Structural Safety Association Analysis for Operating Tunnel based on FP-growth Algorithm

Abstract

Based upon the monitoring data from shield tunnels of 6 subways in a city, the standardized structure safety data set containing 350,000 tunnel segment data is built. The tunnel segment deformation, soil property, buried depth and surrounding environment etc. are considered in the data set. With FP-growth algorithm, association analysis of the influence factors onto the tunnel structural safety is carried out. In view of the structural defects of tunnel segments, the lift degree is selected as the index to evaluate the influences of the convergent deformation of tunnel segments, operating years and soil characteristics on segment defects. Based on the quantitative association rules of convergent deformation of tunnel segments, the influence of the independent factor on the convergent deformation under different operating years is analyzed. The association analysis results can reflect the distribution and development law of segment disease and convergent deformation, which is assistive to the operation and maintenance of Metro tunnel.