Technical Papers
Oct 28, 2021

Probabilistic-Based Safety Evaluation of Maryland Sign Structure System Subjected to Wind Effects

Publication: Journal of Performance of Constructed Facilities
Volume 36, Issue 1

Abstract

Performance assessment is important for existing infrastructures because it can effectively help conduct maintenance and keep the structure in good condition. In this study, with the database of sign structures provided by the Maryland State Highway Administration (MDSHA), a probabilistic-based analysis approach, with reliability concept, is developed for the assessment of sign structures for the state of Maryland. This approach uses structural members’ combined stress ratio (CSR) and fatigue stress ranges based on a standard specification as failure criteria. In existing sign structures, the focus is on Type CN2 (planar cantilever sign support), which is the category with the largest proportion of fatigue galloping-sensitive cantilever structures, and Type OH6 (box truss overhead sign support), which is the category with the largest proportion of overhead structures. Eventually, the failure probabilities of CN2 and OH6 groups are obtained, indicating which portion of sign structure is at high risk. Results of this study on sign structures will provide a basis for future inspection and maintenance of the infrastructure system.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions. (The statistical database of sign structures is from Maryland DOT TSIIM system.) Some or all data, models, or code that support findings of this study are available from the corresponding author upon reasonable request (risk ranking results in Tables 5 and 6).

Acknowledgments

The authors gratefully acknowledge the funding support received from the Maryland State Highway Administration (MDSHA) through Federal Highway Administration State Planning and Research (FHWA/SPR) Funds (Sponsor Contract No. SP910B4P).

References

AASHTO. 2013. Standard specifications for structural supports for highway signs, luminaires, and traffic signals. AASHTO LTS-6. Washington, DC: AASHTO.
AASHTO. 2016. LRFD specifications for structural supports for highway signs, luminaires, and traffic signals. AASHTO LRFD LTS-1. Washington, DC: AASHTO.
AISC (American Institute of Steel Construction). 2016. Steel construction manual. 15th ed. Chicago: AISC.
Ayyub, B. M. 2003. Risk analysis in engineering and economics. New York: Chapman & Hall.
Hosch, I. E. 2009. “Design of highway overhead cantilever-type sign support structures for fatigue loads.” Ph.D. dissertation, Dept. of Civil, Construction, and Environmental Engineering, Univ. of Alabama at Birmingham.
Kaczinski, M. R., R. J. Dexter, and J. P. Van Dien. 1998. Fatigue-resistant design of cantilevered signal, sign and light supports. NCHRP Rep. No. Washington, DC: Transportation Research Board.
Li, X., T. M. Whalen, and M. D. Bowman. 2006. Fatigue strength and evaluation of sign structures, Volume 1: Analysis and evaluation. West Lafayette, IN: Joint Transportation Research Program.
Paiva, F. M., and R. C. Barros. 2013. “Comparisons of a cantilever sign support response subjected to natural wind gusts with and without a TMD.” In Proc., 4th ECCOMAS Thematic Conf. on Computation Methods in Structural Dynamics and Earthquake Engineering (COMPDYN2013). Athens, Greece: Scimago.
Zu, G. 2013. “Calibration of fatigue design wind pressure for sign, luminaire, and traffic signal support.” M.S. thesis, Dept. of Civil and Environmental Engineering, Univ. of Western Ontario.

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Go to Journal of Performance of Constructed Facilities
Journal of Performance of Constructed Facilities
Volume 36Issue 1February 2022

History

Received: Apr 27, 2021
Accepted: Sep 22, 2021
Published online: Oct 28, 2021
Published in print: Feb 1, 2022
Discussion open until: Mar 28, 2022

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Authors

Affiliations

Ph.D. Student and Research Assistant, Bridge Engineering Software and Technology (BEST) Center, Dept. of Civil and Environmental Engineering, Univ. of Maryland, 4116 Technology Ventures Bldg., 5000 College Ave., College Park, MD 20740 (corresponding author). Email: [email protected]
Research Professor and Director, Bridge Engineering Software and Technology (BEST) Center, Dept. of Civil and Environmental Engineering, Univ. of Maryland, 4116 Technology Ventures Bldg., 5000 College Ave., College Park, MD 20740. ORCID: https://orcid.org/0000-0003-1792-0068. Email: [email protected]
Research Associate, Bridge Engineering Software and Technology (BEST) Center, Dept. of Civil and Environmental Engineering, Univ. of Maryland, 4116 Technology Ventures Bldg., 5000 College Ave., College Park, MD 20740. Email: [email protected]
Bridge Engineer, PRIME AE Group, Inc., 5521 Research Park Dr., Baltimore, MD 21228. Email: [email protected]
Faramarz Sadeghi-Bajgiran [email protected]
P.E.
Structural Remedial Engineer, Office of Traffic and Safety Division, State Highway Administration, 7491 Connelley Dr., Hanover, MD 21076. Email: [email protected]

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