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  5. Simplifed site-Specific traffic load models for bridge assessment
 
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Simplifed site-Specific traffic load models for bridge assessment

Alternative Title
Site-specific traffic load assessment recommendations
Author(s)
Getachew, Abraham  
O'Brien, Eugene J.  
Uri
http://hdl.handle.net/10197/2320
Date Issued
2007-12
Date Available
2010-08-09T11:45:05Z
Abstract
Traffic load is identified as one of the greatest sources of uncertainty in the assessment of bridges. In recent years, simulation techniques, using measured traffic data, have been used to predict the characteristic traffic load effects on bridges. However, the techniques are complex, sensitive to the assumptions adopted and require specialist statistical expertise. This work presents a simplified site-specific traffic load model that generates comparable load effects to the corresponding results from a full simulation. While the simplified model is still sensitive to the underlying assumptions, these can be carefully reviewed prior to the method being approved. Further, the simplified method can be employed by practicing engineers for bridge assessment.
Sponsorship
European Research Council
Type of Material
Journal Article
Publisher
Taylor & Francis
Journal
Structure and Infrastructure Engineering
Volume
3
Issue
4
Start Page
303
End Page
311
Copyright (Published Version)
2007 Taylor & Francis
Subjects

Bridge

Simplified model

Assessment

Site-specific

Weigh-in-motion

Monte Carlo simulatio...

Subject – LCSH
Bridges--Live loads--Computer simulation
Monte Carlo method
DOI
10.1080/15732470500424245
Web versions
http://dx.doi.org/10.1080/15732470500424245
Language
English
Status of Item
Peer reviewed
ISSN
1744-8980 (electronic)
1573-2479 (paper)
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
File(s)
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J27_SIE_Paper_final edit.pdf

Size

289.29 KB

Format

Adobe PDF

Checksum (MD5)

e088fce0b7defc9bbb4e916137322c05

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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