Evidence map›Paper›PMID 37896630›Full record

ArticleSensors (Basel, Switzerland)2023

Study on the Characteristics of Trackside Acoustic Flow Field of High-Speed Train under the Influence of Crosswind.

Xing Zhao, Lei Zhang, Lin Li, Qiying Feng

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xing ZhaoCollege of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian 116028, China.ORCID 0000-0002-3654-7134
Lei ZhangCollege of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian 116028, China.
Lin LiCollege of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian 116028, China.ORCID 0000-0002-6249-8866
Qiying FengCollege of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian 116028, China.

Funding

Basic Scientific Research Project Fund of the Education Department of Liaoning Province (LJKMZ20220839) LJKMZ20220839Dalian High-level Talents Innovation Support Program (2021RQ134) 2021RQ134The National Science Foundation of China Youth Science Fund Project (62001079) 62001079
6 · The paper itself

Abstract

During the on-track acoustic detection process, a potential flow model and an acoustic finite element mathematical model based on synthetic wind are utilized, taking into account the combined effects of vehicle speed, wind direction angle, and crosswind speed. Simulation and modeling are achieved using Automatic Matching of Acoustic Radiation Boundary Conditions (AML) technology, enabling obtaining a distribution map and sound pressure frequency response curve of the trackside acoustic field under crosswind conditions by setting up field point grids. It is found that sound pressure values at the same location gradually increase as the vehicle speed increases in the frequency range of 10 Hz to 70 Hz, at different vehicle speeds. The sound pressure values and distribution area of the trackside acoustic field are the largest when the crosswind speed is 10 m/s (wind force at level five), allowing for easier location of the sound source when a fault occurs. The study also reveals that under different wind direction angles, the same location's sound pressure value on the trackside gradually decreases as the wind direction angle increases, to lower than that of the non-crosswind condition, severely hindering the reception and diagnosis of acoustic signals.

Indexed as

acoustic streaming field distributioncrosswindtrackside acoustic detector system

Identifiers

PMID37896630
PMCPMC10610962

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.