Regression model for cable tension identification based on vibration method using calibration test: From factory to construction

Cable tension identification based on vibration has been extensively explored for its advantage of implementation convenience. Although basic philosophy of vibration method is easy to understand, the intrinsic complexity due to unknown parameters and complex boundary condition uncertainty often lead unbearable error of tension estimation. This paper proposes a novel regression model for cable tension identification based on vibration method, which could be built via calibration test data in factory and construction on site. The coefficients of the regression model will be identified sequentially from the routine calibration tensioning test. The numerical simulation and verification examples are performed. It is proven by the results of the experiment that the proposed method is sutiable for any unknown boundary conditions and therefore has a prospect value for engineering.