Application of Artificial Intelligence in Geotechnical Engineering: A Review

In engineering, the soils are majorly classified as cohesive and non-cohesive soil. The cohesive soil changes its behavior in the presence of water. Each soil has different geotechnical properties, such as consistency limits, compaction parameters, strength parameters, and permeability, representing the soil’s behavior. The laboratory procedures are time-consuming and cumbersome. Therefore, several researchers have used artificial intelligence techniques to compute the geotechnical properties of soil. The literature reveals that AI techniques give the most optimistic prediction of the engineering properties of soil. Also, the literature demonstrates that the effect of the quality and quantity of the database has not been analyzed in predicting the geotechnical properties of soil. The present study maps the future scope for determining the impact of the quality, quantity, and multicollinearity of the database in predicting the engineering properties of coarse and fine-grained soils.