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  5. Modelling Extreme Traffic Loading on Bridges Using Kernal Density Estimators
 
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Modelling Extreme Traffic Loading on Bridges Using Kernal Density Estimators

Author(s)
Leahy, Cathal  
O'Brien, Eugene J.  
Enright, Bernard  
Uri
http://hdl.handle.net/10197/4077
Date Issued
2011-10-13
Date Available
2013-01-21T17:03:00Z
Abstract
Kernel density estimators are a non-parametric method of
estimating the probability density function of sample data. In this paper, the
method is applied to find characteristic maximum daily truck weights on
highway bridges. The results are then compared with the conventional
approach.
Type of Material
Conference Publication
Publisher
Eugenides Foundation
Copyright (Published Version)
2011, Eugenides Foundation
Subjects

Bridge

Characteristic

Traffic

Kernel Density Estima...

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Web versions
http://www.eugenfound.edu.gr/appdata/documents/proceedings_ibsbi_2011.pdf
Language
English
Status of Item
Not peer reviewed
Journal
Michaltsos, G.T. and Gazetas, G. (eds.). Proceedings of the INTERNATIONAL CONFERENCE IBSBI 2011 “Innovations on Bridges and Soil-Bridge Interaction” October 13-15, 2011 Athens, Greece
Conference Details
Innovations on Bridges and Soil-Bridge Interaction (IBSBI 2011), Athens, Greece, October 13-15, 2011
ISBN
978-960-337-106-9
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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Thumbnail Image
Name

c116.pdf

Size

133.04 KB

Format

Adobe PDF

Checksum (MD5)

2d68b13ab0408a9ff7647e1e07e0dbb2

Owning collection
Civil Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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