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dc.contributor.authorHaiping Zhang
dc.contributor.authorYang Liu
dc.contributor.authorYang Deng
dc.date.accessioned2022-01-30T21:54:37Z
dc.date.available2022-01-30T21:54:37Z
dc.date.issued8/1/2020 12:00:00 AM
dc.identifier.other%28ASCE%29BE.1943-5592.0001575.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4269041
dc.description.abstractThis study presents a crack propagation stochastic process model for orthotropic steel deck (OSD) based on the structural health monitoring (SHM) data. An inhomogeneous compound Poisson process model, which is integrated into four types of Poisson models, is proposed to describe the daily random traffic flow. The transient analysis was performed by the finite element model (FEM) to turn the vehicle load model into fatigue stress model. The OSD strain measured data and calculated data by the FEM were compared to verify the computational result. Then, the crack propagation model was deduced by combining the stress model and fracture mechanics. Furthermore, the fatigue crack growth rate under different vehicles load sequence and overload vehicles is discussed. The results show that the loading sequence, which is the higher vehicle load in the front of the row, causes more fatigue damage than do the other loading sequences. The crack propagation slowed down under the overloading vehicle, and an overload correction factor is proposed, with value as 0.804 for engineering applications in this study.
dc.publisherASCE
dc.titleFatigue Crack Assessment for Orthotropic Steel Deck Based on Compound Poisson Process
dc.typeJournal Paper
dc.journal.volume25
dc.journal.issue8
dc.journal.titleJournal of Bridge Engineering
dc.identifier.doi10.1061/(ASCE)BE.1943-5592.0001575
dc.page13
dc.treeJournal of Bridge Engineering:;2020:;Volume ( 025 ):;issue: 008
dc.contenttypeFulltext


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