Artificial neural networks as design tools in concerete airfield pavement design

摘要

An artificial neural network (ANN) model has been trained in this study with the results of ILLI-SLAB finite element program and used as an analysis design tool for predicting stresses in jointed concrete airfield pavements. In addition to various load locations (slab interior, corners and/or edges) and joint load transfer efficiencies, a wide range of realistic airfield slab thicknesses and subgrade suports were considered in training of the ANN model. Under identical dual whell type loading conditions, the trained ANN model produces stresses whith an average of 0.38 percent of those obtained form finite element analyses.