Application of Stochastic Subspace Identification in Bridge Structural Health Monitoring
Date Issued
2012
Date
2012
Author(s)
Chen, Ming-Che
Abstract
In this research application of output-only system identification technique, known as Stochastic Subspace Identification (SSI) algorithms in bridge health monitoring. With the aim of finding accurate modal parameters of the structure in off-line analysis, a stabilization diagram is constructed by plotting the identified poles of the system with increasing the size of data matrix. For the purpose of continuous monitoring, in this study a new technique for updating SVD decomposition: Extended Instrumental Variable version of Projection Approximation Subspace Tracking algorithm (EIV-PAST) is taking charge of the system-related subspace updating task. In the following, the identification task of a real large scale structure: Guan-du bridge, a benchmark problem for structural health monitoring of arch steel bridge is carried out, for which the capacity of Recursive Covariance-driven Stochastic Subspace Identification (RSSI-COV) will be demonstrated. In order to study the influence of loading from environments, consecutive measurement of the dynamic response had been carried out. A sensitivity study of the parameters of SSI is carried out, different parameter conditions such as block row, window length and system order are considered. The introduction of a pre-processing algorithm known as Singular Spectrum Analysis (SSA) can greatly enhance the identification capacity and reduce noise interference. Finally, consider the parameter sensitivity analysis we obtain good identification results, the uncertainty of system dynamic characteristics of the experimental target due to traffic loading and temperature is investigated through nonlinear principal component analysis known as Auto-associative Neural Network (AANN), observed the modal frequencies of the structure change due to environmental changes, as a benchmark for the future to identify the damage detection.
Subjects
Stochastic subspace Identification
Recursive Stochastic Subspace Identification
Guan-du Bridge
System Identification
Sensitivity Analysis
Singular Spectrum Analysis
Auto-associative Neural Network
Type
thesis
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