Technical Papers
Jun 5, 2020

Fatigue Crack Assessment for Orthotropic Steel Deck Based on Compound Poisson Process

Publication: Journal of Bridge Engineering
Volume 25, Issue 8

Abstract

This 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.

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Acknowledgments

This research project was supported by the Natural Science Foundation of China (51878027, 51908068, 51808212), Hunan Transportation Infrastructure Security Risk Management Industry Key Laboratory (18KF02), Hunan University of Technology Graduate College (JTG1809) and General Project of Beijing Municipal Education Commission (KM201910016013).

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Information & Authors

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Published In

Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 25Issue 8August 2020

History

Received: Apr 29, 2019
Accepted: Feb 6, 2020
Published online: Jun 5, 2020
Published in print: Aug 1, 2020
Discussion open until: Nov 5, 2020

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Authors

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Haiping Zhang, Ph.D.
Dept. School of Civil Engineering, Hunan Univ. of Technology, Zhuzhou 412007, China
Yang Liu, Ph.D.
Professor, Dept. School of Civil Engineering, Hunan Univ. of Technology, Zhuzhou 412007, China
Yang Deng, Ph.D. [email protected]
Professor, Dept. Beijing Advanced Innovation Center for Future Urban Design, Beijjng Univ. of Civil Engineering and Architecture, Beijing 100044, China (corresponding author). Email: [email protected]

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