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Towards Tool Support for Design and Safety Analysis of High Consequence Arming Systems Using Matlab

  • Dan Slipper
  • Wilson Ifill
  • Gordon Hunter
  • Roger Green
  • Richard Johnson
  • Alistair A. McEwan
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 113)

Abstract

High consequence arming systems are designed to prevent unwanted external (or potentially internal) energy flowing to a critical component without intention. The hazard analysis of such systems can be a slow and difficult manual process, potentially repeated in various life-cycle phases or on multiple design options. This paper details a simulation tool under development at AWE to provide a fast and repeatable analysis process. The simulation generates a set of possible paths along which different energy types could potentially propagate through the system. Behaviour identified by the tool can support the design of the system and selection of an architecture providing assurance of safety whilst still providing reliability. We present an outline of the model development process, results from its use with a case study and demonstrate the advantages over manual analysis. A number of limitations of the current implementation are discussed, we then propose future work aimed at alleviating some of these issues.

Keywords

safety analysis matlab simulation propagation 

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References

  1. 1.
    Davis, J.: Integrated Safety, Reliability, and Diagnostics of High Assurance, High Consequence Systems, Electrical Engineering (May 2000)Google Scholar
  2. 2.
    Department of Defense. Standard Practice for System Safety MIL-STD-882D (1993)Google Scholar
  3. 3.
    Johnson, C.R.: Methodology for Designing and Analyzing High Consequence Arming Systems. In: Livingston, J.M., Barnes, R., Swallom, D., Pottraz, W. (eds.) Proceedings of the US Joint Weapons Systems Safety Conference 2009, Huntsville, Alabama, pp. 552–561 (2009) ISBN 9781617387142Google Scholar
  4. 4.
    Ministry of Defence. JSP538 - Regulation of the Nuclear Weapon Programme (2008)Google Scholar
  5. 5.
    Ministry of Defence. JSP372 - Approving Authority Management Arrangements for the Trident Re-entry System (2011)Google Scholar
  6. 6.
    Budd, T.: An Introduction to Object-Oriented Programming. Addison-Wesley (2002)Google Scholar
  7. 7.
    Mathworks. MATLAB - The Language of Technical Computing (2011),www.mathworks.com/products/matlab/ (accessed December 15, 2011)
  8. 8.
    Object Modeling Group. OMG Unified Modeling Language (OMG UML), Infrastructure, V2.1.2. Technical report (November 2007)Google Scholar
  9. 9.
    Spray, S.D.: Deriving and applying generally applicable safety principles. In: International System Safety Conference, Seattle, WA (September 1998)Google Scholar
  10. 10.
    Cooper, J.A., Covan, J.M.: Predictable Safety in the Control of High Consequence Systems. In: 3rd IEEE High-Assurance Systems Engineering Symposium, Washington, DC (November 1998)Google Scholar
  11. 11.
    Plummer, D.W., Greenwood, W.H.: The History of Nuclear Weapon Safety Devices. In: Conference: 34. AIAA/ASME/SAE/ASEE Joint Propulsion Conference, Cleveland, OH (July 1998)Google Scholar
  12. 12.
    Elliott, G.: US Nuclear Weapon Safety and Control. In: MIT Program in Science, Technology, and Society (2005)Google Scholar
  13. 13.
    Ekman, M.E., Werner, P.W., Covan, J.M., D’Antonio, P.E., Perry, E.: A Thematic Approach to System Safety. In: Process Safety Progress 17:3, American Institute of Chemical Engineers (1998)Google Scholar
  14. 14.
    Zadeh, L.A.: Commonsense Knowledge Representation Based on Fuzzy Logic. Computer 16(10), 61–65 (1983)CrossRefGoogle Scholar
  15. 15.
    Kreyszig, E.: Advanced Engineering Mathematics. John Wiley & Sons (2010)Google Scholar
  16. 16.
    Jungnickel, D.: Graphs, Networks, and Algorithms. Algorithms and computation in mathematics. Springer (2008)Google Scholar
  17. 17.
    Fournier, E., Bayne, T., Kot, J.: Review of the State-of-the-Art in Fuel Tank Systems - Phase II. Technical report (May 2003)Google Scholar
  18. 18.
    Schwartz, G.T.: The Myth of the Ford Pinto Case. Rutgers Law ReviewGoogle Scholar
  19. 19.
    Peterson, J.L.: Petri Net Theory and the Modeling of Systems. Prentice Hall PTR, Upper Saddle River (1981)Google Scholar
  20. 20.
    Hoare, C.A.R.: Communicating Sequential Processes. Prentice-Hall (1985)Google Scholar
  21. 21.
    Carlson, D.D., Jones, T.R.: Model-Based Safety Assessments. In: Conference: Lockheed Martin Systems Engineering and Software Symposium, New Orleans, LA (May 1998)Google Scholar
  22. 22.
    Fenelon, P., McDermid, J.A.: An Integrated Tool Set for Software Safety Analysis. J. Syst. Softw. 21, 279–290 (1993)CrossRefGoogle Scholar
  23. 23.
    Wallace, M.: Modular Architectural Representation and Analysis of Fault Propagation and Transformation. In: Proc. FESCA 2005. ENTCS, vol. 141(3), pp. 53–71. Elsevier (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Dan Slipper
    • 1
  • Wilson Ifill
    • 2
  • Gordon Hunter
    • 2
  • Roger Green
    • 2
  • Richard Johnson
    • 2
  • Alistair A. McEwan
    • 1
  1. 1.Department of EngineeringUniversity of LeicesterUK
  2. 2.AWE, AldermastonUK

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