Evidence map›Paper›PMID 39286487›Full record

ArticleiScience2024

Vibro-acoustic topology optimization for improving the acoustic insulation and mechanical stiffness performance of periodic sandwich structure.

Kui Luo, Jie Hu, Song Yao, Ning Gan, Chenfei Cao, Jiao Xu, Wenkang Cao

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Kui LuoSchool of Mechanical Engineering, Guizhou University, Guiyang 550025, China.
Jie HuSchool of Mechanical Engineering, Guizhou University, Guiyang 550025, China.
Song YaoKey Laboratory of Traffic Safety on the Track of Ministry of Education, School of Traffic & Transportation Engineering, Central South University, Changsha 410075, China.
Ning GanKey Laboratory of Traffic Safety on the Track of Ministry of Education, School of Traffic & Transportation Engineering, Central South University, Changsha 410075, China.
Chenfei CaoSchool of Mechanical Engineering, Guizhou University, Guiyang 550025, China.
Jiao XuSchool of Mechanical Engineering, Guizhou University, Guiyang 550025, China.
Wenkang CaoSchool of Mechanical Engineering, Guizhou University, Guiyang 550025, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The traditional parameter adjustment design makes it difficult to effectively regulate the acoustic insulation performance of periodic sandwich structures while meeting the lightweight and mechanical stiffness requirements. A dynamic three-field floating projection topology optimization (FPTO) method for periodic structures is proposed to meet the optimization requirements of low-noise and high-stiffness performance of lightweight periodic sandwich structures. The sound transmission loss is taken as the optimization objective, and the lightweight volume and mechanical stiffness performance are taken as the multiple constraints. The results show that a smooth topology configuration with superior sound insulation performance, high stiffness, and a freely customizable number of periodic cores can be obtained via the proposed method. The accuracy and effectiveness of the presented method are verified via 3D printing technology and impedance tube sound insulation experiments, providing an important reference for the optimal design of lightweight composite structures for vibration and noise reduction in transportation equipment.

Indexed as

Mechanical engineeringMechanicsPhysics

Identifiers

PMID39286487
PMCPMC11404150

What OpenQuestion holds

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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.