Fully Automatic Bridge Modal Parameter Identification Based on Interpretation of Stabilization Diagram
Automatic modal identification is an important issue in bridge health monitoring,and the existing automatic modal identification method either requires manual intervention or can fail in situations in which few sensors are deployed.To overcome these limitations,a fully automatic modal identification method based on automatic interpretation of the stabilization diagram is proposed.First,an index,the modal similarity criterion(MSC),is proposed to solve the limitation of the traditional modal assurance criterion in discriminating modes in situations where few sensors are deployed.Subsequently,a new stabilization diagram clearance method is proposed to remove the spurious modes in the stabilization diagram.In addition,an automatic stabilization diagram interpretation method based on an improved hierarchical clustering method is proposed to interpret the stabilization diagram to separate the modes into several clusters.The proposed index and method were applied to a cable-stayed bridge and a continuously supported steel truss bridge to validate the feasibility and novelty of the proposed method.The results indicate that even in situations where few sensors are deployed and the spatial aliasing phenomenon occurs,the proposed MSC can distinguish different modes successfully.The proposed automatic stabilization diagram clearance and interpretation method can remove spurious modes and produce accurate identification results,even for closely spaced modes with spatial aliasing.The proposed method can be applied to structures with any rigidity and sensor deployment situation;therefore,it can be used for cluster monitoring of sea-crossing bridges.
NETL
NSTL
万方数据
维普
