Nothing Special   »   [go: up one dir, main page]

Skip to main content

Advertisement

Log in

Reliability-based design optimization for crashworthiness of vehicle side impact

  • Industrial applications and design case study
  • Published:
Structural and Multidisciplinary Optimization Aims and scope Submit manuscript

Abstract

With the advent of powerful computers, vehicle safety issues have recently been addressed using computational methods of vehicle crashworthiness, resulting in reductions in cost and time for new vehicle development. Vehicle design demands multidisciplinary optimization coupled with a computational crashworthiness analysis. However, simulation-based optimization generates deterministic optimum designs, which are frequently pushed to the limits of design constraint boundaries, leaving little or no room for tolerances (uncertainty) in modeling, simulation uncertainties, and/or manufacturing imperfections. Consequently, deterministic optimum designs that are obtained without consideration of uncertainty may result in unreliable designs, indicating the need for Reliability-Based Design Optimization (RBDO).

Recent development in RBDO allows evaluations of probabilistic constraints in two alternative ways: using the Reliability Index Approach (RIA) and the Performance Measure Approach (PMA). The PMA using the Hybrid Mean Value (HMV) method is shown to be robust and efficient in the RBDO process, whereas RIA yields instability for some problems. This paper presents an application of PMA and HMV for RBDO for the crashworthiness of a large-scale vehicle side impact. It is shown that the proposed RBDO approach is very effective in obtaining a reliability-based optimum design.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. Arora, J.S. 1989: Introduction to optimum design. New York: McGraw-Hill

  2. Choi, K.K.; Youn, B.D. 2001: Hybrid analysis method for reliability-based design optimization. 27th ASME Design Automation Conference, DETC2001/DAC-21044, Pittsburgh, PA

  3. Currin, C.; Mitchell, T.; Morris, M.; Ylvisaker, D. 1991: Bayesian prediction of deterministic function with applications to the design and analysis of computer experiments. J. Am. Stat. Assoc. 86, 953–963

    Google Scholar 

  4. Enevoldsen, I.; Sorensen, J.D. 1994: Reliability-based optimization in structural engineering. Struct. Saf. 15, 169–196

    Google Scholar 

  5. Gu, L.; Yang, R.J.; Cho, C.H.; Makowski, M.; Faruque, M.; Li, Y. 2001: Optimization and robustness for crashworthiness. Int. J. Vehicle Des. 26(4)

  6. Hohenbichler, M.; Rackwitz, R. 1981: Nonnormal dependent vectors in structural reliability. J. Eng. Mech.–ASCE 107(6), 1227–1238

    Google Scholar 

  7. Madsen, H.O.; Krenk, S.; Lind, N.C. 1986: Methods of structural safety. Englewood Cliffs, NJ: Prentice-Hall

  8. Myers, H.R.; Montgomery, D.C. 1995: Response surface methodology. New York: Wiley

  9. Palle, T.C.; Michael, J.B. 1982: Structural reliability theory and its applications. Berlin, Heidelberg, New York: Springer

  10. Rackwitz, R.; Fiessler, B. 1978: Structural reliability under combined random load sequences. Comput. Struct. 9, 489–494

    Google Scholar 

  11. Stander, N. 1999: Crashworthiness technology using response surface methodology and massively parallel programming. Poster paper at Optimization in Industry-II, Banff, Canada

  12. Sudjianto, A.; Juneja, L. ; Agrawal, A. 1998: Computer aided reliability and robustness assessment. Int. J. Reliability, Quality and Safety Engineering, 5

  13. Tu, J.; Choi, K.K. 1999: A new study on reliability-based design optimization. J. Mech. Des.–T. ASME 121(4), 557–564

    Google Scholar 

  14. Wu Y.T. 1994: Computational methods for efficient structural reliability and reliability sensitivity analysis. AIAA J. 32(8), 1717–1723

    Google Scholar 

  15. Wu, Y.T.; Millwater, H.R.; Cruse, T.A. 1990: Advanced probabilistic structural analysis method for implicit performance functions. AIAA J. 28(9), 1663–1669

    Google Scholar 

  16. Yang, R.J.; Tseng, L.; Nagy, L.; Cheng, J. 1994: Feasibility study of crash optimization. ASME 69(2), 549–556

    Google Scholar 

  17. Yang, R.J.; Gu, L.; Liaw, L.; Gearhart, C; Tho, C.H. 2000: Approximations for safety optimization of large systems. 26th ASME Design Automation Conference, DETC2000/DAC-14245, Baltimore, MD

  18. Youn, B.D.; Choi, K.K.; Park, Y.H. 2003: Hybrid analysis method for reliability-based design optimization. J. Mech. Des.–T. ASME 125(2), 221–232

    Google Scholar 

  19. Yu, X.; Choi, K.K.; Chang, K.H. 1997: A mixed design approach for probabilistic structural durability. Struct. Multidisc. O 14(2)–(3), 81–90

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to K.K. Choi .

Rights and permissions

Reprints and permissions

About this article

Cite this article

Youn , B., Choi , K., Yang , RJ. et al. Reliability-based design optimization for crashworthiness of vehicle side impact. Struct Multidisc Optim 26, 272–283 (2004). https://doi.org/10.1007/s00158-003-0345-0

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00158-003-0345-0

Keywords

Navigation