Stability of Subsea Tunnels Using Finite Element Limit Analysis and Adaptive Neuro-Fuzzy Inference System

Abstract

Abstract Construction of subsea tunnels has grown significantly in recent decades around the world. Hence, ensuring the stability of these tunnels is very important. However, investigating the stability of subsea tunnels has not received enough attention. In the present study, the finite element limit analysis (FELA) was used to determine the internal pressure needed to maintain the stability of circular subsea tunnels embedded in a Tresca material by considering various values for the influential parameters. It was observed that the required internal pressure, in a dimensionless form, increased by increasing soil cover and water depth. The failure mechanism was also investigated. It was observed that the mechanism did not cover the tunnel’s roof for lower values of soil cover and soil’s undrained shear strength. An adaptive neuro-fuzzy inference system (ANFIS) was implemented to predict the required dimensionless internal pressure. It was seen that in this regard, the performance of ANFIS was far better than the multiple linear regression (MLR).