Skip to main content

Complex System of Identification of Material Properties of Microstructure Using Bioinspired Method

  • Conference paper
  • First Online:
EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization (EngOpt 2018)

Included in the following conference series:

  • 2553 Accesses

Abstract

The identification or optimization of structures in macro scale is widely used nowadays. The goal of the paper is to apply identification techniques to obtain information about material distribution on the micro level. The presented methods open new possibilities. The structures build with the use of materials with optimal microstructure can obtain the best performance. The parameters of microstructure can be identified taking into account loads of the macro structure. The identification of microstructure parameters is not easy currently, but in future, in applications where performance of the structure is very important, the presented approach may be used with success. A bio-inspired method based on the artificial immune system (AIS) is used to solve the identification problem. Immune computing provides a great probability of finding the accurate solution. It is developed on the basis of a mechanism discovered in biological immune systems.

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 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Balthrop, J., Esponda, F., Forrest, S., Glickman, M.: Coverage and generalization in an artificial immune system. In: Proceedings of the Genetic and Evolutionary Computation. Conference GECCO, pp. 3–10 (2002)

    Google Scholar 

  2. Bąk, R., Burczyński, T.: Computational Strength of Materials (in Polish Wytrzymałość materiałów z elementami ujęcia komputerowego) WNT Warszawa (2009)

    Google Scholar 

  3. Bendsøe, M.P., Sigmund, O.: Topology Optimization – Theory, Methods and Applications. Springer, Berlin (2003)

    MATH  Google Scholar 

  4. de Castro, L.N., Von Zuben, F.J.: Learning and optimization using the clonal selection principle. IEEE Trans. Evolut. Comput. Spec. Issue Artif. Immune Syst. 6(3), 239–251 (2002)

    Google Scholar 

  5. de Castro, L.N., Timmis, J.: Artificial immune systems as a novel soft computing paradigm. Soft. Comput. 7(8), 526–544 (2003)

    Article  Google Scholar 

  6. 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 

  7. Madej, Ł., Mrozek, A., Kuś, W., Burczyński, T., Pietrzyk, M.: Concurrent and upscaling methods in multi scale modelling – case studies. Comput. Methods Mater. Sci. 8(1), 1–15 (2008)

    Google Scholar 

  8. Poteralski, A.: Optimization of mechanical structures using artificial immune algorithm. Beyond databases, architectures, and structures. Commun. Comput. Inf. Sci. 424, 280–289 (2014)

    Google Scholar 

  9. Poteralski, A.: Data processing in immune optimization of the structure. Beyond databases, architectures, and structures (BDAS). Commun. Comput. Inf. Sci. 521, 309–319 (2015)

    Google Scholar 

  10. Poteralski, A.: Hybrid artificial immune strategy in identification and optimization of mechanical systems. J. Comput Sci. 23, 216–225 (2017)

    Article  Google Scholar 

  11. Poteralski, A., Kuś, W., Burczyński, T.: Identification of topology of the microstructure using artificial immune system. Inverse Problems in Mechanics of Structure and Materials (IPM), Rzeszów - Baranów Sandomierski, pp. 49–50 (2013)

    Google Scholar 

  12. Ptak, M., Ptak, W.: Basics of Immunology. Jagiellonian University Press, Cracow (2000)

    MATH  Google Scholar 

  13. Wierzchoń, S.T.: Sztuczne systemy immunologiczne. Teoria i zastosowania (Artificial Immune Systems. Theory and Applications). EXIT, Warszawa (2001) (in polish)

    Google Scholar 

  14. Xie, Y.M., Steven, G.P.: Evolutionary Structural Optimization. Springer, London (1997)

    Book  Google Scholar 

Download references

Acknowledgements

The scientific research was partially funded by National Science Centre, Poland, grant no. 2015/19/B/ST8/02629 and from the statute subvention of Silesian University of Technology, Faculty of Mechanical Engineering.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Arkadiusz Poteralski .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Poteralski, A. (2019). Complex System of Identification of Material Properties of Microstructure Using Bioinspired Method. In: Rodrigues, H., et al. EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization. EngOpt 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-97773-7_60

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-97773-7_60

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97772-0

  • Online ISBN: 978-3-319-97773-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics