Modelling Extreme Traffic Loading on Bridges Using Kernal Density Estimators

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Title: Modelling Extreme Traffic Loading on Bridges Using Kernal Density Estimators
Authors: Leahy, Cathal
O'Brien, Eugene J.
Enright, Bernard
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Date: 13-Oct-2011
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: BridgeCharacteristicTrafficKernel Density EstimatorsLoading
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Language: en
Status of Item: Not peer reviewed
Is 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
Conference Details: Innovations on Bridges and Soil-Bridge Interaction (IBSBI 2011), Athens, Greece, October 13-15, 2011
ISBN: 978-960-337-106-9
Appears in Collections:Civil Engineering Research Collection

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