An integrated wind risk warning model for urban rail transport in Shanghai, China

Han, Z., Tan, J., Grimmond, C. S. B. ORCID: https://orcid.org/0000-0002-3166-9415, Ma, B., Yang, T. and Weng, C. (2020) An integrated wind risk warning model for urban rail transport in Shanghai, China. Atmosphere, 11 (1). 53. ISSN 2073-4433 doi: 10.3390/atmos11010053

Abstract/Summary

The integrated wind risk warning model for rail transport presented has four elements: Background wind data, a wind field model, a vulnerability model, and a risk model. Background wind data uses observations in this study. Using the wind field model with effective surface roughness lengths, the background wind data are interpolated to a 30-m resolution grid. In the vulnerability model, the aerodynamic characteristics of railway vehicles are analyzed with CFD (Computational Fluid Dynamics) modelling. In the risk model, the maximum value of three aerodynamic forces is used as the criteria to evaluate rail safety and to quantify the risk level under extremely windy weather. The full model is tested for the Shanghai Metro Line 16 using wind conditions during Typhoon Chan-hom. The proposed approach enables quick quantification of real- time safety risk levels during typhoon landfall, providing sophisticated warning information for rail vehicle operation safety.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/88347
Identification Number/DOI	10.3390/atmos11010053
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	MDPI
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