Incorporating stochastic evaluation in the estimation of soil resilient modulus

The deterministic solutions available to estimate the resilient modulus of unbound materials within the EICM are difficult to interpret because they do not incorporate the variability associated with the inherent soil heterogeneity or the environmental conditions. A framework of a stochastic evaluation of a model used to estimate the soil long-term equilibrium resilient modulus is presented in this paper. The stochastic evaluation presented is performed for only one of the three different hierarchical levels of design. This is accomplished by converting deterministic solution sets into a stochastic solution by using the First Order Taylor Series expansion. This information is extremely useful in decision-making stages of the project.