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Statistical Modelling of the Resilient Behaviour of Unbound Granular Material Cover

Statistical Modelling of the Resilient Behaviour of Unbound Granular Material

Open Access
|Apr 2013

Abstract

The resilient behaviour of an unsaturated, unbound granular material is a primary input used in the mechanistic analysis of pavements incorporating such layers. Various models exist for the determination of the resilient behaviour, mainly based on the output of tri-axial laboratory testing. This paper describes an investigation where basic engineering properties such as grading, laboratory compaction characteristics and optimum moisture content are incorporated into the resilient behaviour model to quantify the effect of basic material properties on the resilient response of unsaturated, unbound granular materials. Such a resilient behaviour model will enable practitioners to estimate the behaviour of specific material, which might enable the use of available quality material that was discarded in the past. Data from tri-axial laboratory tests on materials originating from the Long Term Pavement Performance test sections are combined with basic engineering parameters of typical unbound granular material through a statistical modelling process to develop a model for predicting resilient behaviour, which can be used as a practical predictor of the expected behaviour during a Level 2 and/or Level 3 Mechanistic Empirical Pavement Design analysis. The work illustrates the process and the potential to develop a general resilient behaviour model for unbound granular materials incorporating saturation effects.

DOI: https://doi.org/10.2478/sjce-2013-0002 | Journal eISSN: 1338-3973 | Journal ISSN: 1210-3896
Language: English
Page range: 9 - 16
Published on: Apr 13, 2013
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2013 Elsabe Van Aswegen, Wynand J. Vdm. Steyn, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons License.