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Field test and numerical reconstitution of natural winds at the tunnel entrance section of high-speed railway

Weichao Yang (School of Civil Engineering, Central South University, Changsha, China)
Yikang Liu (School of Civil Engineering, Central South University, Changsha, China)
E. Deng (Department of Civil and Environment Engineering, The Hong Kong Polytechnic University, Hong Kong, China)
Youwu Wang (Department of Civil and Environment Engineering, The Hong Kong Polytechnic University, Hong Kong, China)
Xuhui He (School of Civil Engineering, Central South University, Changsha, China)
Mingfeng Lei (School of Civil Engineering, Central South University, Changsha, China)
Yunfeng Zou (School of Civil Engineering, Central South University, Changsha, China)

International Journal of Numerical Methods for Heat & Fluid Flow

ISSN: 0961-5539

Article publication date: 10 August 2022

Issue publication date: 5 January 2023

240

Abstract

Purpose

The purpose of this paper is to understand the natural wind field characteristics of the tunnel entrance section and analyzing the aerodynamic performance of high-speed railway trains (HSRTs) under natural winds.

Design/methodology/approach

Three typical tunnel entrance section sites, namely, tunnel–bridge in a dry canyon (TBDC), tunnel–bridge in a river canyon (TBRC) and tunnel–flat ground (TF), are selected to conduct a continuous wind field measurement. Based on the measured wind characteristics, the natural winds of the TBDC and TF sites are reconstituted and imported into the two corresponding full-scale computational fluid dynamics models. The aerodynamic loads of the HSRT running on TBDC and TF with reconstituted winds are simply analyzed.

Findings

The von Kármán spectrum can be used to describe the wind field at the tunnel entrance section. In the reconstituted natural wind condition, a time-varying feature of wind speed distribution and leeward side vortex around the HSRT caused by the wind speed fluctuation is found. The fluctuating amplitude of aerodynamic loads at the TBDC infrastructure is up to 97.9% larger than that at the TF infrastructure.

Originality/value

The natural wind characteristics at tunnel entrance sections on the high-speed railway are first measured and analyzed. A numerical reconstitution scheme considering the temporal and spatial variation of natural wind speed is proposed and verified based on field measurement results. The aerodynamic performance of an HSRT under reconstituted natural winds is first investigated.

Keywords

Acknowledgements

This work was funded by the National Natural Science Foundation of China [Grant numbers 51978670 and U1934209], the National Outstanding Youth Science Fund Project of National Natural Science Foundation of China [Grant number 51925808], the Research Grants Council, University Grants Committee of the Hong Kong Special Administrative Region (SAR), China [Grant number R-5020–18], the Innovation and Technology Commission of the Hong Kong SAR Government [Grant number K-BBY1] and The Hong Kong Polytechnic University's Postdoc Matching Fund Scheme [Grant number 1-W21Q].

Declaration of competing interest: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

CRediT authorship contribution statement: Weichao Yang: Conceptualization, Funding acquisition, Writing-review and editing. Yikang Liu: Investigation, Software, Writing-original draft. E Deng: Methodology, Data curation, Writing-review and editing, Supervision. Youwu Wang: Writing-review and editing. Xuhui He: Funding acquisition, Validation, Writing-review and editing. Mingfeng Lei: Resources, Writing-review & editing. Yunfeng Zou: Writing-review and editing.

Citation

Yang, W., Liu, Y., Deng, E., Wang, Y., He, X., Lei, M. and Zou, Y. (2023), "Field test and numerical reconstitution of natural winds at the tunnel entrance section of high-speed railway", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 33 No. 2, pp. 617-647. https://doi.org/10.1108/HFF-06-2022-0381

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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