodology and tool are developed by J. M. Izquierdo et al for automatic generation of dynamic event trees in. 27 A Monte Carlo approach is employed in probabilistic safety assessment of dynamic process systems by M. Marseguerra and E. Zio. 28 A Dynamic Flowgraph Methodology (DFM) and safety analysis tool are developed by ASCA, Inc. [29][30][31] for modeling of nuclear and advanced technology system risk and reliability scenarios.…”

Section: Introductionmentioning

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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“…Even though basic ideas are comprehensible, it is complex to couple the Boolean algorithms and probabilistic calculation with dynamic accident progression. Simulation Code System for Integrated Safety Assessment (SCAIS; Ibánez et al, 2015;Izquierdo et al, 2017) is one of such DET computational tools, but the consideration of how to calculate the conditional probability online in DET simulation is not thoroughly discussed, especially when the branch probability is time-dependent or effected by process variables. Also, this issue is not clearly clarified in other DET software tools.…”

Section: Introductionmentioning

confidence: 99%

Research on Time-Dependent Failure Modeling Method of Integrating Discrete Dynamic Event Tree With Fault Tree

Zhang

et al. 2019

Front. Energy Res.

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The classical PRA methods, such as Event Tree Analysis (ETA), Fault Tree Analysis (FTA), Reliability block Diagram (RBD) are widely accepted throughout nuclear industry. ET/FT are generally based on static Boolean logic structure. ET is used to inductively model the accident progression to dictate all possible accident sequences based on engineering judgment and thermo-hydraulic analysis. FT is used to deductively model the system failure by a top-down, hierarchical tree to analyze all the possible combinations of failure events. But PRA methodology faces challenges including the treatment of time dependent interactions (accident dynamics) and the propagation of physical process uncertainties to risk. Dynamic PRA (DPRA) have been developed since 1980s. Under the framework of DPRA, many methods can lead to a more realistic risk assessment for nuclear power plant, originating from Dynamic Event Tree Analysis Method (DETAM; Acosta and Siu, 1992; Siu, 1994), Dynamic Logical Analytical Methodology (DYLAM; Cojazzi, 1996), Dynamic Event Tree (DET; Acosta and Siu, 1993). DPRA evaluates the timing and sequencing of events in accident progression and identifies the failure paths under all possible accident scenarios. DPRA is also treated as simulation-based PRA (Mosleh, 2014), or Integrated Deterministic and Probabilistic Safety Assessment (IDPSA), and related reviews and literatures can be found in the references (Aldemir, 2013; Zio, 2014). Among DPRA methods, DET can partially solve the problem of timing and ordering by coupling the stochastic analysis (reliability) with accident simulation. Along with theoretical research, mature modeling, and computational tools of DPRA have been developed for risk quantification and uncertainty analysis, like Accident

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Current Status and Applications of Integrated Safety Assessment and Simulation Code System for ISA

Cited by 10 publications

References 11 publications

Supervised dynamic probabilistic risk assessment: Review and comparison of methods

Supervised dynamic probabilistic risk assessment: Review and comparison of methods

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

Research on Time-Dependent Failure Modeling Method of Integrating Discrete Dynamic Event Tree With Fault Tree

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