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Statistical evaluation of resilient models characterizing coarse granular materials

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Abstract

Consistent material modeling is a prerequisite for a mechanistic approach to pavement design. The scope of this investigation was to statistically evaluate the efficiency of various resilient models commonly encountered in highway engineering. These models were categorized as describing either resilient modulus or shear and volumetric strains. Triaxial tests using constant and cyclic confining pressure were performed on coarse granular materials of various gradings (maximum particle size 90 mm). Two statistical methods, the extra sum of squares F-test and the Akaike information criterion, were used for model comparison. Concerning resilient modulus, the Uzan model provided, in general, a statistically significant improvement compared to the k–θ model. However, this improvement is lost if a constant Poisson ratio is used to predict shear and volumetric strains. In case of the shear–volumetric approach, no single model was most likely to be the best model for all gradings studied.

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  1. Division of Highway Engineering, Royal Institute of Technology, Stockholm, 100 44, Sweden

    Jonas Ekblad

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  1. Jonas Ekblad
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Correspondence to Jonas Ekblad.

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Ekblad, J. Statistical evaluation of resilient models characterizing coarse granular materials. Mater Struct 41, 509–525 (2008). https://doi.org/10.1617/s11527-007-9262-9

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  • DOI: https://doi.org/10.1617/s11527-007-9262-9

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