Sensitivity analysis on the effect of software-induced common cause failure probability in the computer-based reactor trip system unavailability

Kamyab, Shahabeddin; Nematollahi, Mohammadreza; Shafiee, Golnoush

doi:10.1016/j.anucene.2013.01.049

Cited by 19 publications

(6 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, ASME has defined the criteria for measures such as RRW and RAW. According to those criteria, components with RRW 1.005 and/or RAW 2.0 are considered high risk-contributing [9].…”

Section: A Work Approachmentioning

confidence: 99%

“…0018 Post-design probabilistic safety analysis to determine the sensitivity and risks of software and digital components has been performed by many researchers and operators. Kamyab et al, performed a probabilistic analysis to find the sensitivity and risk-share of software and software-induced CCFs in a digital reactor protection system [9]. Rahman et al, indicated that component sensitivity analysis is an important step toward the design of optimized I&C architecture because it uses the risk insights of component sensitivity analysis [10].…”

mentioning

confidence: 99%

See 1 more Smart Citation

Risk Informed Design of I&C Architecture for Research Reactors

Heo

2015

IEEE Trans. Nucl. Sci.

View full text Add to dashboard Cite

A deterministic design philosophy for systems, structures, and components of nuclear facilities, accepted by all stakeholders, has been adopted to address safety concerns. However, over-conservatism makes the design of nuclear facilities, especially research reactors, expensive; therefore, the industry needs to reevaluate its level of over-conservatism to obtain an optimized design. This paper proposes a probabilistic design and optimization approach for instrumentation & control (I&C) systems of research reactors based on sensitivity, availability criteria, and cost. Compared to commercial nuclear power plants, research reactors are sensitive to the cost competitiveness of I&C systems, so optimization of I&C system design is needed. As a case study, we formulated four architecture configurations for a reactor protection system and performed the reliability feature analysis, assessed cost, and computed reliability index. In addition to International Electrotechnical Commission (IEC) and American Society of Mechanical Engineers (ASME) criteria, we introduce the reliability index, a novel parameter describing the correlation between cost and reliability used to determine the point at which an I&C architecture has been optimized. To observe the significance of this study, we compared our results with a benchmark architecture. Our novel probabilistic design and optimization approach produced two optimized I&C architectures with design cost reductions of 30-40% compared to the benchmark architecture, while maintaining safety and availability.Index Terms-I&C Architecture, probabilistic design approach, reliability index, research reactors, sensitivity analysis, sensitivity.

show abstract

“…Similarly, ASME has defined the criteria for measures such as RRW and RAW. According to those criteria, components with RRW 1.005 and/or RAW 2.0 are considered high risk-contributing [9].…”

Section: A Work Approachmentioning

confidence: 99%

mentioning

confidence: 99%

Risk Informed Design of I&C Architecture for Research Reactors

Heo

2015

IEEE Trans. Nucl. Sci.

View full text Add to dashboard Cite

show abstract

“…The failure and perfect states of RPS I&C architecture are denoted by and are explained by the relation shown in (5). The numbers of combinations are 2 , where 2 represents the number of states and shows the number of channels.…”

Section: System Architecture and Bayesian Theorymentioning

confidence: 99%

“…There are many types of research reactors, such as pool, tank type, miniature, and so forth, with specific designs. However; the International Atomic Energy Agency (IAEA) performed studies on research reactors and categorized them into two: low power and medium (0.250-2.0 MW) and high power research reactors (2)(3)(4)(5)(6)(7)(8)(9)(10) [3,4]. A national endeavor for commercial standardized design is yet required.…”

Section: Introductionmentioning

confidence: 99%

“…Sensitivity study is important to get the insight of risk contribution from each component in a complex system. Kamyab et al made an endeavor to find the sensitivity of software and software induced common cause failures to digital reactor protection system using fault tree technique [5]. Due to digitization of I&C systems, Yaguang and Russell also proposed a systematic reliability estimation method for digital I&C systems which uses fault tree to find system unreliability, Boolean algebra to get minimal cut sets, and flow networks for software reliability [6].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sensitivity Study on Availability of I&C Components Using Bayesian Network

Ur¹,

Shin²,

Zubair³

et al. 2013

Science and Technology of Nuclear Installations

View full text Add to dashboard Cite

The objective of this study is to find out the impact of instrumentation and control (I&C) components on the availability of I&C systems in terms of sensitivity analysis using Bayesian network. The analysis has been performed on I&C architecture of reactor protection system. The analysis results would be applied to develop I&C architecture which will meet the desire reliability features and save cost. RPS architecture unavailabilityP(x=0)and availabilityP(x=1)were estimated to6.1276E-05and9.9994E-01for failure (0) and perfect (1) states, respectively. The impact of I&C components on overall system risk has been studied in terms of risk achievement worth (RAW) and risk reduction worth (RRW). It is found that circuit breaker failure (TCB), bi-stable processor (BP), sensor transmitter (TR), and pressure transmitter (PT) have high impact on risk. The study concludes and recommends that circuit breaker bi-stable processor should be given more consideration while designing I&C architecture.

show abstract