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Structural Engineering and Mechanics
  Volume 49, Number 2, January25 2014, pages 203-223
DOI: http://dx.doi.org/10.12989/sem.2014.49.2.203
 


Vehicle-bridge coupling vibration analysis based fatigue reliability prediction of prestressed concrete highway bridges
Jinsong Zhu, Cheng Chen and Qinghua Han

 
Abstract
    The extensive use of prestressed reinforced concrete (PSC) highway bridges in marine environment drastically increases the sensitivity to both fatigue- and corrosion-induced damage of their critical structural components during their service lives. Within this scenario, an integrated method that is capable of evaluating the fatigue reliability, identifying a condition-based maintenance, and predicting the remaining service life of its critical components is therefore needed. To accomplish this goal, a procedure for fatigue reliability prediction of PSC highway bridges is proposed in the present study. Vehicle-bridge coupling vibration analysis is performed for obtaining the equivalent moment ranges of critical section of bridges under typical fatigue truck models. Three-dimensional nonlinear mathematical models of fatigue trucks are simplified as an eleven-degree-of-freedom system. Road surface roughness is simulated as zero-mean stationary Gaussian random processes using the trigonometric series method. The time-dependent stress-concentration factors of reinforcing bars and prestressing tendons are accounted for more accurate stress ranges determination. The limit state functions are constructed according to the Miner\'s linear damage rule, the time-dependent S-N curves of prestressing tendons and the site-specific stress cycle prediction. The effectiveness of the methodology framework is demonstrated to a T-type simple supported multi-girder bridge for fatigue reliability evaluation.
 
Key Words
    corrosion-fatigue;vehicle-bridge coupling vibration;reliability assessment;prestressed reinforced concrete bridge
 
Address
Jinsong Zhu: Key Laboratory of Coast Civil Structure Safety, Ministry of Education, Tianjin University, Tianjin 300072, People\'s Republic of China; School of Engineering, San Francisco State University, San Francisco, CA 94132, USA
Cheng Chen: School of Engineering, San Francisco State University, San Francisco, CA 94132, USA
Qinghua Han: 3School of Civil Engineering, Tianjin University, Tianjin 300072, People\'s Republic of China
 

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