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Utveckling och uppgradering av prognosmodell för beläggningsslitage från dubbade däck samt en kunskapsöversikt över inverkande faktorer: version 3.2.03
Swedish National Road and Transport Research Institute.
Swedish National Road and Transport Research Institute.
2007 (Swedish)Report (Other academic)
Abstract [sv]

Prediction models that describe changes in the condition of various portions of a road structure constitute valuable tools for evaluating service life and economics of a road structure or of a surfacing measure. Prediction models also constitute the core of planning systems - Pavement Management Systems - which are based on changes in the condition of various road structures and asphalt layers depending on traffic and time. The prediction model discussed in this report describes the magnitude of wear of pavement and of rut formation created by vehicles with studded tyres. The model is based on the results and experiences gathered during the last twenty years of work at VTI (the Swedish National Road and Transport Research Institute) with the objective of developing and evaluating the wear resistance of asphalt wearing courses. The objective was to develop a computer based prediction model for the rut formation that is caused by wear from studded tires. The model should both provide a prediction of the wear resistance of the wearing course based on data regarding the type of wearing course, the properties of component materials, and a model of the rut profile based on data for type of road, amount traffic, etc. In the first stage, the model was limited to include wearing courses of type ABT (dense-graded asphalt concrete) and ABS (stone matrix asphalt). However, these two types of wearing courses are by far the most common road surfaces on medium to high trafficked roads in Sweden. During the following years the wear model has been validated and calibrated a couple of times. A new updated version of the model was developed during year 2006. In this latest version a few new road types have been added to the model, 2+1 roads and roads with extremely narrow lanes. In the new version it is also possible to use Prall data as input to the model. Prall data is the output from a laboratory wear testing device.

Place, publisher, year, edition, pages
Linköping: VTI., VTI notat 7-2007 , 2007. , 52 p.
VTI notat
Keyword [en]
Wearing course, Wear, Studded tyre, Forecast, Model, Rutting, Transverse profile, Cost, Input data, Bituminous mixture, Aggregate, Binder, Flexible pavement
Research subject
Road: Maintenance; Road: Highway design, Road: Surfacing
URN: urn:nbn:se:vti:diva-1632OAI: diva2:670344
Available from: 2013-12-03 Created: 2013-12-03 Last updated: 2013-12-03

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Jacobson, TorbjörnWågberg, Lars-Göran
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