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Modelling Extreme Traffic Loading on Bridges Using Kernal Density Estimators
Author(s)
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.
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Not peer reviewed
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
File(s)
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Name
c116.pdf
Size
133.04 KB
Format
Adobe PDF
Checksum (MD5)
2d68b13ab0408a9ff7647e1e07e0dbb2
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