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Publication detail
LEHKÝ, D.
Original Title
Early warning system of roofs overloaded by snow based on measurements and inverse analysis.
Type
conference paper
Language
English
Original Abstract
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.
Keywords
Early warning system, snow load overloading, inverse analysis, artificial neural network, load identification.
Authors
RIV year
2012
Released
3. 10. 2012
Location
Vídeň, Rakousko
ISBN
978-0-415-62126-7
Book
3rd International Symposium on Life-Cycle Civil Engineering
Pages from
2175
Pages to
2181
Pages count
7
BibTex
@inproceedings{BUT97452, author="David {Lehký}", title="Early warning system of roofs overloaded by snow based on measurements and inverse analysis.", booktitle="3rd International Symposium on Life-Cycle Civil Engineering", year="2012", pages="2175--2181", address="Vídeň, Rakousko", isbn="978-0-415-62126-7" }