Title: Impact of pore pressure variations induced by pressurised TBM on neighbouring constructions: field data analysis and numerical modelling with artificial intelligence tools.

In urban areas, mechanised tunneling requires an accurate prediction of the impact of tunnel boring machines (TBM) on neighbouring structures , particularly those founded on piles .
The LTDS /ENTPE (UMR CNRS 5513) and the French Centre for Tunnel Studies (CETU) work on this topic for several years. The objectives of this postdoctoral research are twofold:
1) To improve understanding of pore pressure variations induced by pressurised TBMs and their impact on design methods , through analysis of experimental data from various construction sites, and coupled hydromechanical numerical simulations to evaluate the limits of “classical’ drained calculations.
2) To develop a physics informed machine learning surrogate model to predict pile displacements during TBM excavation.

For further information, see the attached [PDF].