Skip to main content
SpringerLink
Log in

Reliability design optimization for aerospace product an integrated approach

  • Original Article
  • Published:
International Journal of System Assurance Engineering and Management Aims and scope Submit manuscript

Abstract

The need for continuous improvement in engineering designs of aerospace and automotive products exist in order to optimize cost, weight, volume etc. Due to the inherent uncertainties such as external loading, material properties and manufacturing quality, the prototypes of manufactured product may not satisfy all the requirements. Deterministic approaches cannot take into account all the variabilities that characterize design input properties leading to oversized or undersized structure. The present paper deals with response surface methodology where the performance functions are generated using design of experiments. These simplified linear performance functions are used for design optimization. Further, an outline of the methodology is discussed that could serve as a guideline to develop a more efficient and optimized design process. Here, the product optimization is carried out in stages starting from deterministic optimization, followed by reliability based design optimization using reliability index approach and performance measure approach to meet target reliability requirements.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Abbreviations

a0, ai :

Regression coefficient for stress

b0, bi :

Regression coefficient for strain

d:

Design variable

e:

Strain

g(x), G(x):

Performance function

I:

Indicator function

N:

Number of run

pf :

Probability of failure

P:

Pressure

Ri :

Internal radius

S:

Induced stress

t:

Wall thickness

u:

Standard normal variable

W:

Weight

x:

Random variables

\( \beta_{ \in } ,\beta_{S} \) :

Reliability index

βT :

Target reliability

LP:

Linear programming

MCS:

Monte Carlo simulation

MPP:

Most probable point

PMA:

Performance measure approach

RBDO:

Reliability based design optimization

RIA:

Reliability index approach

RSM:

Response surface method

References

  • Agarwal H (2004) Reliability based design optimization formulation and methodologies. A Dissertation Notre Dame, Indiana 2004

  • Bhattacharjee P, Ramesh Kumar K, Janardhan Reddy TA (2009) Structural reliability analysis of a pressure vessel using multiple regression. In: Proceedings of international conference on computational methods in engineering and science (IC-CMES ‘09’) 8–10 Jan 2009, pp 258–262

  • Bhattacharjee P, Janardhan Reddy TA, Ramesh Kumar K (2009) Structural reliability evaluation using response surface method. In: Proceedings of international conference on reliability, maintainability and safety. IEEE ICRMS-2009, pp 972–977

  • Bhattacharjee P, Ramesh Kumar K, Janardhan Reddy TA (2010) Reliability design evaluation and optimization of a nitrogen gas bottle using response surface method. Int J Reliab Qual Saf Eng 17(2):119–132

    Google Scholar 

  • Justin Wu Y-T, Shin Y, Sues R, Cesare M (2001) Safety-factor based approach for probability-based design optimization. In: AIAA 2001-1522, Seattle, WA, pp 1–9

  • Kim S-R, Park J-Y, Lee W-G, Yu J-S, Han S-Y (2007) Reliability-based topology optimization based on evolutionary structural optimization. World Acad Sci Eng Technol 32:168–172

    Google Scholar 

  • Kwak BM, Lee TW (1987) Sensitivity analysis for reliability based optimization using an AFSOM method. Comput Struct 27(3):399–406

    Google Scholar 

  • Kyumchoi S, Grandhi RV, Canfield RA (2006) Reliability-based structural design. Springer, London

    Google Scholar 

  • Tu J, Choi KK, Park YH (2001) Design potential method for robust system parameter design. AIAA J 39(4):667–677

    Google Scholar 

  • Grandhi RV, Wang L (1999) Structural reliability analysis and optimization: use of approximations. Wright State University, Dayton

  • Youn BD, Choi KK (2004) Selecting probabilistic approaches for reliability-based design optimization. AIAA J 42(1):124–131

    Article  Google Scholar 

Download references

Acknowledgments

The constant encouragement and supports extended by Director DRDL, and by Director R&QA, DRDL are gratefully acknowledged.

Author information

Authors and Affiliations

  1. Reliability Engineering Division, DRDL, Hyderabad, India

    P. Bhattacharjee

  2. Production Planning Division, DRDL, Hyderabad, India

    K. Ramesh Kumar

  3. Department of Mechanical Engineering, Osmania University, Hyderabad, India

    T. A. Janardhan Reddy

Authors
  1. P. Bhattacharjee
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. K. Ramesh Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. T. A. Janardhan Reddy
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to P. Bhattacharjee.

Appendix

Appendix

figure a

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bhattacharjee, P., Ramesh Kumar, K. & Janardhan Reddy, T.A. Reliability design optimization for aerospace product an integrated approach. Int J Syst Assur Eng Manag 3, 153–159 (2012). https://doi.org/10.1007/s13198-012-0097-6

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13198-012-0097-6

Keywords

Search

Navigation