Modeling the mechanical behavior of fiber-reinforced polymeric composite materials using artificial neural networks—A review

Abstract

Artificial neural networks (ANN) have emerged as one of the useful artificial intelligence concepts used in the various engineering applications. Due to their massively parallel structure and ability to learn by example, ANN can deal with non-linear modeling for which an accurate analytical solution is difficult to obtain. ANN have already been used in medical applications, image and speech recognition, classification and control of dynamic systems, among others; but only recently have they been used in modeling the mechanical behavior of fiber-reinforced composite materials. This work is an attempt to reflect on the work done in the mechanical modeling of fiber-reinforced composite materials using ANN during the last decade.