Advertisement

Simulation of Smart Composite Materials of the Type of Mem by Using Neural Network Control

  • V. D. Koshur
Conference paper
  • 177 Downloads
Part of the Solid Mechanics and Its Applications book series (SMIA, volume 89)

Abstract

Solving complex engineering problems such as adaptive control of miscellaneous systems in real time, the design of smart matter, intelligent composite materials and structures, demand new approaches in information representation, storage and its transformation. In particularly it requires the development of high-performance computers with novel computer architectures, massively parallel computing and so on. At the present time, one of the prospective ways for solving such problems is an application of neural computing based on various artificial neural networks and their realisation in different neurochip architectures.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

6 References

  1. 1.
    Koshur V.D. Design and computer simulation of new animated composite materials, media, systems and processes with adaptive dynamic control of deformation shock-wave processes. International Conference AMCA-95, Advanced Mathematics, Computations and Applications, Abstracts, NCC Publisher, Novosibirsk, 1995, pp. 185–186Google Scholar
  2. 2.
    Koshur V.D. Modelling of control process of elastic waves transformation in laminated metal-ceramic composites, concept of the Matrix Electronics Materials. Report of Academy of Science, Russian Academy of Science, Moscow, Nauka, 1998, Vol. 363, No.2, pp. 181–183Google Scholar
  3. 3.
    Koshur V.D. Neural Networks Control of Wave Deformational Transformation in the Laminated Piezoelectric Composites. Fifth Ail-Union Seminar on Neuroinformatic and its Applications, 3–5 October 1997, Krasnoyarsk, Abstracts, Published by Krasnoyarsk State Technical University, Krasnoyarsk, 1997, pp. 107–109Google Scholar
  4. 4.
    Koshur V.D. Active and passive neural network control of shock waves transformation in laminated metal-ceramic composites, concept of Matrix Electronic Materials (MEM). Proceedings of the EUROMECH 373 Colloquium Modelling and Control of Adaptive Mechanical Structures. Otto-von-Guericke University of Magdeburg, 11–13 March 1998, Published by University of Magdeburg, 1998, pp. 311–316.Google Scholar
  5. 5.
    Koshur V.D. and Nemirovsky Yu.V. Continual and Discrete Models of Dynamic Deformation of Elements of Structures. — Novosibirsk: Nauka, 1990, 198 P.Google Scholar
  6. 6.
    Koshur V.D. and Nemirovsky Yu.V. Discrete Structural Models of Non-linear Dynamic Processes of Deformation and Fracture in Composite Materials. AMSE Transactions, Scientific Siberian, A, Vol.12, AMSE Press. Tassin, France, 1994, 301 P.Google Scholar
  7. 7.
    Koshur V.D. and Bykovskih A.M. The combination of discrete and structural approach for simulation dynamic behaviour of composites subjected to impulse loading and impact. Proceedings of the 10 th International Conference on Composite Materials, Whistler, Canada, August 14–18, 1995, Volume 5, Whistler, 1995, pp. 195–202.Google Scholar
  8. 8.
    Maugin G.A. Continuum Mechanics of Electromagnetic Solids. Elsevier Science Publisher B. V., New York-Oxford-Tokyo, 1988. 560 P.zbMATHGoogle Scholar
  9. 9.
    Gorban A.N. and Rossiev D.A. Neural Networks on Personal Computer. Nauka, Novosibirsk, 1996, 276 P.zbMATHGoogle Scholar
  10. 10.
    Gill P.E., Murray W. and Wright M.H. Practical Optimisation. Academic Press, London-New York-Toronto, 1981, 509 P.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2001

Authors and Affiliations

  • V. D. Koshur
    • 1
    • 2
  1. 1.Krasnoyarsk State Technical UniversityKrasnoyarsk, AcademgorodokRussia
  2. 2.Institute of Computational Modelling of RASKrasnoyarsk, AcademgorodokRussia

Personalised recommendations