Research on Temperature Effect on the Natural Frequencies of Continuous Beams Based on Stochastic Subspace Identification

Cheng Yongchun; Shi Yuping; Tan Guojin

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Research on Temperature Effect on the Natural Frequencies of Continuous Beams Based on Stochastic Subspace Identification

Cheng Yongchun 1 * #,Shi Yuping 2,Tan Guojin 2

1.College of Transportation, Jilin University , ChangChun 130022

2.College of Transportation, Jilin University , Changchun 130022, China

*Correspondence author

#Submitted by

Subject:

Funding: Specialized Research Fund for the Doctoral Program of Higher Education（No.20090061110036）

Opened online:28 January 2013

Accepted by: none

Citation: Cheng Yongchun,Shi Yuping,Tan Guojin.Research on Temperature Effect on the Natural Frequencies of Continuous Beams Based on Stochastic Subspace Identification[OL]. [28 January 2013] http://en.paper.edu.cn/en_releasepaper/content/4515647

Natural frequencies are of great value to bridge structural design, health monitoring and detection. Related research data show that the ambient temperature can affect the natural frequencies of the continuous box-girder bridges. In order to research the effect of temperature on the bridge structure and conclude the influence law, theoretical analysis of temperature effect on the natural frequencies of the continuous box girder bridges is conducted based on the stochastic subspace identification. First, the finite element model of the bridge is built to conduct thermal-structural coupling analysis. Then regard the analysis results as the original state, and exert white noise excitation on the structure to obtain the dynamic response of the structure. And then analyze the dynamic response based on the stochastic subspace identification and calculate the natural frequencies of the bridges under the temperature effect. At last, based on the practical project of one 3-span continuous box-girder bridge, the validity and the reliability of this method is verified.

Keywords:continuous box-girder bridges; temperature; natural frequencies; stochastic subspace identification

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