Influence Analysis of Rock Mass Mechanical Properties on Tunnel Rock Stability Based on Sensor Data Integration

This study takes the multisensor monitoring data of tunnel support structure and surrounding rock mechanical properties during TBM construction as research object, integrates through an intelligent optimization algorithm, explores self-consistent fusion characteristics between structural field data. At same time, parameters progress in process are dynamically adjusted scientifically integrated information feedback The results follows: (1) excavation rate is different under strengths levels. overall performance that harder rock, lower level, faster rate. relationship FPI deformation closer, correlation coefficient reaches 98%. have greatest influence on its deformation. (2) rotation speed, thrust, torque machinery well workability index maintain a good fitting relationship, with more than 85%. After improved PSO-BP algorithm used to calculate fit four torque, rotational drivable construction, accuracy higher 94%. (3) according analysis results, effect thrust best among four-parameter degrees, which 99.3%. (4) measured points evenly distributed near surface calculated by variance 0.972. With excavation, settlement first increases rapidly, then, enters slow growth stage finally relatively stable state. (5) jam occurs, expanded from telescopic shield or tail outer side reduce contact area extrusion pressure shield.