Skip to main content

Bio-inspired Optimization of Thermomechanical Structures

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7895))

Abstract

The paper is devoted to an application of particle swarm optimizer and artificial immune system to optimization of elastic bodies under thermomechanical loading. The optimization problem is formulated as minimization of the volume, the maximal value of the equivalent stress, the maximal value of the temperature or maximization of the total dissipated heat flux with respect to specific dimensions of a structure. The direct problem is computed by means of the finite element method. Numerical examples for shape optimization are also included.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Hansen, G., Bendsøe, M.P., Sigmund, O.: Topology optimization of heat conduction problems using the finite volume method. Struct. Multidisciplin. O. 31(4), 251–259 (2006)

    Article  MATH  Google Scholar 

  2. Cho, S., Choi, J.Y.: Efficient topology optimization of thermo-elasticity problems using coupled field adjoint sensitivity analysis method. FEA, Des. 41(15), 1 481-1 495 (2005)

    Google Scholar 

  3. Li, Q., Steven, G.P., Xie, Y.M., et al.: Evolutionary topology optimization for temperature reduction of heat conducting fields. Int. J. Heat Mass Transfer 47(23), 5 071–5 083 (2004)

    Google Scholar 

  4. Michalewicz, Z.: Genetic Algorithms + Data Structures = Evolutionary Programs. Springer, Berlin (1992)

    Book  Google Scholar 

  5. Burczyński, T., Poteralski, A., Szczepanik, M.: Topological evolutionary computing in the optimal design of 2D and 3D structures. Eng. Opt. Taylor & Francis 39(7), 811–830 (2007)

    Google Scholar 

  6. Burczyński, T., Kuś, W., Długosz, A., Poteralski, A., Szczepanik, M.: Sequential and Distributed Evolutionary Computations in Structural Optimization. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds.) ICAISC 2004. LNCS (LNAI), vol. 3070, pp. 1069–1074. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  7. Burczyński, T., Poteralski, A., Szczepanik, M.: Genetic generation of 2-D and 3-D structures Second M.I.T. Conference on Computational Fluid and Solid Mechanics Massachusetts, Institute of Technology Cambridge, MA 02139 U.S.A (2003)

    Google Scholar 

  8. Burczynski, T., Dlugosz, A., Kus, W., Orantek, P., Poteralski, A., Szczepanik, M.: Intelligent computing in evolutionary optimal shaping of solids. In: Proc. in. 3rd International Conference on Computing, Communications and Control Technologies, vol. 3, pp. 294–298 (2005)

    Google Scholar 

  9. Długosz, A.: Evolutionary computation in thermoelastic problems. In: IUTAM Symposium on Evolutionary Methods in Mechanics, vol. 117, pp. 69–80 (2004)

    Google Scholar 

  10. Długosz, A., Burczynski, T.: Multiobjective shape optimization of selected coupled problems by means of evolutionary algorithms. Bulletin of the Polish Academy of Sciences, Technical Sciences 60(2), 215–222 (2012)

    Google Scholar 

  11. Wierzchoń, S.: Artificial Immune Systems, theory and applications. EXIT (2001)

    Google Scholar 

  12. Burczyński, T., Bereta, M., Poteralski, A., Szczepanik, M.: Immune Computing: Intelligent Methodology and its applications in bioengineering and computational mechanics.In: Advanced Structured Materials v1. Comput. Meth. Mech. Springer (2010)

    Google Scholar 

  13. Poteralski, A., Szczepanik, M., Dziatkiewicz, G., Kuś, W., Burczyński, T.: Immune identification of piezoelectric material constants using BEM. Inverse Probl. Sci. Eng. (2011)

    Google Scholar 

  14. Kennedy, J., Eberhart, R.C.: Swarm Intelligence. Morgan Kaufmann (2001)

    Google Scholar 

  15. Szczepanik, M., Burczyński, T.: Swarm optimization of stiffeners locations in 2-D structures. Bulletin of the Polish Academy of Sciences, Technical Sciences 60(2), 241–246 (2012)

    Google Scholar 

  16. Szczepanik, M., Poteralski, A., Ptaszny, J., Burczyński, T.: Hybrid Particle Swarm Optimizer and Its Application in Identification of Room Acoustic Properties. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) EC 2012 and SIDE 2012. LNCS, vol. 7269, pp. 386–394. Springer, Heidelberg (2012) ISBN 978-3-642-29352-8

    Chapter  Google Scholar 

  17. de Castro, L.N., Von Zuben, F.J.: Immune and neural network models: theoretical and empirical comparisons. IJCIA 1(3), 239–257 (2001)

    Google Scholar 

  18. MSC.MARC Theory and user information, vol. A-D. MSC Software Corporation (2007)

    Google Scholar 

  19. Burczyński, T., Długosz, A., Kuś, W.: Parallel Evolutionary Algorithms in Shape Optimization of Heat Radiators. JTAM 44(2), 351–366 (2006)

    Google Scholar 

  20. Zienkiewicz, O.C., Taylor, R.L.: The Finite Element Method. Butterworth Heinemann, Oxford (2000)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Szczepanik, M., Poteralski, A., Długosz, A., Kuś, W., Burczyński, T. (2013). Bio-inspired Optimization of Thermomechanical Structures. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2013. Lecture Notes in Computer Science(), vol 7895. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38610-7_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-38610-7_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38609-1

  • Online ISBN: 978-3-642-38610-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics