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  5. Assessment of the condition of a beam using a static loading test
 
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Assessment of the condition of a beam using a static loading test

Author(s)
Walsh, Brian J.  
González, Arturo  
Uri
http://hdl.handle.net/10197/2539
Date Issued
2009-05
Date Available
2010-11-04T16:37:09Z
Abstract
This paper presents a novel approach for structural damage detection. The cross-entropy method is used to estimate the structural parameters of a simply supported beam from its response to a static load consisting of a heavy vehicle. Various states of beam damage are modelled through local reductions in flexural rigidity. The proposed method estimates the distribution of stiffness throughout the beam using the deflections due to a heavy load located on the beam. Parameters such as initial
distribution values, structural model, number of readings and sample size are varied to assess their influence on the prediction of the damage severity and its location.
Sponsorship
Other funder
Other Sponsorship
6th European framework project ARCHES (Assessment and Rehabilitation of Central European Highway Structures)
Type of Material
Journal Article
Publisher
Trans Tech Publications Inc.
Journal
Key Engineering Materials
Volume
413-414
Start Page
269
End Page
276
Copyright (Published Version)
2009 Trans Tech Publications
Subjects

Damage detection

System identification...

Cross-entropy

Subject – LCSH
Structural analysis (Engineering)
Girders--Testing
Cross-entropy method
Dead loads (Mechanics)
System identification
DOI
10.4028/www.scientific.net/KEM.413-414.269
Web versions
http://www.scientific.net/KEM.413-414.269
Language
English
Status of Item
Peer reviewed
ISSN
1662-9795
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
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Key_engineering_materials_2009.pdf

Size

1.67 MB

Format

Adobe PDF

Checksum (MD5)

eeb08eceaffd70a16979f04e1218d085

Owning collection
Civil Engineering Research Collection
Mapped collections
Critical Infrastructure Group 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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