When layer moduli are backcalculated from a set of surface deflections measured by FWD, it has been known that the backcalculated moduli are affected by measurement errors as well as model link error. This paper presents a genetic algorithm based method that minimize the effect of measurement errors on the moduli.
To confirm the validity of the method presented herein, layer moduli are backcalculated by using Monte Carlo simulation and a set of measurement locations which is different from the optimal set. Finally, this paper examines how sensor locations affect to backcalculated layer moduli using FWD data measured on test road.