Analysis Of Bridge Safety Assessment With Correlation Between Measuring Points For Bridge Health Monitoring
Jianting Zhou, Jianxi Yang · Intelligent Automation & Soft Computing · 2011
Abstract By using linear statistical coefficients such as Pearson, Spearman and Kendall’s, and nonlinear methods such as time-delayed transfer entropy and mutual information, the correlation between the observation stations of bridge health monitoring system is obtained. A model for predicting structural safety based on the correlation coefficients is established, which provides a new research method for bridge health assessment and prediction based on bridge health monitoring system