Technical Papers
Jan 19, 2016

Fatigue Life Assessment of Traffic-Signal Support Structures from an Analytical Approach and Long-Term Vibration Monitoring Data

Publication: Journal of Structural Engineering
Volume 142, Issue 6

Abstract

Wind-induced, large-amplitude vibrations of traffic-signal support structures are frequently observed. Such vibrations can result in a large number of stress cycles and substantial fatigue damage. This paper presents the characteristics of wind-induced vibration of a traffic-signal support structure observed in a long-term, full-scale measurement project, which are used as a basis to understand the vibration generation mechanism. Based on the measured structural response, conditional on mean wind speed, wind direction, and turbulence intensity, the fatigue damage is evaluated using a closed-form spectral method with consideration of narrowband, non-Gaussian response characteristics. The uncertainty in the structural response under given wind conditions is quantified and included in the fatigue damage evaluation. The effectiveness and accuracy of the proposed approach are illustrated by comparing the results of the spectral method with that from the time-domain rainflow counting method based on the long-term stress time histories. The core parameters that influence the fatigue damage analysis and fatigue life prediction of traffic-signal support structures are also examined through a parametric study.

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Acknowledgments

The financial support provided in part by National Science Foundation Grant No. CMMI-1536108 and Texas Department of Transportation project 0-6649 is greatly acknowledged.

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Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 142Issue 6June 2016

History

Received: May 8, 2015
Accepted: Nov 17, 2015
Published online: Jan 19, 2016
Published in print: Jun 1, 2016
Discussion open until: Jun 19, 2016

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Authors

Affiliations

Jie Ding, S.M.ASCE [email protected]
Instructor, Dept. of Civil, Environmental, and Construction Engineering, National Wind Institute, Texas Tech Univ., Lubbock, TX 79409. E-mail: [email protected]
Xinzhong Chen, M.ASCE [email protected]
Professor, Dept. of Civil, Environmental, and Construction Engineering, National Wind Institute, Texas Tech Univ., Lubbock, TX 79409 (corresponding author). E-mail: [email protected]
Delong Zuo, M.ASCE [email protected]
Associate Professor, Dept. of Civil, Environmental, and Construction Engineering, National Wind Institute, Texas Tech Univ., Lubbock, TX 79409. E-mail: [email protected]
Jieying Hua, S.M.ASCE [email protected]
Ph.D. Candidate, National Wind Institute, Dept. of Civil, Environmental, and Construction Engineering, Texas Tech Univ., Lubbock, TX 79409. E-mail: [email protected]

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