Study on the aerodynamic performance and noise of windshield area in high-speed trains at a frequency of 38 hz

The noise level of a high-speed train is a crucial indicator of its operational quality. A significant low-frequency interior noise, referred to as '38 Hz' in this context, has been detected during the operation of high-speed trains. This notable noise primarily occurs in the train attendant's cabin near the windshield area. In this study, we conducted a comprehensive full-scale test to investigate the preliminary cause behind this significant '38 Hz' noise. Our investigation reveals that it is associated with aerodynamic noise originating from the windshield area. To identify the root cause of this '38 Hz' noise in the windshield area, we established a computational fluid dynamics (CFD) based model for aerodynamic noise analysis. The causes were found to be related to both the size and opening of the windshield cavity. Simulation results demonstrate that closing the upper opening significantly reduces the volume of '38 Hz' noise compared to the original outer windshield structure design. We verified and validated these findings through an extensive full-scale test, which showed that by implementing our proposed modified windshield structure, there was approximately 7 dB reduction in significant '38 Hz' noise observed within the train attendant's cabin near the windshield area.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2024-10-14
DOI
https://doi.org/10.1038/s41598-024-75355-8
Citations
1
Primary Topic
Aerodynamics and Fluid Dynamics Research
Type
article
Field-Weighted Citation Impact
1.30

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study on the aerodynamic performance and noise of windshield area in high-speed trains at a frequency of 38 hz

Laixian Peng, Jiqiang Niu, Jian Han, Xinbiao Xiao et al.
1 citations
Scientific Reports
Aerodynamics and Fluid Dynamics Research
1.30
article

Study on the aerodynamic performance and noise of windshield area in high-speed trains at a frequency of 38 hz

Laixian Peng, Jiqiang Niu, Jian Han, Xinbiao Xiao, Zongfa Zhang
article en
1 citations

Abstract

The noise level of a high-speed train is a crucial indicator of its operational quality. A significant low-frequency interior noise, referred to as '38 Hz' in this context, has been detected during the operation of high-speed trains. This notable noise primarily occurs in the train attendant's cabin near the windshield area. In this study, we conducted a comprehensive full-scale test to investigate the preliminary cause behind this significant '38 Hz' noise. Our investigation reveals that it is associated with aerodynamic noise originating from the windshield area. To identify the root cause of this '38 Hz' noise in the windshield area, we established a computational fluid dynamics (CFD) based model for aerodynamic noise analysis. The causes were found to be related to both the size and opening of the windshield cavity. Simulation results demonstrate that closing the upper opening significantly reduces the volume of '38 Hz' noise compared to the original outer windshield structure design. We verified and validated these findings through an extensive full-scale test, which showed that by implementing our proposed modified windshield structure, there was approximately 7 dB reduction in significant '38 Hz' noise observed within the train attendant's cabin near the windshield area.

Scientific ReportsVol. 14(1)
Southwest Jiaotong University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 12%
Aerodynamics and Fluid Dynamics Research
1.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.