Analysing dynamic wheel loading and its effects on the network.

Author(s)
Wright, B. & Blanksby, C.
Year
Abstract

This interim report is the third of three deliverables in the 2013—14 and 2014—15 project years for Austroads project AT1733, Analysing Dynamic Wheel Loading and its Effects on the Network. The purpose of the project is to quantify the impacts of dynamic wheel loads applied by vehicles to pavement surfaces and bridges. The first two deliverables were the first and second progress reports. As documented in the report, the project has implemented changes in approach to overcome limitations in previously trialled models for linking vehicle/road characteristics and dynamic wheel loads. In particular, a physical dynamics model has been implemented to replace previous statistical models, and provide a more reliable and accurate link between wheel loads and road profile, and enable calculations of spatial repeatability. This approach, and the selected dynamic parameters to study, was supported through a comprehensive literature review. A test program, specifically designed to collect data to support this revised modelling approach, was also carried out successfully (note that previously acquired test data will still be applicable and useful in forming the final analysis, once initial analysis is completed with the new data). The following steps remain to be completed during 2014—15, to deliver the desired objectives for the project: • continue developing the vehicle model that links vehicle physical parameters, road profile and subsequent road wear • validate the selection of parameters that contribute to dynamic wheel loads • survey the roads used for vehicle testing to provide high-resolution spatial data for input to the model • calculate spatial repeatability index (SRI) results for test data • calibrate and validate the physical model, using test results and road survey data • use the validated physical model to predict DLC and other metrics as determined through previous test programs • use the validated physical model to extrapolate results for other vehicle configurations, speeds, suspension condition and road condition • summarise the relationship between identified vehicle and road parameters, and the likely magnitude of associated road damage. (Author/publisher)

Publication

Library number
20150961 ST [electronic version only]
Source

Sydney, NSW, AUSTROADS, 2015, III + 81 p., 27 ref.; AUSTROADS Research Report AP-T297-15 - ISBN 978-1-925294-45-3

Our collection

This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.