Traffic load modelling and factors influencing the accuracy of predicted extremes

DC FieldValueLanguage
dc.contributor.authorO'Connor, Alan
dc.contributor.authorO'Brien, Eugene J. NRC Canadaen
dc.identifier.citationCanadian Journal of Civil Engineeringen
dc.description.abstractDesign 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.sponsorshipNot applicableen
dc.format.extent576471 bytes
dc.publisherNRC Research Pressen
dc.relation.requiresCritical Infrastructure Group Research Collectionen
dc.subjectLoad effectsen
dc.subjectCharacteristic valuesen
dc.subjectTraffic flowen
dc.subjectMonte Carloen
dc.subject.lcshBridges--Live loads--Computer simulationen
dc.subject.lcshMotor vehicle scalesen
dc.subject.lcshMonte Carlo methoden
dc.titleTraffic load modelling and factors influencing the accuracy of predicted extremesen
dc.title.alternativeMathematical traffic load modelling and factors influencing the accuracy of predicted extremesen
dc.typeJournal Articleen
dc.internal.availabilityFull text availableen
dc.statusPeer revieweden
dc.neeo.contributorO'Brien|Eugene J.|aut|-
dc.description.adminRecord needs to link to publisher version - DG 09/07/10 ke-AL 23/07/2010en
item.fulltextWith Fulltext-
Appears in Collections:Critical Infrastructure Group Research Collection
Civil Engineering Research Collection
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