DocumentCode :
185300
Title :
Distributed parameter system from Contact mechanics: Modelling and computational issues based on cellular neural networks paradigm
Author :
Danciu, Daniela
Author_Institution :
Dept. of Autom., Electron. & Mechatron., Univ. of Craiova, Craiova, Romania
fYear :
2014
fDate :
17-19 Oct. 2014
Firstpage :
347
Lastpage :
352
Abstract :
The paper deals with modelling and computational issues for a unified model from the Contact Mechanics belonging to the class of longitudinal vibrations of rods. The mathematical model is deduced by using the Calculus of Variation methods. The distributed parameter system is modelled by a mixed initial boundary value problem for hyperbolic partial differential equations with derivative boundaries. The computational issues can be viewed within the framework of the Neural mathematics. The approach is based on a procedure which combines a convergent Method of Lines with the Cellular Neural Networks paradigm in order to obtain a good approximation, preservation of the stability of the initial problem and a reduced computational effort even for approximating systems of huge dimension.
Keywords :
boundary-value problems; cellular neural nets; hyperbolic equations; mechanical contact; mechanical engineering computing; method of lines; partial differential equations; rods (structures); variational techniques; vibrations; calculus of variation methods; cellular neural networks paradigm; computational issues; contact mechanics; derivative boundaries; distributed parameter system; hyperbolic partial differential equations; longitudinal vibrations; mathematical model; method of lines; mixed initial boundary value problem; modelling; neural mathematics; rods; Approximation methods; Boundary conditions; Cellular neural networks; Cloning; Computational modeling; Equations; Mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Theory, Control and Computing (ICSTCC), 2014 18th International Conference
Conference_Location :
Sinaia
Type :
conf
DOI :
10.1109/ICSTCC.2014.6982440
Filename :
6982440
Link To Document :
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