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A platform for research: civil engineering, architecture and urbanism
Bridge fatigue life prediction using Mittag–Leffler distribution
This paper is aimed at developing a statistical approach for fatigue life prediction of steel bridges with structural health monitoring data. The present approach obtains the static cumulative damage index by using the Mittag–Leffler distribution in conjunction with the statistical form of Miner's rule and investigates the influence of annual traffic increase on the evolution of the dynamic service life by a modified statistical formula of Miner's rule, which includes the relationship between the levels of stress range and the annual traffic increase rate. The proposed method is exemplified to specifically predict the static fatigue life of the Neville Island Bridge and the dynamic fatigue life of the Birmingham Bridge.
Bridge fatigue life prediction using Mittag–Leffler distribution
This paper is aimed at developing a statistical approach for fatigue life prediction of steel bridges with structural health monitoring data. The present approach obtains the static cumulative damage index by using the Mittag–Leffler distribution in conjunction with the statistical form of Miner's rule and investigates the influence of annual traffic increase on the evolution of the dynamic service life by a modified statistical formula of Miner's rule, which includes the relationship between the levels of stress range and the annual traffic increase rate. The proposed method is exemplified to specifically predict the static fatigue life of the Neville Island Bridge and the dynamic fatigue life of the Birmingham Bridge.
Bridge fatigue life prediction using Mittag–Leffler distribution
Liang, Y.J. (author) / Chen, W. (author)
Fatigue and Fracture of Engineering Materials and Structures ; 37 ; 255-264
2014
10 Seiten
Article (Journal)
English
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