An Assessment for the Predicting of Road Embankment Stability with Artificial Intelligence Techniques

Abstract

The geotechnical characteristics of soil exhibit uncertain and diverse behavior resulting from complicated and imprecise physical procedures associated with the formation of these materials. Unpredictability modelling of soil behaviour is one of the fundamental difficulties faced by engineers in the design of road embankment stability. Artificial Intelligence (AI) has been increasingly focused on modelling a complicated embankment behavior in studies as it has shown superior predictive capacities compared to conventional methods. The purpose of this paper is to provide a review of certain selected AI methods on their applications in embankment stability and presents key features involved with modelling these AI approaches. This paper subsequently discusses the strengths and constraints of the AI methods chosen in comparison with other approaches to modelling.