From damage identification to reliability assessment.

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

From damage identification to reliability assessment.

Popis výsledku v původním jazyce

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;

Název v anglickém jazyce

From damage identification to reliability assessment.

Popis výsledku anglicky

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;

Druh

D - Stať ve sborníku

CEP obor

JM - Inženýrské stavitelství

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2009

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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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Počet stran výsledku

8

Strana od-do

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Název nakladatele

Neuveden

Místo vydání

Zurich, Switzerland

Místo konání akce

Zurich

Datum konání akce

22. 7. 2009

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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