Monte Carlo simulation of extreme traffic loading on short and medium span bridges

Files in This Item:
File Description SizeFormat 
J60 MC Sim.pdf924.62 kBAdobe PDFDownload
Title: Monte Carlo simulation of extreme traffic loading on short and medium span bridges
Authors: Enright, Bernard
O'Brien, Eugene J.
Permanent link:
Date: Dec-2013
Online since: 2014-12-01T04:00:09Z
Abstract: The accurate estimation of site-specific lifetime extreme traffic load effects is an important element in the cost-effective assessment of bridges. A common approach is to use statistical distributions derived from weigh-in-motion measurements as the basis for Monte Carlo simulation of traffic loading. However, results are highly sensitive to the assumptions made, not just with regard to vehicle weights but also to axle configurations and gaps between vehicles. This paper presents a comprehensive model for Monte Carlo simulation of bridge loading for free-flowing traffic and shows how the model matches results from measurements on five European highways. The model has been optimised to allow the simulation of many years of traffic and this greatly reduces the variance in calculating estimates for lifetime loading from the model. The approach described here does not remove the uncertainty inherent in estimating lifetime maximum loading from data collected over relatively short time periods.
Type of material: Journal Article
Publisher: Informa UK (Taylor & Francis)
Journal: Structure and Infrastructure Engineering
Volume: 9
Issue: 12
Start page: 1267
End page: 1282
Copyright (published version): 2013 Informa UK (Taylor & Francis)
Keywords: Bridge loadsBridgesHighwayProbabilistic methodsSimulation modelsAssessment
DOI: 10.1080/15732479.2012.688753
Language: en
Status of Item: Peer reviewed
Appears in Collections:Earth Institute Research Collection
Civil Engineering Research Collection

Show full item record

Citations 5

Last Week
Last month
checked on Feb 19, 2019

Google ScholarTM



This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.