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To Identify The Damage Of A Simply Supported Beam Structure Based On Hilbert-Huang Transform

Posted on:2008-07-30Degree:MasterType:Thesis
Country:ChinaCandidate:D ZhaoFull Text:PDF
GTID:2132360212485268Subject:Disaster Prevention
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Bridge's security, applicability and durability have come to people's attention and concern along with the vigorous development of transportation as well as the pace of long-span bridge construction is speeding up day by day. The bridge health monitoring has vital significance in design,construction,operation,the maintenance and management decision,and its society and economic efficiency are remarkable. So bridge structure damage identification research is extremely essential.A new damage identification method is explored on foundation of the present research obtained in damage recognition domain, in view of the flaws in tradition data processing. Basic concepts and the principle Hilbert- Huang transform are detailed in the article; the Hilbert spectrum is used to distinguish a simulated signal sudden change time, the purpose is for studying the structure's damage time and the effect is ideal. The experiment model is established. Experiment simulation is carried on The damage location and degree of a simply supported beam structure which is a single span are identified by cooperating HHT with five parameters(shape factor,crest factor,impulse factor,clearance factor,kurtosis value) in the traditional vibration signal without dimensional. Processes of the experiment are as follow: cross center and nearby the support and 1/4cross are loaded on; the damage types are skid for the support and sections weakened; the excitation include a linear scan and a sine signal whose frequency is determined. In conclusion,it got a better effect.The deficiencies are phenomenon of end wing as well as the theory basis of HHT, all these questions are waited for further solution and research.
Keywords/Search Tags:Health monitoring, Hilbert-Huang Transform, Empirical Mode Decomposition, Hilbert-spectrum, Damage Location, Shape Factor
PDF Full Text Request
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