Truck fleet model for design and assessment of flexible pavements

DC FieldValueLanguage
dc.contributor.authorBelay, Abraham-
dc.contributor.authorO'Brien, Eugene J.-
dc.contributor.authorKroese, Dirk P.-
dc.date.accessioned2010-08-10T15:25:33Z-
dc.date.available2010-08-10T15:25:33Z-
dc.date.copyright2007 Elsevier Ltden
dc.date.issued2008-04-
dc.identifier.citationJournal of Sound and Vibrationen
dc.identifier.issn0022-460X-
dc.identifier.urihttp://hdl.handle.net/10197/2336-
dc.description.abstractThe mechanistic empirical method of flexible pavement design/assessment uses a large number of numerical truck model runs to predict a history of dynamic load. The pattern of dynamic load distribution along the pavement is a key factor in the design/ assessment of flexible pavement. While this can be measured in particular cases, there are no reliable methods of predicting the mean pattern for typical traffic conditions. A simple linear quarter car model is developed here which aims to reproduce the mean and variance of dynamic loading of the truck fleet at a given site. This probabilistic model reflects the range and frequency of the different heavy trucks on the road and their dynamic properties. Multiple Sensor Weigh-in-Motion data can be used to calibrate the model. Truck properties such as suspension stiffness, suspension damping, sprung mass, unsprung mass and tyre stiffness are represented as randomly varying parameters in the fleet model. It is used to predict the statistical distribution of dynamic load at each measurement point. The concept is demonstrated by using a pre-defined truck fleet to calculate a pattern of statistical spatial repeatability and is tested by using that pattern to find the truck statistical properties that generated it.en
dc.description.sponsorshipEuropean Research Councilen
dc.format.extent308097 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.publisherElsevieren
dc.relation.requiresCritical Infrastructure Group Research Collectionen
dc.rightsAll rights reserveden
dc.subjectMultiple Sensoren
dc.subjectWeigh in Motionen
dc.subjectWIMen
dc.subjectSpatial repeatabilityen
dc.subjectDynamic loaden
dc.subjectFleet modelen
dc.subjectProbabilisticen
dc.subjectStatisticalen
dc.subjectMechanistic empiricalen
dc.subject.lcshPavements, Flexible--Live loads--Statistical methodsen
dc.subject.lcshMotor vehicle scalesen
dc.subject.lcshSpatial analysis (Statistics)en
dc.titleTruck fleet model for design and assessment of flexible pavementsen
dc.typeJournal Articleen
dc.internal.availabilityFull text availableen
dc.internal.webversionshttp://dx.doi.org/10.1016/j.jsv.2007.10.019-
dc.statusPeer revieweden
dc.identifier.volume311en
dc.identifier.issue3-5en
dc.identifier.startpage1161en
dc.identifier.endpage1174en
dc.identifier.doi10.1016/j.jsv.2007.10.019-
dc.neeo.contributorBelay|Abraham|aut|-
dc.neeo.contributorO'Brien|Eugene J.|aut|-
dc.neeo.contributorKroese|Dirk P.|aut|-
dc.description.adminRecord must link to DOI version - http://dx.doi.org/10.1016/j.jsv.2007.10.019. DG 09/07/10 au,ti,ke.kpw23/07/10en
item.grantfulltextopen-
item.fulltextWith Fulltext-
Appears in Collections:Critical Infrastructure Group Research Collection
Civil Engineering Research Collection
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