Evidence map›Paper›PMID 36617103›Full record

ArticleSensors (Basel, Switzerland)2023

Analogical Assessment of Train-Induced Vibration and Radiated Noise in a Proposed Theater.

Xiangming Liu, Yuchun Xiao, Huihuang Jiang, Yunlong Guo, Mengwen Yu, Wanzhong Tan

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. 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

6 authors.

Xiangming LiuChina Academy of Railway Sciences Corporation Limited, Beijing 100081, China.ORCID 0000-0003-2879-9996
Yuchun XiaoBureau of Public Works of Shenzhen Municipality, Shenzhen 518042, China.
Huihuang JiangChina Academy of Railway Sciences Corporation Limited, Beijing 100081, China.
Yunlong GuoDepartment of Railway Engineering, Delft University of Technology, 2628CN Delft, The Netherlands.ORCID 0000-0003-4339-1833
Mengwen YuChina Academy of Railway Sciences Corporation Limited, Beijing 100081, China.
Wanzhong TanChina Academy of Railway Sciences (Shenzhen) Research and Design Institute Co., Ltd., Shenzhen 518057, China.

Funding

China Academy of Railway Sciences Corporation Limited 2021YJ166China Academy of Railway Sciences (Shenzhen) Research and Design Institute Co., Ltd. 2021SZ02
6 · The paper itself

Abstract

This study presents the analogical assessment of the train-induced vibration and radiated noise in a proposed theater. The theater is to be constructed in a region with crowded metro lines, and the assessment is implemented in an analogical building with comparable structural type and metro condition. Prior to the assessment, the comparability of the analogical building with the theater is validated using the train-induced ground vibration. With the same horizontal distance from the metro line, the train-induced vibration level in the analogical building is 9 dB higher than that in the construction site of the theater. Such results indicate that the lack of soil layers may lead to a dramatic increase in train-induced vibration in the building. In the staircase of the analogical building, the train-induced radiated noise reached 55 dB (A), which is 10 dB (A) higher than the daytime allowable level. As the most important indicator, the noise rating number in the cinema of the analogical building is

Indexed as

Noise, TransportationRailroadsEnvironmentPhysical Therapy ModalitiesVibrationanalogical assessmentA-weighted sound pressurecondition assessmentnoise rating numberradiated noisetrain-induced vibrationvibration acceleration level

Identifiers

PMID36617103
PMCPMC9824341

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.