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Optimal Design of Smart Composites

  • Georgios K. Tairidis
  • Georgia Foutsitzi
  • Georgios E. StavroulakisEmail author
Chapter
Part of the Springer Optimization and Its Applications book series (SOIA, volume 145)

Abstract

In the present chapter, optimal design problems related to smart composites are investigated. First, the mechanical properties of a smart composite can be tailored to meet required specifications. Beyond classical shape and layout optimization related to the layers of a composite, pointwise optimization leading to functionally graded composites or even topology optimization can be applied. A cantilever beam with two materials is briefly presented. Furthermore, the control subsystem has several parameters to be optimized: number and position of sensors and actuators, as well as the parameters of the controller. Here, some basic techniques regarding soft control based on fuzzy and neuro-fuzzy strategies are presented, along with optimization options and methods which can be used for the fine-tuning of the parameters of the system. The main concept of the present chapter is to provide stimuli to those who deal with design, optimization, and control issues on smart structures.

References

  1. 1.
    Muc, A., Kedzio, P.: Optimal design of smart laminated composite structures. Mater. Manuf. Processes. 25(4), 272–280 (2010)CrossRefGoogle Scholar
  2. 2.
    Irschik, H.: A review on static and dynamic shape control of structures by piezoelectric actuation. Eng. Struct. 24, 5–11 (2002)CrossRefGoogle Scholar
  3. 3.
    Onoda, J., Hanawa, Y.: Actuator placement optimization by genetic and improved simulated annealing algorithms. AIAA J. 31, 1167–1169 (1993)CrossRefGoogle Scholar
  4. 4.
    Koconis, D.B., Kollar, L.P., Springer, G.S.: Shape control of composite plates and shells with embedded actuators. II. Desired shape specified. J. Compos. Mater. 28, 459–482 (1994)CrossRefGoogle Scholar
  5. 5.
    Tairidis, G., Foutsitzi, G., Koutsianitis, P., Stavroulakis, G.E.: Fine tuning of a fuzzy controller for vibration suppression of smart plates using genetic algorithms. Adv. Eng. Softw. 101, 123–135 (2016)CrossRefGoogle Scholar
  6. 6.
    Tairidis, G.K., Foutsitzi, G., Koutsianitis, P., Stavroulakis, G.E.: Fine tuning of fuzzy controllers for vibration suppression of smart plates using particle swarm optimization. In: Proceedings of the 8th GRACM International Congress on Computational Mechanics, Volos (2015)Google Scholar
  7. 7.
    Kaminakis, N., Drosopoulos, G., Stavroulakis, G.E.: Design and verification of auxetic microstructures using topology optimization and homogenization. Arch. Appl. Mech. 85, 1289–1306 (2015)CrossRefGoogle Scholar
  8. 8.
    Marinaki, M., Marinakis, Y., Stavroulakis, G.E.: Fuzzy control optimized by a multi-objective particle swarm optimization algorithm for vibration suppression of smart structures. Struct. Multidisc. Optim. 43, 29–42 (2011)CrossRefGoogle Scholar
  9. 9.
    Wördenweber, B.: Finite element mesh generation. Comput. Aided Des. 16, 285–291 (1984)CrossRefGoogle Scholar
  10. 10.
    Reddy, N.J.: Mechanics of Laminated Composite Plates: Theory and Analysis. CRC Press, New York (1997)zbMATHGoogle Scholar
  11. 11.
    Koutsianitis, P., Tairidis, G.K., Drosopoulos, G.A., Foutsitzi G.A., Stavroulakis, G.E.: Effectiveness of optimized fuzzy controllers on partially delaminated piezocomposites. Acta Mech. 228, 1373–1392 (2017)MathSciNetCrossRefGoogle Scholar
  12. 12.
    Erturk, C.L., Tekinalp, O.: A layer wise approach to piezoelectric plates accounting for adhesive and delaminated regions. Compos. Struct. 83, 279–296 (2005)CrossRefGoogle Scholar
  13. 13.
    Mamdani, E.H., Assilian, S.: An experiment in linguistic synthesis with a fuzzy logic controller. Int. J. Man. Mach. Stud. 7, 1–13 (1975)CrossRefGoogle Scholar
  14. 14.
    Tairidis, G.K., Foutsitzi, G.A., Koutsianitis, P., Drosopoulos, G., Stavroulakis, G.E.: Design and testing of fuzzy controllers on smart structures in the presence of delamination. In: Tsompanakis, Y., Kruis, J., Topping, B.H. (eds.) Proceedings of the Fourth International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering, Paper 41, Civil-Comp Press, Stirlingshire (2015)Google Scholar
  15. 15.
    Koutsianitis, P., Drosopoulos, G., Tairidis, G.K., Stavroulakis, G.E.: Optimally tuned fuzzy control for smart, possibly damaged piezocomposites. In: 3rd Polish Congress of Mechanics and 21st Computer Methods in Mechanics. CRC Press, Gdansk (2015)CrossRefGoogle Scholar
  16. 16.
    Koutsianitis, P., Moutsopoulou, A., Drosopoulos, G., Tairidis, G.K., Foutsitzi, G., Stavroulakis, G.E.: Optimal control tuning in smart structures with delaminations. In: Hersonisos, Crete: ECCOMAS VII European Congress on Computational Methods in Applied Sciences and Engineering (2016)Google Scholar
  17. 17.
    Han, J.H., Lee, I.: Analysis of composite plates with piezoelectric actuators for vibration control using layerwise displacement theory. Compos. B 29, 621–632 (1998)CrossRefGoogle Scholar
  18. 18.
    Mihalewicz, Z.: Genetic Algorithms + Data Structures = Evolution Programs, 3rd edn. Springer, Berlin (1996)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Georgios K. Tairidis
    • 1
  • Georgia Foutsitzi
    • 2
  • Georgios E. Stavroulakis
    • 1
    Email author
  1. 1.School of Production Engineering and ManagementTechnical University of Crete, Institute of Computational Mechanics and OptimizationChaniaGreece
  2. 2.Department of Informatics and TelecommunicationUniversity of IoanninaPrevezaGreece

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