The Integrated Development Of Bridge Health Monitoring Data Analysis Software And Algorithm Anti-noise Performance Study

For health monitoring of the bridge, the foundation is the structure analysis, the modal parameter identification is the key, and the damage identification is the core. For the three key problems of bridge health monitoring, this main research content of this article is as follows:This thesis simply introduces the basic theories of structural analysis, deeply dissect the noise source and generating mechanism of bridge health monitoring system, classify noise and explore the numerical simulation method of noise of different generating mechanism, and work out structural analysis program, which lay the foundation for the subsequent modal identification, damage detection, and exploring the error propagation of health monitoring of noise in the modal identification and damage identification.With modern time-frequency analysis technology as a breakthrough point, introduced two kinds of time-frequency analysis technique, the basic principle of(WT, HHT) based on the frequency domain at the time of the two kinds of modal identification algorithm based on WT(modal identification algorithm, based on the HHT modal identification algorithm) carried on the thorough discussion, two algorithms are introduced in detail the identification process and the key problems of processing method, the modal identification program, and through the two springs quality system(Kabes’ 6 degrees of freedom and Kabes’ 8 degrees of freedom) numerical simulation example verifies the correctness of the applicability of the algorithm and program, and the stochastic subspace method with the traditional time domain algorithms were compared.Based on above, this article simply introduces traditional structural damage detection method based on modal parameters and makes a simple comment on method based on modal parameters. In this article, there is a detailed introduction of fundamental theory and identifying steps of damage detection method in combination with wavelet transform and curvature mode, and works out the damage identification program.Take MATLAB and SQL server database as platform, summarizing the structure analysis mentioned above, modal identification, and damage identification program, so as to make integrated development for monitoring data analysis integration software of bridge health system under real-time operation. The software covers the function of the structure analysis, sensor optimization, modal identification and damage identification of the entire ecological chain of health monitoring data analysis. Compared with conventional commercial software, it has some distinctive function of real-time online operation, parameter testing.Finally, This thesis using the integrated development of numerical simulation software platform was carried out on a cable-stayed bridge, and by using the time-frequency domain is used to identify the modal of the two algorithms, and compared the accuracy of modal identification under different noise levels, the recognition results are applied to damage identification, comparing the anti-noise performance of three kinds of damage index, verification in this thesis, the development of integrated software reliability and applicability, is expected to play an important role in the bridge structural health monitoring system.