Artificial Neural Network Modelling of Glass Laminate Sample Shape Influence on the ESPI Modes

Jančíková, Zora; Koštial, Pavel; Rusnáková, Soňa; Jošta, Petr; Ružiak, Ivan; David, Jiří; Valíčej, Jan; Frydrýšek, Karel

dc.title	Artificial Neural Network Modelling of Glass Laminate Sample Shape Influence on the ESPI Modes	en
dc.contributor.author	Jančíková, Zora
dc.contributor.author	Koštial, Pavel
dc.contributor.author	Rusnáková, Soňa
dc.contributor.author	Jošta, Petr
dc.contributor.author	Ružiak, Ivan
dc.contributor.author	David, Jiří
dc.contributor.author	Valíčej, Jan
dc.contributor.author	Frydrýšek, Karel
dc.relation.ispartof	Mechanics and Properties of Composed Materials and Structures Advanced Structured Materials
dc.identifier.isbn	978-3-642-31497-1
dc.date.issued	2012
dc.event.location	Heidelberg
utb.event.state-en	Germany
utb.event.state-cs	Německo
dc.type	bookPart
dc.language.iso	en
dc.publisher	Springer-Verlag. Berlin
dc.subject	artificial neural networks	en
dc.subject	glass laminate	en
dc.subject	resonance frequencies	en
dc.subject	electronic speckle pattern interferometry	en
dc.subject	finite element method	en
dc.description.abstract	The present work is devoted to the applications of artificial neural networks (ANN) for material design prediction. We have investigated the dependence of the generated mode frequency as a function of a sample thickness and a sample shape of glass laminate samples by electronic speckle interferometry (ESPI). The obtained experimental results for differently shaped (thickness, canting and rounding) glass laminate samples are compared with those of ANN. The coincidence of both experimental and simulated results is very good.	en
utb.faculty	Faculty of Technology
dc.identifier.uri	http://hdl.handle.net/10563/1005934
utb.identifier.rivid	RIV/70883521:28110/12:43869179!RIV13-MSM-28110___
utb.source	c-riv
dc.date.accessioned	2016-04-28T10:37:25Z
dc.date.available	2016-04-28T10:37:25Z
dc.description.sponsorship	P(FR-TI1/319), V
dc.format.extent	197
utb.identifier.nkp	6123588
utb.contributor.internalauthor	Rusnáková, Soňa
riv.obor	JI
utb.fulltext.affiliation	Zora Jančíková, Pavel Koštial, Soňa Rusnáková, Petr Jonšta, Ivan Ružiak, Jiří David, Jan Valíček, Karel Frydrýšek VŠB-Technical University of Ostrava, 17. listopadu 15/2172, 70833 Ostrava-Poruba, Czech Republic e-mail: zora.jancikova@vsb.cz S. Rusnáková Tomas Bata University in Zlín, Faculty of Technology, T. G. Masaryka 275, 762 72Zlín, Czech Republic
utb.fulltext.dates	-
utb.fulltext.faculty	Faculty of Technology