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  5. Headway modelling for traffic load assessment of short to medium span bridges
 
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Headway modelling for traffic load assessment of short to medium span bridges

Author(s)
O'Brien, Eugene J.  
Caprani, Colin C.  
Uri
http://hdl.handle.net/10197/2313
Date Issued
2005-08-16
Date Available
2010-08-06T13:44:36Z
Abstract
Site-specific assessment of the loading to which existing bridges are subject has considerable potential for saving on rehabilitation and replacement costs of the bridge stock. Monte Carlo simulations, with traffic measurements from site, are used to estimate the characteristic values for load effects. In this paper, it is shown that the critical loading events from which the characteristic effects are derived, are strongly dependent on the assumptions used for the headways of successive trucks. A new approach which uses measured headway statistical distributions is developed and is shown to be a reasonable balance between conservative assumptions and less realistic scenarios. The sensitivity of characteristic load effects to conventional headway assumptions is shown to be significant.
Sponsorship
European Research Council
Type of Material
Journal Article
Publisher
Institution of Structural Engineers
Journal
The Structural Engineer
Volume
83
Issue
16
Start Page
33
End Page
36
Copyright (Published Version)
2005 Eugene J. OBrien & Colin C. Caprani
Subjects

Bridge

Assessment

Statistics

Headway

Gap

Load

Traffic

Simulation

Subject – LCSH
Bridges--Live loads
Traffic flow--Measurement
Web versions
http://www.istructe.org/thestructuralengineer/abstract.asp?ID=5494
Language
English
Status of Item
Peer reviewed
ISSN
1466-5123
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
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J23 ISE pap as rev.pdf

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304.4 KB

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Checksum (MD5)

6c0e10fd2b2469e869ce0ac24d2e0fed

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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