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