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Research Papers

Multifragmentation Markov Modeling of a Reactor Trip System

[+] Author and Article Information
Vyacheslav Kharchenko

Centre of Safety Infrastructure, Oriented Research and Analysis,
Kharkiv 61000, Ukraine
e-mail: v.kharchenko@csis.org.ua

Valentina Butenko

Department of Computers Systems and Networks,
National Aerospace University “KhAI,”
Kharkiv 61000, Ukraine e-mail: v.odarushchenko@csn.khai.edu

Oleg Odarushchenko

Research and Production Corporation Radiy,
Kirovograd 25009, Ukraine
e-mail: odarushchenko@gmail.com

Vladimir Sklyar

Research and Production Corporation Radiy,
Kirovograd 25009, Ukraine
e-mail: vvsklyar@mail.ru

Manuscript received August 19, 2014; final manuscript received November 6, 2014; published online May 14, 2015. Assoc. Editor: John F. P. de Grosbois.

ASME J of Nuclear Rad Sci 1(3), 031005 (May 14, 2015) (10 pages) Paper No: NERS-14-1037; doi: 10.1115/1.4029342 History: Received August 19, 2014; Accepted December 09, 2014; Online May 14, 2015

Markov models (MM) are widely used in dependability assessment of complex safety-critical systems. The main computational difficulties in using MMs are model size and stiffness. Selection of the solution approach (SA) and tools based on analysis of MM stiffness and complexity increases the assessment accuracy. This paper presents the safety assessment of nuclear power plan instrumentation and control system (NPP I&Cs): a two-channel FPGA-based reactor trip system with three parallel tracks on “2-out-of-3” logic. The MM was built using a multifragmentation approach and solved with several SAs and tools. The analysis of results shows few application problems: the importance of usability-oriented tool selection, achieving an accurate result, and supporting the results verification.

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References

Figures

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Fig. 1

The structure diagram of a typical track

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Fig. 2

Reliability-block diagram of two-channel three-track system

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Fig. 3

MM Of RTS in case of physical faults

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Fig. 5

MM of RTS in case of design faults

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Fig. 6

Comparison of the results obtained with STA for t=[0;10,000]

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