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    Estimation of Fatigue Parameters and Life Prediction for Orthotropic Steel Deck Based on Reverse Markov Theory

    Source: Journal of Structural Engineering:;2025:;Volume ( 151 ):;issue: 005::page 04025037-1
    Author:
    Jian Guo
    ,
    Xiongwei Zhang
    ,
    Yuhao Cui
    DOI: 10.1061/JSENDH.STENG-14073
    Publisher: American Society of Civil Engineers
    Abstract: Orthotropic steel deck (OSD) is a widely used lightweight steel structure known for its high load-bearing capacity. However, it is susceptible to cracking, particularly in locations that exhibit structural degradation. In this paper, the reverse Markov method is adopted to identify material parameters and predict the fatigue life of rib-to-rib welds with longitudinal rib-embedded segments in OSD. The structural damage is categorized into five states based on the crack depth, and its state probability distribution and state transfer probability matrix are determined by combining the crack characteristics and service life. This enables the prediction of the crack propagation process during the service life. Then the material parameters C and m can be calculated by substituting the annual crack growth into Paris’ law and combining it with the S-N curve. To illustrate the application of the method, a case study was conducted on the steel box girder of the Xihoumen Bridge. The results indicate that parameter C follows a lognormal distribution with a mean value of 1.90×10−9  MPa−3·m−1/2, while parameter m is determined as 3. Compared with the S-N curve obtained from the test, the calculated S-N curve indicates a fatigue life of approximately 43 years for the welding detail, which aligns much better with the actual performance.
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      Estimation of Fatigue Parameters and Life Prediction for Orthotropic Steel Deck Based on Reverse Markov Theory

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4306761
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    • Journal of Structural Engineering

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    contributor authorJian Guo
    contributor authorXiongwei Zhang
    contributor authorYuhao Cui
    date accessioned2025-08-17T22:19:15Z
    date available2025-08-17T22:19:15Z
    date copyright5/1/2025 12:00:00 AM
    date issued2025
    identifier otherJSENDH.STENG-14073.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4306761
    description abstractOrthotropic steel deck (OSD) is a widely used lightweight steel structure known for its high load-bearing capacity. However, it is susceptible to cracking, particularly in locations that exhibit structural degradation. In this paper, the reverse Markov method is adopted to identify material parameters and predict the fatigue life of rib-to-rib welds with longitudinal rib-embedded segments in OSD. The structural damage is categorized into five states based on the crack depth, and its state probability distribution and state transfer probability matrix are determined by combining the crack characteristics and service life. This enables the prediction of the crack propagation process during the service life. Then the material parameters C and m can be calculated by substituting the annual crack growth into Paris’ law and combining it with the S-N curve. To illustrate the application of the method, a case study was conducted on the steel box girder of the Xihoumen Bridge. The results indicate that parameter C follows a lognormal distribution with a mean value of 1.90×10−9  MPa−3·m−1/2, while parameter m is determined as 3. Compared with the S-N curve obtained from the test, the calculated S-N curve indicates a fatigue life of approximately 43 years for the welding detail, which aligns much better with the actual performance.
    publisherAmerican Society of Civil Engineers
    titleEstimation of Fatigue Parameters and Life Prediction for Orthotropic Steel Deck Based on Reverse Markov Theory
    typeJournal Article
    journal volume151
    journal issue5
    journal titleJournal of Structural Engineering
    identifier doi10.1061/JSENDH.STENG-14073
    journal fristpage04025037-1
    journal lastpage04025037-9
    page9
    treeJournal of Structural Engineering:;2025:;Volume ( 151 ):;issue: 005
    contenttypeFulltext
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