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Statements

Subject Item
n2:RIV%2F00216305%3A26110%2F12%3APU102158%21RIV13-GA0-26110___
rdf:type
skos:Concept n9:Vysledek
dcterms:description
Early warning system of roofs overloaded by snow has been developed. Methodology of inverse analysis implemented in the system is based on combination of artificial neural network and stochastic analysis using small sample simulation technique Latin hypercube sampling. Input information is measured data (stresses, deformations) obtained from monitoring system (sensors). Verification of the system was done for various types of snow load distributions acting on analyzed roof – snow removal, snow-drift, etc. Early warning system of roofs overloaded by snow has been developed. Methodology of inverse analysis implemented in the system is based on combination of artificial neural network and stochastic analysis using small sample simulation technique Latin hypercube sampling. Input information is measured data (stresses, deformations) obtained from monitoring system (sensors). Verification of the system was done for various types of snow load distributions acting on analyzed roof – snow removal, snow-drift, etc.
dcterms:title
Early warning system of roofs overloaded by snow based on measurements and inverse analysis. Early warning system of roofs overloaded by snow based on measurements and inverse analysis.
skos:prefLabel
Early warning system of roofs overloaded by snow based on measurements and inverse analysis. Early warning system of roofs overloaded by snow based on measurements and inverse analysis.
skos:notation
RIV/00216305:26110/12:PU102158!RIV13-GA0-26110___
n9:predkladatel
n10:orjk%3A26110
n3:aktivita
n8:P
n3:aktivity
P(GAP105/11/1385), P(TA01011019)
n3:dodaniDat
n20:2013
n3:domaciTvurceVysledku
n5:7348657
n3:druhVysledku
n14:D
n3:duvernostUdaju
n22:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
132648
n3:idVysledku
RIV/00216305:26110/12:PU102158
n3:jazykVysledku
n12:eng
n3:klicovaSlova
Early warning system, snow load overloading, inverse analysis, artificial neural network, load identification.
n3:klicoveSlovo
n4:artificial%20neural%20network n4:Early%20warning%20system n4:snow%20load%20overloading n4:inverse%20analysis n4:load%20identification.
n3:kontrolniKodProRIV
[772122C84A7B]
n3:mistoKonaniAkce
Vienna
n3:mistoVydani
Vídeň, Rakousko
n3:nazevZdroje
3rd International Symposium on Life-Cycle Civil Engineering
n3:obor
n19:JM
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:projekt
n6:TA01011019 n6:GAP105%2F11%2F1385
n3:rokUplatneniVysledku
n20:2012
n3:tvurceVysledku
Lehký, David
n3:typAkce
n18:WRD
n3:zahajeniAkce
2012-10-03+02:00
s:numberOfPages
7
n15:hasPublisher
Neuveden
n17:isbn
978-0-415-62126-7
n11:organizacniJednotka
26110