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

Author:

Zhou Shuang-Xi1,Li Jian-Xin1,Bao Shu-Feng1,Ding Yang2ORCID,Wei Yong-Qi3,She An-Ming3ORCID,Guo Zhen-Zhen4,Dong Jing-Liang4

Affiliation:

1. School of Civil and Engineering Management, Guangzhou Maritime University, Guangzhou 510725, China

2. Department of Civil Engineering, Hangzhou City University, Hangzhou 310015, China

3. School of Materials Science and Engineering, Tongji University, Shanghai 201804, China

4. School of Civil Engineering and Architecture, East China Jiao Tong University, Nanchang 330013, China

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.

Funder

Natural Science Foundation of China

Academic and technical leaders of major disciplines in Jiangxi Province

Publisher

MDPI AG

Subject

General Materials Science

Reference50 articles.

1. Data set from wind, temperature, humidity and cable acceleration monitoring of the Jiashao bridge;Ding;J. Civ. Struct. Health Monit.,2023

2. Wind load assessment with the JPDF of wind speed and direction based on SHM data;Ding;Structures,2023

3. A multi-step direct and indirect strategy for predicting wind direction based on EMD-LSTM model;Ding;Struct. Control Health Monit.,2023

4. Settlement prediction of existing metro induced by new metro construction with machine learning based on SHM data: A comparative study;Ding;J. Civ. Struct. Health Monit.,2023

5. Probabilistic method for wind speed prediction and statistics distribution inference based on SHM data-driven;Ding;Probabilistic Eng. Mech.,2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3