Technical Papers
Jul 30, 2024

Temperature Calculation Method for Hanger Systems Exposed to Multigrade Vehicle Fires

Publication: Journal of Bridge Engineering
Volume 29, Issue 10

Abstract

Extensive vehicle fires threatening suspension bridges in the last decade have aroused an emerging demand to estimate the fire safety of hanger systems. One of the paramount tasks for evaluating the fire resistance of hangers is to calculate their temperatures. However, as plans always lag behind events, no competent temperature calculation methods are available now for engineers, whether vehicle fire models, thermal boundaries on hanger surfaces, or cross-sectional heat transfer formulations. This paper addresses these three issues and then proposes an integrated framework for assessing the thermal response of hanger systems subjected to vehicle fires. Vehicular fires were classified into five grades, adapted to cars, buses, light goods trucks, medium goods trucks, and tanker trucks, respectively. This hierarchy was validated using 16 full-scale vehicle fire tests in opening or tunnel conditions. An empirical formulation of thermal radiation developed for pool fires was adopted to envelope the heat flux applied by passenger vehicle fires on the hanger surface and was validated using five tests. Radiation from truck fires was constructed using a cuboid solid radiative flame. The spatial heat fluxes surrounding Grade-5 vehicle fires typified by tanker fires were computed using the computational fluid dynamics method validated by two large-scale outdoor trench fires. With these quantitative thermal boundaries on hanger exteriors, the transient temperature across the hanger section was derived using the lumped capacitance method, validated by finite-element models in various scenarios. As a multigrade temperature estimation methodology proposed for hangers subjected to vehicle fires, this method is easy to implement. It can serve in future structural fire design of critical suspension bridges with high exposure risks to vehicle fires.

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Data Availability Statement

All data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This work is supported by the National Natural Science Foundation of China (No. 52308521) and the State Key Laboratory of Disaster Reduction in Civil Engineering of China.

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Journal of Bridge Engineering
Volume 29Issue 10October 2024

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Received: Oct 17, 2023
Accepted: May 14, 2024
Published online: Jul 30, 2024
Published in print: Oct 1, 2024
Discussion open until: Dec 30, 2024

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Postdoctoral Fellow, Dept. of Structural Engineering, Tongji Univ., 1239 Siping Rd., Shanghai 200092, China. ORCID: https://orcid.org/0000-0001-8518-3894.
Guo-Qiang Li [email protected]
Professor, State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji Univ., 1239 Siping Rd., Shanghai 200092, China (corresponding author). Email: [email protected]
Yue Hu
Engineer, Engineering Construction Consulting Branch, State Grid Shanghai Municipal Electric Power Company, 300 Yincheng Rd., Shanghai 200120, China.

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