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  5. Importance of the tail in truck weight modeling for bridge assessment
 
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Importance of the tail in truck weight modeling for bridge assessment

Author(s)
O'Brien, Eugene J.  
Enright, Bernard  
Getachew, Abraham  
Uri
http://hdl.handle.net/10197/2317
Date Issued
2010-03
Date Available
2010-08-06T15:46:16Z
Abstract
To predict characteristic extreme traffic load effects, simulations are sometimes performed of bridge loading events. To generalize the truck weight data, statistical distributions are fitted to histograms of weight measurements. This paper is based on extensive weigh-in-motion measurements from two European sites and shows the sensitivity of the characteristic traffic load effects to the fitting process. A semiparametric fitting procedure is proposed: direct use of the measured histogram where there are sufficient data for this to be reliable and parametric fitting to a statistical distribution in the tail region where there are less data. Calculated characteristic load effects are shown to be highly sensitive to the fit in the tail region of the histogram.
Sponsorship
European Research Council
Type of Material
Journal Article
Publisher
American Society of Civil Engineering (ASCE)
Journal
Journal of Bridge Engineering
Volume
15
Issue
2
Start Page
210
End Page
213
Copyright (Published Version)
2010 ASCE
Subjects

Bridge

Assessment

Traffic

Load effect

Loading

Weigh-in-motion

WIM

Simulation

Tail

Semiparametric

Subject – LCSH
Bridges--Live loads--Mathematical models
Trucks--Weight--Evaluation
DOI
10.1061/(ASCE)BE.1943-5592.0000043
Web versions
http://dx.doi.org/10.1061/(ASCE)BE.1943-5592.0000043
Language
English
Status of Item
Peer reviewed
ISSN
1084-0702
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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J49 OBrien et al - GVW Tail modeling - manuscript BE-2004-022901 as snt.pdf

Size

287.29 KB

Format

Adobe PDF

Checksum (MD5)

1a817e914dbeae3bc82c9b6d1c0dab4a

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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