Influence of turbulence on train noise

Gołębiewski, Roman

doi:10.1016/j.apacoust.2016.06.003

Cited by 3 publications

(2 citation statements)

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“…Besides, it can cause health problems, such as increased blood pressure and heartbeat that are potentially leading workers to suffer from a heart attack and digestive problems [2.3.4]. Roman Golebiewski [5] in his research entitled "Influence of turbulence on train noise" argued that the propagation of outdoor noise is caused by several aspects, including air absorption, wave-front divergence, ground effect, diffraction at obstacles, aerodynamics turbulence, and refraction.…”

Section: Introductionmentioning

confidence: 99%

Aerodynamic Impact Analysis of “Noise Housing” Installation for Railway Wheels

Sugiono,

Rahayudi,

Lustyana

et al. 2024

Advances in Engineering Research

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Train is a mass transportation that can reduce congestion on the big city, but it also has an impact of noise to residential around the railroad tracks. One of the main sources of noise is the collision of the wheels with the railroad tracks, and this can be reduced by noise housings design. The purpose of this paper is to analyse the impact of adding house noising based on aerodynamic perspective, so that a better house noising design is produced. The first step of the research made a 3D model of the existing trains and trains with the addition of noise housing. Computational Fluid Dynamics (CFD) simulation is used to analyse changes in drag force values, lift force, drag force coefficient, and aerodynamic noise. The addition of noise housing on the wheels of the train bogies has an positive impact on reducing the value of aerodynamic train noise. Aerodynamics noise around existing locomotive wheels (far field noise 0.5 m from locomotive, train speed = 80 Km/h) produced an average noise of 15.19 dB, it reduced to 12.35 dB for train innovation using noise housing. The final noise housing design also improved the drag force coefficient from 0.95 to 0.78. Overall, the addition of noise housing was also able to improve the aerodynamic performance of the train.

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Section: Introductionmentioning

confidence: 99%

Aerodynamic Impact Analysis of “Noise Housing” Installation for Railway Wheels

Sugiono,

Rahayudi,

Lustyana

et al. 2024

Advances in Engineering Research

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“…Accordingly, studies for the evaluation and reduction of train noise have been conducted continuously. 2–11…”

Section: Introductionmentioning

confidence: 99%

Improving the design of the traction motor of trains to reduce the aerodynamic noise

Kim¹,

Ki²,

Byun³

2019

Proceedings of the Institution of Mechanical Engineers, Part F:

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The traction motor of trains, which is the core equipment in the railway industry, is a major noise source. As the protection of the environment becomes increasingly more important, the regulations regarding acceptable train noise are becoming stricter. Therefore, more studies on the traction motor of trains are required to find a method to reduce the noise. The existing studies on this topic are insufficient because of the high cost of producing prototypes and the absence of an aerodynamic noise analysis scheme with proven reliability. In this study, the noise performance of the traction motor of trains was evaluated using the numerical analysis of the lattice Boltzmann method, and its effect on the design variables of the traction motor was analyzed. To conduct this study, a reliable numerical analysis scheme was established by evaluating the performance of the base model through an experiment and numerical analysis and comparing the two results. In addition, seven major noise sources, including the size of the cooling fan, blade shape, number of blades, slot wedge shape, and clamp shape, were selected by analyzing the result of the numerical analysis of the base model. The effect of each design variable on the performance of the base model was analyzed by assessing the performance of cases that reflect the design modification of the chosen design variables. Based on the result, a complementary design model was designed to reduce noise, and the performance of this model was evaluated using numerical analysis and compared with that of the base model. From the results, it was confirmed that the newly created model produces much lower noise than the base model.

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