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Estimation of Resilient Modulus of Unbound Granular Materials from Senegal (West Africa)
Laboratoire de Mécanique et Modélisation-UFR Sciences de l’ Ingénieur, Université de Thiès, Thiès, Sénégal
Laboratoire de Mécanique et Modélisation-UFR Sciences de l’ Ingénieur, Université de Thiès, Thiès, Sénégal
UFR Ingénierie, Université Paris VI—Pierre et Marie Curie, Paris, France
Laboratoire de Mécanique et Modélisation-UFR Sciences de l’ Ingénieur, Université de Thiès, Thiès, Sénégal
- 1 Laboratoire de Mécanique et Modélisation-UFR Sciences de l’ Ingénieur, Université de Thiès, Thiès, Sénégal
- 2 Laboratoire de Mécanique et Modélisation-UFR Sciences de l’ Ingénieur, Université de Thiès, Thiès, Sénégal
- 3 UFR Ingénierie, Université Paris VI—Pierre et Marie Curie, Paris, France
- 4 Laboratoire de Mécanique et Modélisation-UFR Sciences de l’ Ingénieur, Université de Thiès, Thiès, Sénégal
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Abstract
The resilient modulus ( M r ) is an important parameter which describes the mechanical behavior of unbound granular materials. However, this parameter can be determined from physical properties. This paper presents the relationship between resilient modulus and physical properties of Quartzite from Bakel (GB), Basalt from Diack and Bargny and Bandia limestones. Simple and multiple regression method by stepwise are used to establish linear and nonlinear relations to predict the resilient modulus. The results showed no significant correlation for Basalt, a weak estimation of the modulus for GB and good prediction of resilient modulus for limestone. These results also showed that the model of Uzan is more suitable to predict the resilient modulus than NCHRP model and the resilient modulus is better predicted in nonlinear relationship.
KeywordsResilient ModulusMechanical BehaviorCorrelationPhysical PropertiesUnbound Granular Materials
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