From damage identification to reliability assessment.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F09%3APU85959" target="_blank" >RIV/00216305:26110/09:PU85959 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
From damage identification to reliability assessment.
Original language description
The analysis of damage and variability of material properties (stiffness) along the structure is essential to capture the stage of the structure and to predict a future behavior including reliability assessment. Two identification methods are used: artificial neural network (ANN) combined with stochastic analysis and sensitivity based method. The proposed methodology utilizes the dynamic response of structures when results of modal analysis are the input parameters (frequencies, modeshapes, etc.). Moreover, a logically complex and systematic treatment of concrete bridges is suggested in the paper. A statistical simulation of the Monte Carlo type is utilized twice in our approach: (i) at the stage of preparation of the training set for ANN and/or in sensitivity based identification and, once the model parameters are identified, (ii) to obtain the statistics of the response and for reliability calculations. The procedure can be outlined as follows: Experiment/health monitoring of bridge;
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JM - Structural engineering
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
4th International Conference on Structural Health Monitoring on Intelligent Infrastructure (SHMII-4)
ISBN
978-3-905594-52-2
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
Neuveden
Place of publication
Zurich, Switzerland
Event location
Zurich
Event date
Jul 22, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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