Evidence map›Paper›PMID 37763617›Full record

ArticleMaterials (Basel, Switzerland)2023

Evolution Law of Structural Form and Heat Transfer Performance of Thermal Insulation System.

Shuang-Xi Zhou, Jian-Xin Li, Shu-Feng Bao, Yang Ding, Yong-Qi Wei, An-Ming She, Zhen-Zhen Guo, Jing-Liang Dong

Abstract read
In one paragraph

Article in Materials (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

8 authors.

Shuang-Xi ZhouSchool of Civil and Engineering Management, Guangzhou Maritime University, Guangzhou 510725, China.
Jian-Xin LiSchool of Civil and Engineering Management, Guangzhou Maritime University, Guangzhou 510725, China.
Shu-Feng BaoSchool of Civil and Engineering Management, Guangzhou Maritime University, Guangzhou 510725, China.
Yang DingDepartment of Civil Engineering, Hangzhou City University, Hangzhou 310015, China.ORCID 0000-0002-1298-1710
Yong-Qi WeiSchool of Materials Science and Engineering, Tongji University, Shanghai 201804, China.
An-Ming SheSchool of Materials Science and Engineering, Tongji University, Shanghai 201804, China.ORCID 0000-0001-8570-5955
Zhen-Zhen GuoSchool of Civil Engineering and Architecture, East China Jiao Tong University, Nanchang 330013, China.
Jing-Liang DongSchool of Civil Engineering and Architecture, East China Jiao Tong University, Nanchang 330013, China.

Funding

Academic and technical leaders of major disciplines in Jiangxi Province 20213BCJL22039Educational Science Planning Project of Zhejiang Province 2023SCG222Guangdong Province Key Construction Discipline Research Capacity Enhancement Project 2022ZDJS095Natural Science Foundation of China 52163034 and 51968022Scientific Research Project of Zhejiang Provincial Department of Education Y202248682
6 · The paper itself

Abstract

Building thermal insulation and energy conservation have become urgent problems in the field of civil engineering because they are important for achieving the goal of carbon neutralization. Thermal conductivity is an important index for evaluating the thermal insulation of materials. To study the influence of different porosity levels on the thermal conductivity of materials, this paper established a random distribution model using MATLAB and conducted a comparative analysis using COMSOL finite element software and classical theoretical numerical calculation formulas. The thermal conductivity of composite materials was determined based on a theoretical calculation formula and COMSOL software simulations, and the theoretical calculation results and simulation results were compared with the measured thermal conductivity of the composites. Furthermore, the influence of the width of the gaps between the materials on the heat transfer process was simulated in the fabricated roof structure. The results showed the following: (1) The thermal conductivity values calculated using the Zimmerman model were quite different from those calculated using the Campbell-Allen model and those calculated using the COMSOL software; (2) The thermal conductivity values calculated using the theoretical calculation formula were lower than the measured data, and the maximum relative error was more than 29%. The COMSOL simulation results were in good agreement with the measured data, and the relative error was less than 5%; (3) When the gap width was less than 60 mm, it increased linearly with the heat transfer coefficient. The heat transfer coefficient increased slowly when the gap width was greater than 60 mm. This was mainly due to the thermal bridge effect inside the insulation system. Based on these research results, a thermal insulation system was prepared in a factory.

Indexed as

COMSOL finite element simulationinsulation systemnumerical calculation of thermal conductivitystructural formthermal conductivity experiment

Identifiers

PMID37763617
PMCPMC10533161

What OpenQuestion holds

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LicenceCC BY
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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.