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Statements

Subject Item
n2:RIV%2F00216305%3A26110%2F07%3APU69299%21RIV08-GA0-26110___
rdf:type
n10:Vysledek skos:Concept
dcterms:description
The paper is focused on damage identification of dynamically loaded structures using methods of soft computing including artificial intelligence. The damage and variability of material properties (stiffness) along the structure is studied. The identification method based on coupling of artificial neural networks and stochastic analysis of structure is used. The proposed methodology is extended towards the dynamic response of structures when results of modal analysis are the input parameters (frequencies, mode shapes). As a particular step an influence of local decrease of stiffness on modal properties (eigenfrequencies and modeshapes) is studied. The aim is determination of suitable initial parameters for consequent inverse analysis. The paper is focused on damage identification of dynamically loaded structures using methods of soft computing including artificial intelligence. The damage and variability of material properties (stiffness) along the structure is studied. The identification method based on coupling of artificial neural networks and stochastic analysis of structure is used. The proposed methodology is extended towards the dynamic response of structures when results of modal analysis are the input parameters (frequencies, mode shapes). As a particular step an influence of local decrease of stiffness on modal properties (eigenfrequencies and modeshapes) is studied. The aim is determination of suitable initial parameters for consequent inverse analysis. The paper is focused on damage identification of dynamically loaded structures using methods of soft computing including artificial intelligence. The damage and variability of material properties (stiffness) along the structure is studied. The identification method based on coupling of artificial neural networks and stochastic analysis of structure is used. The proposed methodology is extended towards the dynamic response of structures when results of modal analysis are the input parameters (frequencies, mode shapes). As a particular step an influence of local decrease of stiffness on modal properties (eigenfrequencies and modeshapes) is studied. The aim is determination of suitable initial parameters for consequent inverse analysis.
dcterms:title
Damage identification of dynamically loaded structures: methodology and modal properties study Damage identification of dynamically loaded structures: methodology and modal properties study Damage identification of dynamically loaded structures: methodology and modal properties study
skos:prefLabel
Damage identification of dynamically loaded structures: methodology and modal properties study Damage identification of dynamically loaded structures: methodology and modal properties study Damage identification of dynamically loaded structures: methodology and modal properties study
skos:notation
RIV/00216305:26110/07:PU69299!RIV08-GA0-26110___
n3:strany
1-10
n3:aktivita
n18:P
n3:aktivity
P(GA103/07/0760), P(GP103/07/P380)
n3:dodaniDat
n15:2008
n3:domaciTvurceVysledku
n7:7348657 n7:3275612 n7:5315816
n3:druhVysledku
n17:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n21:predkladatel
n3:idSjednocenehoVysledku
415690
n3:idVysledku
RIV/00216305:26110/07:PU69299
n3:jazykVysledku
n13:cze
n3:klicovaSlova
Identification, structures, soft computing, artificial intelligence, neural networks
n3:klicoveSlovo
n6:soft%20computing n6:neural%20networks n6:artificial%20intelligence n6:Identification n6:structures
n3:kontrolniKodProRIV
[8BC9544EDE0F]
n3:mistoKonaniAkce
Svratka
n3:mistoVydani
Svratka, Česká republika
n3:nazevZdroje
Engineering mechanics 2007
n3:obor
n11:JM
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n8:GP103%2F07%2FP380 n8:GA103%2F07%2F0760
n3:rokUplatneniVysledku
n15:2007
n3:tvurceVysledku
Frantík, Petr Lehký, David Novák, Drahomír
n3:typAkce
n12:CST
n3:zahajeniAkce
2007-05-14+02:00
s:numberOfPages
10
n9:hasPublisher
Neuveden
n14:isbn
978-80-87012-06-2
n16:organizacniJednotka
26110