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  5. Estimation of structural parameters using static loading tests
 
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Estimation of structural parameters using static loading tests

Author(s)
Covián, E.  
Casero, Miguel  
González, Arturo  
Uri
http://hdl.handle.net/10197/6539
Date Issued
2013-06-20
Date Available
2015-05-07T12:15:40Z
Abstract
Static damage detection techniques make use of the observed change in the structure's static response (i.e., displacement, strain) to identify, locate and quantify damage. For a given load, the static response is related to the boundary conditions and distribution of structural stiffness throughout the structure. As damage can be characterised as a local reduction in structural stiffness, analysis of the structure's static response has been used extensively to locate and quantify damage. In recent years many new static damage detection techniques have been proposed, with most of the research being focused on the development of finite element based algorithms to estimate the stiffness of the structure. This paper reviews these techniques and discusses their potential when using modern surveying techniques.
Other Sponsorship
Spanish Government, Programa Nacional de Proyectos de Investigación Fundamental, VI Plan Nacional de Investigación Científica, Desarrollo e Innovación Tecnológica 2008-2011
Type of Material
Conference Publication
Subjects

Damage assessment

Static testing

Optimization

Finite element modeli...

Web versions
http://icossar2013.org/
Language
English
Status of Item
Peer reviewed
Conference Details
11th International Conference on Structural Safety and Reliability (ICOSSAR 2013), Columbia University, New York, USA, 16-20 June 2013
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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Covian_etal_2013_Estimation_of_structural_parameters_using_static_loading_tests.pdf

Size

658.59 KB

Format

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Checksum (MD5)

5249f81ccd643932e576516365180b29

Owning collection
Civil Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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