Development of a predictive model for the resilient modulus of unbound materials.

摘要

This dissertation presents the development of a resilient modulus predictive model for unbound materials (coarse-grained and fine-grained), capable of estimating changes in modulus as a function of changes in state of stress, moisture and density. The model was developed specifically for use in pavement response models and mechanistic-empirical design methods and fulfills key requirements of accuracy, computational stability and implementabilty in existing mechanistic-empirical design methodologies. The model was developed using test data generated from 96 resilient modulus laboratory tests on 8 materials (4 bases and 4 subgrades) that are typically used in highway construction projects in Arizona. Model parameters have been generated for each of the 8 materials and for groups of materials.