About: Damage identification of dynamically loaded structures: methodology and modal properties study

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Damage identification of dynamically loaded structures: methodology and modal properties study Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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. (en) 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. (cs)
Title	Damage identification of dynamically loaded structures: methodology and modal properties study Damage identification of dynamically loaded structures: methodology and modal properties study (en) Damage identification of dynamically loaded structures: methodology and modal properties study (cs)
skos:prefLabel	Damage identification of dynamically loaded structures: methodology and modal properties study Damage identification of dynamically loaded structures: methodology and modal properties study (en) Damage identification of dynamically loaded structures: methodology and modal properties study (cs)
skos:notation	RIV/00216305:26110/07:PU69299!RIV08-GA0-26110___
http://linked.open.../vavai/riv/strany	1-10
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GA103/07/0760), P(GP103/07/P380)
http://linked.open...vai/riv/dodaniDat	2008
http://linked.open...aciTvurceVysledku	Lehký, David Frantík, Petr Novák, Drahomír
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta stavební
http://linked.open...dnocenehoVysledku	415690
http://linked.open...ai/riv/idVysledku	RIV/00216305:26110/07:PU69299
http://linked.open...riv/jazykVysledku	cze - čeština
http://linked.open.../riv/klicovaSlova	Identification, structures, soft computing, artificial intelligence, neural networks (en)
http://linked.open.../riv/klicoveSlovo	Identification neural networks structures soft computing artificial intelligence
http://linked.open...ontrolniKodProRIV	[8BC9544EDE0F]
http://linked.open...v/mistoKonaniAkce	Svratka
http://linked.open...i/riv/mistoVydani	Svratka, Česká republika
http://linked.open...i/riv/nazevZdroje	Engineering mechanics 2007
http://linked.open...in/vavai/riv/obor	JM
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Soft computing in structural mechanics Inverse analysis of dynamically loaded structures using artificial intelligence methods
http://linked.open...UplatneniVysledku	2007
http://linked.open...iv/tvurceVysledku	Frantík, Petr Lehký, David Novák, Drahomír
http://linked.open...vavai/riv/typAkce	CST - Celostátní
http://linked.open.../riv/zahajeniAkce	2007-05-14 (xsd:date)
number of pages	10 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Neuveden
https://schema.org/isbn	978-80-87012-06-2
http://localhost/t...ganizacniJednotka	26110

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 112 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software