Effects of Spatial Repeatability On Long-Term Flexible Pavement Performance

Author:

Collop A C1,Cebon D1,Cole D J1

Affiliation:

1. Department of Engineering, University of Cambridge

Abstract

The effects of spatial repeatability of dynamic tyre forces on the long-term performance of three typical British pavement constructions are investigated. Long-term pavement performance is calculated using a ‘whole-life pavement performance Model’ (WLPPM). The WLPPM is capable of predicting deterministic pavement damage due to realistic traffic and environmental loading, throughout the life of the pavement. Particular attention is given to modelling dynamic tyre forces and patterns of loading applied to the pavement by a typical fleet of heavy vehicles. A method is described for simulating vehicle fleets with varying degrees of spatial repeatability using a small number of dynamic tyre force histories. Results indicate that thinner pavements are most sensitive to the level of spatial repeatability exhibited by the vehicle fleet. Pavement damage predictions made without assuming an appropriate level of spatial repeatability can be in error by 20–150 per cent, the higher values being for thinner pavements that fail by fatigue damage.

Publisher

SAGE Publications

Subject

Mechanical Engineering

Reference29 articles.

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Synthesising spatially repeatable tyre forces from axle load probability distributions;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2015-03-13

2. Modelling the vehicle in vehicle—infrastructure dynamic interaction studies;Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics;2009-12-17

3. Truck fleet model for design and assessment of flexible pavements;Journal of Sound and Vibration;2008-04

4. An investigation of the effects of lorry suspension performance on road maintenance costs;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2007-11-01

5. The use of Bayesian statistics to predict patterns of spatial repeatability;Transportation Research Part C: Emerging Technologies;2006-10

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