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A Probabilistic based Systems Approach to Reliability Prediction of Solid Rocket Motors

  • Moon, Keun-Hwan (Dept., Aerospace & Mechanical Engrg., Korea Aerospace University) ;
  • Gang, Jin-Hyuk (Dept., Aerospace & Mechanical Engrg., Korea Aerospace University) ;
  • Kim, Dong-Seong (Dept., Aerospace & Mechanical Engrg., Korea Aerospace University) ;
  • Kim, Jin-Kon (School of Aerospace & Mechanical Engrg, Korea Aerospace University) ;
  • Choi, Joo-Ho (School of Aerospace & Mechanical Engrg, Korea Aerospace University)
  • Received : 2016.05.03
  • Accepted : 2016.11.21
  • Published : 2016.12.30

Abstract

A probabilistic based systems approach is addressed in this study for the reliability prediction of solid rocket motors (SRM). To achieve this goal, quantitative Failure Modes, Effects and Criticality Analysis (FMECA) approach is employed to determine the reliability of components, which are integrated into the Fault Tree Analysis (FTA) to obtain the system reliability. The quantitative FMECA is implemented by burden and capability approach when they are available. Otherwise, the semi-quantitative FMECA is taken using the failure rate handbook. Among the many failure modes in the SRM, four most important problems are chosen to illustrate the burden and capability approach, which are the rupture, fracture of the case, and leak due to the jointed bolt and O-ring seal failure. Four algorithms are employed to determine the failure probability of these problems, and compared with those by the Monte Carlo Simulation as well as the commercial code NESSUS for verification. Overall, the study offers a comprehensive treatment of the reliability practice for the SRM development, and may be useful across the wide range of propulsion systems in the aerospace community.

Keywords

References

  1. Sojourner, T. S., Richardson, D. E., Allen, B. D., McHenry, K. S. and Goldberg, B. E., "Solid Rocket Booster Reliability and Historical Failure Modes Review", 51st AIAA/SAE/ASEE Joint Propulsion Conference, Orlando, FL, 2015.
  2. Moore, D. H., Pricing Options for the Space Shuttle, United States Congressional Budget Office, 1985.
  3. Ekstrom, J. L. and Allred, A. G., "Verifying Reliability of Solid Rocket Motors (SRMs) at Minimum Cost", Proceedings of Reliability and Maintainability Symposium, Orlando, FL, 1991.
  4. O'Hara, K. J., "Rocket Engine Propulsion 'System Reliability'", 28th Joint Propulsion Conference and Exhibit, Nashville, TN, 1992.
  5. Safie, F. M., "An Overview of Quantitative Risk Assessment of Space Shuttle Propulsion Elements", Proceedings of the 4th International Conference on Probabilistic Safety Assessment and Management, September 13-18, 1998.
  6. Wells, W. W., Solid Rocket Booster Reliability Guidebook, Volume II: Probabilistic Design and Analysis Methods for Solid Rocket Booster, Aerospace Information Report, SAE AIR 5006, New York, USA, 1996.
  7. "Guide to Reusable Launch and Reentry Vehicle Reliability Analysis", Federal Aviation Administration, associate administrator for commercial space transportation, Washington D.C, 2005.
  8. Liu, F. and Zhang, W., "Research and Realization of the Reliability Design System for Solid Rocket Motor [J]", Aeronautical Computer Technique 1, 2005.
  9. Wang, J. and Jia, D., "Issue in Reliability Design for Solid Rocket Motor", Journal of Solid Rocket Technology, Vol. 3, 2012.
  10. http://www.kari.re.kr/eng/sub03_03.do
  11. Kim, J. H., Bae, B. Y., Lee, J. W., Byun, Y. H. and Kim, K. M., "Design for Reliability of Air-Launching Rocket, MirinaeII Using FMEA(Failure Modes and Effects Analysis)", Journal of The Korean Society for Aeronautical and Space Sciences, Vol. 36, No. 12, 2008, pp. 1193-1200. https://doi.org/10.5139/JKSAS.2008.36.12.1193
  12. Kim, K. O., "Bayesian Reliability When System and Subsystem Failure Data are Obtained in the Same Time Period", Journal of the Korean Statistical Society, Vol. 42, No.1, 2013, pp. 95-103. https://doi.org/10.1016/j.jkss.2012.05.004
  13. Kim, W. and Choi, J., "Reliability Analysis of Solid Rocket Motor Under Bayesian Framework", 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Honolulu, Hawaii, 2012.
  14. Hwang, T., Kim, H. and Kim, S., "A Probabilistic Structural Design Method of Composite Propulsion System", Journal of the Korean Society of Propulsion Engineers, Vol. 17, No. 5, 2013, pp. 80-85. https://doi.org/10.6108/KSPE.2013.17.5.080
  15. Moon, K., Kim, J. and Choi, J., "Semiquantitative Failure Mode, Effect and Criticality Analysis for Reliability Analysis of Solid Rocket Propulsion System", Transactions of the Korean Society of Mechanical Engineers A, Vol. 39, No. 6, 2015, pp. 631-638. https://doi.org/10.3795/KSME-A.2015.39.6.631
  16. Standard, M., Procedures for Performing a Failure Mode, Effects and Criticality Analysis, MIL-STD-1629A, AMSC Number N3074, 1980.
  17. NASA Publication NHB 5300.3
  18. Mahadevan, S. and Haldar, A., Probability, Reliability and Statistical Method in Engineering Design. John Wiley & Sons, New York, 2000.
  19. Larson, W. J., Henry, G. N. and Humble, R. W., Space Propulsion Analysis and Design, McGraw-Hill, New York, 1995.
  20. Sutton, G. P. and Biblarz, O., Rocket Propulsion Elements, John Wiley & Sons, INC., New York, 2001.
  21. Yang, J. N., Chen, H. Y., Chang, C. M. and Shee, H. K., "Reliability Analysis and Quality Assurance of Rocket Motor Case Considering Proof Testing", AIAA/ASME/ASCE/AHS/ASC 34th Structures, Structural Dynamics, and Materials Conference. Vol. 1, 1993.
  22. Bhattacharjee, P., Kumar, K. R. and Reddy, T. A. J., "Structural Reliability and Integrity Assessment of a Thin Maraging Steel Cylindrical Pressure Vessel", Proceedings of the International Symposium on Engineering Under Uncertainty: Safety Assessment and Management (ISEUSAM-2012). Springer India, 2013.
  23. Budynas, R. G. and Nisbett, J. K., Shigley's Mechanical Engineering Design, McGraw-Hill book Company, 2011.
  24. Sivakumar, V. and Palaninathan, R., "FE Analysis of Contact Pressure Prediction on O-Rings Used in Solid Rocket Booster Segment Joints", International Journal of Science and Engineering Applications, Vol. 1, No. 1, 2012, pp. 8-16.
  25. http://www.polymerFEM.com/
  26. http://www.swri.org/4org/program/nessus/