Evidence map›Paper›PMID 33559822›Full record

ArticleEnvironmental science and pollution research international2021

Characteristics analysis of near-field and far-field aerodynamic noise around high-speed railway bridge.

Yanmei Cao, Zhe Li, Wei Ji, Meng Ma

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yanmei CaoSchool of Civil Engineering, Beijing Jiaotong University, Beijing, 100044, China.
Zhe LiSchool of Civil Engineering, Beijing Jiaotong University, Beijing, 100044, China. lizworking@163.com.ORCID http://orcid.org/0000-0002-9705-3242
Wei JiSchool of Civil Engineering, Beijing Jiaotong University, Beijing, 100044, China.
Meng MaSchool of Civil Engineering, Beijing Jiaotong University, Beijing, 100044, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aerodynamic noise around the high-speed railway bridge is studied by the train-bridge-flow field numerical model and theory analysis. With the background of the Beijing-Shanghai high-speed railway line in China, based on the broadband noise sources method and acoustic analogy theory, both the intensity characteristics of near-field aerodynamic noise sources of the train and the spatial distribution characteristics of far-field aerodynamic noise around the bridge are analyzed. The results show that there is the largest sound source energy on the nose tip of the high-speed train; the fluctuating pressure between air and train surface contributes the most to aerodynamic noise; along the longitudinal direction of the bridge, the aerodynamic noise energy near the junction of train tail and body is the strongest; along the transverse direction of the bridge, the aerodynamic noise energy decreases gradually with the distance from the centerline of the railway; along the vertical direction, the aerodynamic noise energy is the strongest at a location of 1.2 m above the top surface of the rail; the train speed, train type, and the height variation of the bridge pier can affect the distribution of far-field aerodynamic noise.

Indexed as

NoiseRailroadsBeijingChinaAerodynamic noiseFar-filed noiseHigh-speed railway bridgeInfluence factorsNear-field noiseSpatial distribution

Identifiers

PMID33559822

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.