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This paper proposes a new hybrid analytical-experimental methodology for the determination of the complex modulus of resilient materials as for e.g., composition cork-like materials.
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The correlations equations by which resilient modulus can be obtained from Young's modulus derived from laboratory data are: Open image in new window Fig. 7 Regression of resilient modulus values with Young's modulus values computed from laboratory CBR {M}_R=33.048 Inleft {E}_Rright -62.776 (8) {M}_R=1.065{E}_R+12.69 (9) {M}_R=0.440{E}_R + 43.384 (10).
Furthermore, the resilient modulus is influenced by the addition of graphite, the value of resilient modulus is as much as that of the original, it is 90% when graphite is 30 vol.% and is 70% when graphite is 45 vol.%.
The values of resilient modulus computed are now regressed with the values of Young's modulus obtained from the laboratory CBR data.
As the laboratory determination of resilient modulus is costly, time consuming and cumbersome, several empirical models are developed for the prediction of resilient modulus for different regions of the world based on the database of resilient modulus values of local soils.
It also revealed that the effects of bell-shaped loading on the dynamic modulus and resilient modulus of asphalt mixture increased with increasing nominal maximum aggregate size.
Plots of resilient modulus values computed with the three expressions and the field CBR is presented in Fig. 6.
Anochie-Boateng et al. (2010) reports laboratory values of resilient modulus between 56.5 MPa and 99.2 MPa.
Nonetheless, sensitivity of resilient modulus to the temperature decreases with incorporation of both marginal materials.
The main laboratory tests consisted of resilient modulus and indirect tensile fatigue test.
A number of relationships are available in literature on the estimation of resilient modulus using the Penetration Index of the DCP and CBR laboratory data.
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