Method for Detecting Railway Line Sections Exposed to Strong Winds Using Numerical Simulations

Araki, Keiji; Fukuhara, Takaaki; Shimamura, Taisuke; Imai, Toshiaki

doi:10.2219/rtriqr.52.27

Cited by 2 publications

(2 citation statements)

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“…From the above results, it was suggested that the very large turbulence intensity (approximately 57%) obtained from the measured data of Figure 6 was mainly caused by the separated flow originating from the small-scale terrain (at latitude of approximately 180 m) positioned at the upstream site. 25…”

Section: Outline Of Numerical Calculation Techniquementioning

confidence: 99%

“…In tandem, the effectiveness of the application of the computational fluid dynamics approach to railway fields was discussed. e railway industry has also had problems with the strong wind that occurs along railway tracks [22][23][24][25][26][27][28]. More than 50 cases of accidental derailing and rollover caused by strong wind have been recorded in Japan, including one that occurred on the present Tokaido Line in 1889 (Meiji 22).…”

Section: Introductionmentioning

confidence: 99%

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Reproduction of Local Strong Wind Area Induced in the Downstream of Small-Scale Terrain by Computational Fluid Dynamic (CFD) Approach

Uchida

Araki

2019

Modelling and Simulation in Engineering

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In this research, the computational fluid dynamic (CFD) approach was applied for the solution of the problems of local strong wind areas in railway fields, and the mechanism of wind generation was discussed. The problem of local wind occurring on a railway line in winter was taken up in this research. A computational simulation for the prediction of wind conditions by large-eddy simulation (LES) was implemented, and it was clarified that local strong wind areas are mainly caused by separated flows originating from small-scale terrain positioned at its upstream (at approximately 180 m above sea level). Meanwhile, the effects of the size of the calculation area and spatial grid resolution on the result of calculation and the effect of atmospheric stability were also discussed. It was clarified that in order to simulate the air flow characteristic of the separated flow originating from the small-scale terrain (at an altitude of approximately 180 m) targeted in the present research, approximately 10 m of spatial resolution of computational cell in the horizontal direction is required. In addition, the effect of stable stratification on the flow was also examined. As a result, lee waves were excited at the downstream of the terrain over time in the case of stably stratified flow (Fr = 1.0). The reverse-flow region lying behind the terrain, which had been observed at a neutral time, was strongly inhibited. Consequently, a local strong wind area was generated at the downstream of the terrain, and a strong wind area passing through the observation mast was observed. By investigating the increasing rate of speed of the local strong wind area induced at the time of stable stratification, it was found that the wind was approximately 1.2 times stronger than what was generated at a neutral time.

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Section: Outline Of Numerical Calculation Techniquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reproduction of Local Strong Wind Area Induced in the Downstream of Small-Scale Terrain by Computational Fluid Dynamic (CFD) Approach

Uchida

Araki

2019

Modelling and Simulation in Engineering

Self Cite

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Numerical Prediction of Strong Wind Induced by Topographic Effect

Uchida¹

2019

OJFD

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This paper describes the numerical study of nonstratified airflow over a real complex terrain. Attention is focused on the mechanism of a local strong wind induced by a topographic effect. In order to clarify the mechanism of the occurrence of strong winds accompanied by the effects of terrain, the use of a numerical simulation is very effective, in which conditions can be set without the influence of ground roughness and temperature distribution. As a result, airflow converged to a small basin of mountain terrain in the upper stream, and local strong wind was generated leeward along the slope of the mountain terrain. Furthermore, the influence of the reproduction accuracy of geographical features, that is, horizontal grid resolution, was examined. Consequently, to reproduce the above-mentioned local strong wind, it was shown that horizontal grid resolution from 50 m to about 100 m was necessary.

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Method for Detecting Railway Line Sections Exposed to Strong Winds Using Numerical Simulations

Cited by 2 publications

References 1 publication

Reproduction of Local Strong Wind Area Induced in the Downstream of Small-Scale Terrain by Computational Fluid Dynamic (CFD) Approach

Reproduction of Local Strong Wind Area Induced in the Downstream of Small-Scale Terrain by Computational Fluid Dynamic (CFD) Approach

Numerical Prediction of Strong Wind Induced by Topographic Effect

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