DOI QR코드

DOI QR Code

Dynamic modeling and structural reliability of an aeroelastic launch vehicle

  • Pourtakdoust, Seid H. (Center for Research and Development in Space Science and Technology, Sharif University of Technology) ;
  • Khodabaksh, A.H. (Center for Research and Development in Space Science and Technology, Sharif University of Technology)
  • 투고 : 2021.06.27
  • 심사 : 2022.06.10
  • 발행 : 2022.05.25

초록

The time-varying structural reliability of an aeroelastic launch vehicle subjected to stochastic parameters is investigated. The launch vehicle structure is under the combined action of several stochastic loads that include aerodynamics, thrust as well as internal combustion pressure. The launch vehicle's main body structural flexibility is modeled via the normal mode shapes of a free-free Euler beam, where the aerodynamic loadings on the vehicle are due to force on each incremental section of the vehicle. The rigid and elastic coupled nonlinear equations of motion are derived following the Lagrangian approach that results in a complete aeroelastic simulation for the prediction of the instantaneous launch vehicle rigid-body motion as well as the body elastic deformations. Reliability analysis has been performed based on two distinct limit state functions, defined as the maximum launch vehicle tip elastic deformation and also the maximum allowable stress occurring along the launch vehicle total length. In this fashion, the time-dependent reliability problem can be converted into an equivalent time-invariant reliability problem. Subsequently, the first-order reliability method, as well as the Monte Carlo simulation schemes, are employed to determine and verify the aeroelastic launch vehicle dynamic failure probability for a given flight time.

키워드

참고문헌

  1. Allen, B. (2001), "Historical reliability of US launch vehicles", 37th Joint Propulsion Conference and Exhibit.
  2. Andrieu-Renaud, C., Sudret, B. and Lemaire, M. (2004), "The PHI2 method: A way to compute time-variant reliability", Reliab. Eng. Syst. Saf., 84(1), 75-86. https://doi.org/10.1016/j.ress.2003.10.005.
  3. Bilimoria, K.D. and Schmidt, D.K. (1995), "Integrated development of the equations of motion for elastic hypersonic flight vehicles", J. Guid. Control Dyn., 18(1), 73-81. https://doi.org/10.2514/3.56659.
  4. Chen, J.B. and Li, J. (2007), "The extreme value distribution and dynamic reliability analysis of nonlinear structures with uncertain parameters", Struct. Saf., 29(2), 77-93. https://doi.org/https://doi.org/10.1016/j.strusafe.2006.02.002.
  5. Guikema, S.D. and Pate-Cornell, M.E. (2004), "Bayesian analysis of launch vehicle success rates", J. Spacecraf. Rocket., 41(1), 93-102. https://doi.org/10.2514/1.9268.
  6. Hu, Z. and Du, X. (2013), "A sampling approach to extreme value distribution for time-dependent reliability analysis", J. Mech. Des., 135(7), 071003. https://doi.org/10.1115/1.4023925.
  7. Li, J. and Chen, J. (2009), Stochastic Dynamics of Structures, John Wiley & Sons.
  8. Liu, J., Wang, Q., Chen, J., Zhao, H. and Duan, D. (2014), "Preliminary reliability analysis of a high-altitude airship's envelope", Proc. Inst. Mech. Eng., Part G: J. Aerosp. Eng., 228(9), 1648-1653. https://doi.org/10.1177/0954410013499495.
  9. Pourtakdoust, S. and Assadian, N. (2004), "Investigation of thrust effect on the vibrational characteristics of flexible guided missiles", J. Sound Vib., 272(1-2), 287-299. https://doi.org/10.1016/S0022-460X(03)00779-X.
  10. Raouf, N. and Pourtakdoust, S.H. (2015), "Launch vehicle multi-objective reliability-redundancy optimization using a hybrid genetic algorithm-particle swarm optimization", Proc. Inst. Mech. Eng., Part G: J. Aerosp. Eng., 229(10), 1785-1797. https://doi.org/10.1177/0954410014560381.
  11. Raouf, N., Pourtakdoust, S.H. and Paghaleh, S.S. (2018), "Reliability and failure analysis of jet vane TVC system", J. Fail. Anal. Preve., 18(6), 1635-1642. https://doi.org/10.1007/s11668-018-0563-9.
  12. Shi, Z. and Zhao, L. (2016), "Effects of aeroelasticity on coning motion of a spinning missile", Proc. Inst. Mech. Eng., Part G: J. Aerosp. Eng., 230(14), 2581-2595. https://doi.org/10.1177/0954410016629501.
  13. Singh, A., Mourelatos, Z.P. and Li, J. (2009), "Design for lifecycle cost using time-dependent reliability", International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 49026, 1105-1119.
  14. Tang, Z., Lu, Z., Feng, J. and Wang, B. (2013), "The applications of an importance sampling method to reliability analysis of the inside flap of an aircraft", Proc. Inst. Mech. Eng., Part G: J. Aerosp. Eng., 227(6), 916-932. https://doi.org/10.1177/0954410012444185.
  15. Waszak, M.R. and Schmidt, D.K. (1988), "Flight dynamics of aeroelastic vehicles", J. Aircraft, 25(6), 563-571. https://doi.org/10.2514/3.45623.
  16. Yao, W., Chen, X., Huang, Y. and van Tooren, M. (2013), "An enhanced unified uncertainty analysis approach based on first order reliability method with single-level optimization", Reliab. Eng. Syst. Saf., 116, 28-37. https://doi.org/10.1016/j.ress.2013.02.014.
  17. Young, D.A. (2007), "An innovative methodology for allocating reliability and cost in a lunar exploration architecture", Georgia Institute of Technology.
  18. Zhang, Z., Jiang, C., Wang, G. and Han, X. (2015), "First and second order approximate reliability analysis methods using evidence theory", Reliab. Eng. Syst. Saf., 137, 40-49. https://doi.org/10.1016/j.ress.2014.12.011.