Pareto Optimisation Approach for Functional Design of Pervious Pavements Using Numerical Modelling

Abstract

The functional efficiency of the pervious pavement is evaluated in terms of skid resistance and tire/road noise, which determines the highway safety and comfort benefits to the travellers. The primary objective of this paper is to incorporate the functional performances such as frictional and acoustic characteristics into the pervious pavement design procedures. The existing pervious pavement design procedures assume that the functional requirement is satisfied arbitrarily with the volumetric and composition requirement. This paper formulates the functional design of porous mixture as the bi-objective optimization model, which maximizes the skid number and minimizes the tire/road noise level, both were obtained from the numerical simulation models. A fast nondominated sorting genetic algorithm (NSGA II) was adopted as the solution algorithm to solve the optimization model. Pareto solutions from this model indicate that the performance of skid resistance could not be improved without increasing the tire/road noise. The optimum solutions for this model were selected as the appropriate trade-off between both the parameters. This model allows a highway agency for the incorporation of frictional and acoustic parameters into the existing pervious pavement mixture and thickness design procedures.