Skip to main content

Part of the book series: Lecture Notes in Engineering ((LNENG,volume 42))

Abstract

The design optimization problem considered in this paper consists of minimizing some ob-jective function subject to constraints insuring the feasibility of the structural design.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. C. Fleury and V. Braibant, “Structural optimization - a new dual method using mixed variables”, International Journal for Numerical Methods in Engineering, Vol. 23, pp. 409–428, 1986.

    Article  MATH  MathSciNet  Google Scholar 

  2. K. Svanberg, “Method of moving asymptotes - a new method for structural optimization”, International Journal for Numerical Methods in Engineering, Vol. 24, pp. 359–373, 1987.

    Article  MATH  MathSciNet  Google Scholar 

  3. C. Fleury, “Shape optimal design by the convex linearization method”, in The Optimum Shape: Automated Structural Design (J. Bennett and M. Botkin, eds.), Plenum Press, 1986, pp. 297–326.

    Google Scholar 

  4. J.H. Starnes and R.T. Haftka, “Preliminary design of composite wings for buckling, stress and displacement constraints”, Journal of Aircraft, Vol. 16, No. 8, pp. 564–570, 1979.

    Article  Google Scholar 

  5. H. Smaoui, C. Fleury and L.A. Schmit, ‘Advances in Dual Algorithms and Convex Ap-proximation Methods’, Proceedings of AIAA/ASME/ASCE 29th Structures, Structral Dy-namics, and Materials Conference, Williamsburg, Va. April, 1988., pp. 1339–1347.

    Google Scholar 

  6. Woo, T.H., ‘Space Frame Optimization Subject to Frequency Constraints’, Proceedings of AIAA/ASME/ASCE/AHS 27 th Structures, Structral Dynamics, and Materials Confer-ence, San Antonio, Texas. May 19-21, 1986, pp.103–115.

    Google Scholar 

  7. R. Fletcher, Practical Methods of Optimization - Vol. 2: Constrained Optimization, John Wiley & Sons, 1981.

    Google Scholar 

  8. C. Fleury, ‘Efficient Approximation Concepts Using Second Order Information’, Pro-ceedings of AIAA/ASME/ASCE 29 th Structures, Structral Dynamics, and Materials Con-ference, Williamsburg, Va. April, 1988., pp. 1685–1695.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1989 Springer-Verlag Berlin, Heidelberg

About this paper

Cite this paper

Fleury, C., Smaoui, H. (1989). Convex Approximation Strategies in Structural Optimization. In: Eschenauer, H.A., Thierauf, G. (eds) Discretization Methods and Structural Optimization — Procedures and Applications. Lecture Notes in Engineering, vol 42. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83707-4_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-83707-4_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-50784-0

  • Online ISBN: 978-3-642-83707-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics