Data-Fusion Based Vulnerability Analysis of Shield Driven Tunnel Suffering from Extreme Soil Surcharging

Abstract

A new data fusion approach is presented for evaluating the vulnerability curves utilizing multi-source monitoring information. A Bayesian network with continuous variables for a shield driven tunnel involving the loading condition, structural parameters (e.g. stiffness in waist and top joint) and soil parameters (e.g. subgrade reaction and lateral earth pressure) was constructed. Field monitoring data are taken into the Bayesian network to update the uncertain variables. Fragility and vulnerability curves are then drawn using the updated parameters. An example of shield driven tunnel under extreme surcharging is presented to illustrate the proposed methodology. The method is able to integrate the field monitoring information based on the tunnel deformation mechanisms and update the soil and structural parameters.