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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

File(s)
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Download c116.pdf133.04 KB
Author(s)
Leahy, Cathal 
O'Brien, Eugene J. 
Enright, Bernard 
Uri
http://hdl.handle.net/10197/4077
Date Issued
13 October 2011
Date Available
21T17:03:00Z January 2013
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
Keywords
  • Bridge

  • Characteristic

  • Traffic

  • Kernel Density Estima...

  • Loading

Web versions
http://www.eugenfound.edu.gr/appdata/documents/proceedings_ibsbi_2011.pdf
Language
English
Status of Item
Not peer reviewed
Part of
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
Description
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/
Owning collection
Civil Engineering Research Collection
Views
1792
Acquisition Date
Mar 27, 2023
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Acquisition Date
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