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Smart Structures and Systems
  Volume 20, Number 2, August 2017, pages 139-150
DOI: https://doi.org/10.12989/sss.2017.20.2.139
 


Strain-based structural condition assessment of an instrumented arch bridge using FBG monitoring data
X.W. Ye, Ting-Hua Yi, Y.H. Su1b, T. Liu and B. Chen

 
Abstract
    The structural strain plays a significant role in structural condition assessment of in-service bridges in terms of structural bearing capacity, structural reliability level and entire safety redundancy. Therefore, it has been one of the most important parameters concerned by researchers and engineers engaged in structural health monitoring (SHM) practices. In this paper, an SHM system instrumented on the Jiubao Bridge located in Hangzhou, China is firstly introduced. This system involves nine subsystems and has been continuously operated for five years since 2012. As part of the SHM system, a total of 166 fiber Bragg grating (FBG) strain sensors are installed on the bridge to measure the dynamic strain responses of key structural components. Based on the strain monitoring data acquired in recent two years, the strain-based structural condition assessment of the Jiubao Bridge is carried out. The wavelet multi-resolution algorithm is applied to separate the temperature effect from the raw strain data. The obtained strain data under the normal traffic and wind condition and under the typhoon condition are examined for structural safety evaluation. The structural condition rating of the bridge in accordance with the AASHTO specification for condition evaluation and load and resistance factor rating of highway bridges is performed by use of the processed strain data in combination with finite element analysis. The analysis framework presented in this study can be used as a reference for facilitating the assessment, inspection and maintenance activities of in-service bridges instrumented with long-term SHM system.
 
Key Words
    structural heath monitoring; arch bridge; strain-based structural condition assessment; structural rating; wavelet multi-resolution algorithm; finite element analysis
 
Address
X.W. Ye, Y.H. Su1b, T. Liu and B. Chen: Department of Civil Engineering, Zhejiang University, Hangzhou 310058, China
Ting-Hua Yi: School of Civil Engineering, Dalian University of Technology, Dalian 116023, China
 

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