Traffic load modelling and factors influencing the accuracy of predicted extremes

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dc.contributor.author O'Connor, Alan
dc.contributor.author O'Brien, Eugene J.
dc.date.accessioned 2010-08-10T14:22:50Z
dc.date.available 2010-08-10T14:22:50Z
dc.date.copyright 2005 NRC Canada en
dc.date.issued 2005-02
dc.identifier.citation Canadian Journal of Civil Engineering en
dc.identifier.issn 1208-6029
dc.identifier.uri http://hdl.handle.net/10197/2334
dc.description.abstract Design and assessment of highway bridge structures requires accurate prediction of the maximum load effects, i.e. shear forces and bending moments etc., which may be expected during the proposed or remaining life of the structure. Traditionally these effects are calculated using conservative deterministic loading models prescribed by codes of practice. The inherent conservatism of these models lies in their need to be widely applicable. While this conservatism is relatively insignificant in design, it may be critical in assessment. In recent years advances in Weigh-in-Motion (WIM) technology have led to the increased availability of accurate and unbiased site-specific traffic records. These records have been successfully employed in the derivation of site-specific loading models and in calculation of load effects in assessment of bridge structures. The results of these assessments are accepted to be less conservative than those performed using generalised codified loading models. Given this reduction in the conservatism of the calculation it is important to quantify the implication of factors such as data inaccuracy or traffic growth on the calculated maximum load effects. This paper briefly describes the mathematical modelling involved in traffic simulation using WIM statistics. The results of direct simulations performed using WIM data are compared with those obtained through the statistical simulation technique termed Monte Carlo simulation, which is regularly employed where insufficient measured data exists. The implications of the accuracy of the recorded WIM data and the duration of recording on the predicted load effect are assessed along with the sensitivity of the extreme to the method of prediction. The effect of traffic evolution with time in terms of increased volumes of flow and weight limits are also explored. en
dc.description.sponsorship Not applicable en
dc.format.extent 576471 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher NRC Research Press en
dc.relation.requires Critical Infrastructure Group Research Collection en
dc.subject Bridge en
dc.subject Load effects en
dc.subject Characteristic values en
dc.subject Simulation en
dc.subject Traffic flow en
dc.subject Monte Carlo en
dc.subject Weigh-in-motion en
dc.subject WIM en
dc.subject.lcsh Bridges--Live loads--Computer simulation en
dc.subject.lcsh Motor vehicle scales en
dc.subject.lcsh Monte Carlo method en
dc.title Traffic load modelling and factors influencing the accuracy of predicted extremes en
dc.title.alternative Mathematical traffic load modelling and factors influencing the accuracy of predicted extremes en
dc.type Journal Article en
dc.internal.availability Full text available en
dc.internal.webversions Publisher's version en
dc.internal.webversions http://dx.doi.org/10.1139/l04-092 en
dc.status Peer reviewed en
dc.identifier.volume 32 en
dc.identifier.issue 1 en
dc.identifier.startpage 270 en
dc.identifier.endpage 278 en
dc.identifier.doi 10.1139/l04-092
dc.neeo.contributor O'Connor|Alan|aut| en
dc.neeo.contributor O'Brien|Eugene J.|aut| en
dc.description.admin Record needs to link to publisher version - http://article.pubs.nrc-cnrc.gc.ca/RPAS/rpv?hm=HInit&calyLang=eng&journal=cjce&volume=32&afpf=l04-092.pdf. DG 09/07/10 ke-AL 23/07/2010 en


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