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Development Of The Structural Health Monitoring System Based On Virtual Instrument Technology

Posted on:2009-12-15Degree:MasterType:Thesis
Country:ChinaCandidate:D W GaoFull Text:PDF
GTID:2132360278453565Subject:Disaster Prevention
Abstract/Summary:PDF Full Text Request
The service time of large civil engineering structures usually stretches out to decades, even centuries. During the service time, the environmental corrosion, material aging, fatigue, impact and the coupling effects with longtime loads and mutational loads would inevitably induce damage accumulations and performance degenerations and reduce the resisting capacity of the civil engineering structures against the disaster, even normal condition. Catastrophic emergency which would result in oppressive social influence may be induced in extreme condition.The real-time structure health monitoring would implement damage detection, security evaluation and capability forecast betimes so that it is sufficiently significant to improve the engineering structure and protect people's lives and property. Structure health monitoring system (SHMS) can acquire the signals of the structure, identify the damage location and degree with damage detection arithmetic, evaluate the security of the structure, forecast the resisting capability and warn of emergency in advance. The health monitoring system of civil engineering structures is an active research in recent years, which relates to various areas, such as data acquisition system, signal processing, structure analysis, et al. The thesis focuses on some key technologies of structure health monitoring system design and integration are devoted to the main effects:(1) An optic fiber Bragg grating sensors and traditional electrical sensors synchronous data acquisition system is developed based on the platform of LabVIEW and hardware of Si425 Optical Sensing Interrogator, NI PXI-1044 14-Slot 3U Chassis and SCXI-1314 module. The signals acquired by this system are transmitted by TCP/IP protocol.(2) A data processing, analyze and damage diagnosis system is developed through mixed programming of LabVIEW and MATLAB. The powerful wavelet toolbox of MATLAB was used for noise reduction and damage diagnosis. The auto power spectrum, cross correlation and autocorrelation are computed in this system.(3) A data management system based on SQL Server 2000 is built. The Database Connectivity Toolkit of National Instruments is applied to transmit the data between LabVIEW and SQL Server 2000. The data can be stored and queried expediently by this system. (4) The synchronous data acquisition system is applied to a shaking table model test of a double tower building structure. The stabilization of the system and the effectiveness of the damage diagnosis method are confirmed on a two-story steel frame.
Keywords/Search Tags:Civil Engineering Structure, Health Monitoring System, Damage Diagnosis, Wavelet Analysis, Virtual Instrument
PDF Full Text Request
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