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Dynamic damage identification based on artificial neural networks, SARA - Part IV.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F07%3APU71708" target="_blank" >RIV/00216305:26110/07:PU71708 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Dynamic damage identification based on artificial neural networks, SARA - Part IV.

  • Original language description

    The paper is focused on damage identification of dynamically loaded structures using methods of artificial intelligence, the damage and variability of material properties along the structure will be studied. The identification method based on coupling ofartificial neural networks and stochastic analysis of the input parameters is the integral part of the method. The proposed methodology is extended towards the dynamic response of structures when results of modal analysis are the input parameters.

  • Czech name

    Identifikace poškození dynamicky namáhaných konstrukcí pomocí umělých neuronových sítí, SARA - část IV.

  • Czech description

    Článek se zabývá identifikací poškození dynamicky namáhaných konstrukcí pomocí umělých neuronových sítí, SARA - část IV.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JM - Structural engineering

  • OECD FORD branch

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

    2007

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Structural health monitoring of intelligent Infrastructure

  • ISBN

    978-0-9736430-4-6

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    183-191

  • Publisher name

    Neuveden

  • Place of publication

    Vancouver, Canada

  • Event location

    Vancouver

  • Event date

    Nov 14, 2007

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article