Evidence map›Paper›PMID 37765795›Full record

ArticleSensors (Basel, Switzerland)2023

An Improved Acoustic Diffusion Equation Model for Long-Channel Underground Spaces.

Chao Mou, Qiliang Yang, Jianchun Xing, Tao Chen, Rongwei Zou

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

5 authors.

Chao MouCollege of Defense Engineering, Army Engineering University of PLA, Nanjing 210001, China.
Qiliang YangCollege of Defense Engineering, Army Engineering University of PLA, Nanjing 210001, China.ORCID 0000-0002-3274-2119
Jianchun XingCollege of Defense Engineering, Army Engineering University of PLA, Nanjing 210001, China.
Tao ChenCollege of Defense Engineering, Army Engineering University of PLA, Nanjing 210001, China.
Rongwei ZouCollege of Defense Engineering, Army Engineering University of PLA, Nanjing 210001, China.

Funding

National Natural Science Foundation of China 52178307
6 · The paper itself

Abstract

The acoustic diffusion equation model has been widely applied in various scenarios, but a larger prediction error exists when applied to underground spaces, showing a significantly lower characteristic of the sound pressure level in the later stage compared to field tests since underground spaces have a more closed acoustic environment. Therefore, we analyze the characteristics of underground spaces differentiating from aboveground spaces when applying the model and propose an improved model from the perspective of energy balance. The energy neglected in the calculation of the acoustic diffusion equation model is compensated in long channel underground spaces named "acoustic escape compensation". A simulation and two field experiments are conducted to verify the effectiveness of the proposed compensation strategy in long-channel underground spaces. The mean square error is used to evaluate the differences between the classical model and the improved model, which shows a numerical improvement of 1.3 in the underground field test. The results show that the improved model is more suitable for describing underground spaces. The proposed strategy provides an effective extension of the acoustic diffusion equation model to solve the problem of sound field prediction and management in underground spaces.

Indexed as

acoustic diffusion equation modelcompensationlong-channel typeunderground space

Identifiers

PMID37765795
PMCPMC10534945

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.