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Modelling Extreme Traffic Loading on Bridges Using Kernal Density Estimators
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File | Description | Size | Format | |
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c116.pdf | 133.04 KB |
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
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Not peer reviewed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
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