Identification, generation of autoclaved aerated concrete pore structure and simulation of its influence on thermal conductivity

被引：49

作者：

Chen, Gonglian ^{[1
,2
]}

Li, Fenglan ^{[1
,2
]}

Geng, Jingya ^{[2
]}

Jing, Pengfei ^{[2
]}

Si, Zhengkai ^{[3
]}

机构：

[1] North China Univ Water Resources & Elect Power, Sch Civil Engn & Commun, Huayuan Campus,36 Beihuan Rd, Zhengzhou 450045, Peoples R China

[2] North China Univ Water Resources & Elect Power, Int Joint Res Lab Ecobldg Mat & Engn Henan, Longzihu Campus,136 Jinshui East Rd, Zhengzhou 450046, Peoples R China

[3] Henan Xingan New Bldg Mat CO LTD, Xingyang Natl Elect Ind Pk, Zhengzhou 450000, Peoples R China

来源：

CONSTRUCTION AND BUILDING MATERIALS | 2021年 / 294卷

关键词：

Autoclaved aerated concrete (AAC); Thermal conductivity; Pore structure; Image processing;

D O I：

10.1016/j.conbuildmat.2021.123572

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

The pore structure has great influence on the mechanical properties and thermal conductivity of autoclaved aerated concrete(AAC). In this study, through the binary processing of the surface image of AAC, the pore diameter and number of AAC were obtained. Based on Monte Carlo method, the spherical coordinates of the air pores of AAC were generated by MATLAB software, and then they were imported into ANSYS software for modeling and grid generation. By comparing the pore size distribution and thermal conductivity between the finite element model and AAC product, to some extent, the finite element model in this paper is feasible. By the finite element analysis, the thermal conductivity is inversely proportional to the porosity and directly proportional to the pore diameter. Based on the thermal conductivity prediction model of porous materials, the mathematical models of porosity and thermal conductivity, pore diameter and thermal conductivity of AAC were established. (c) 2021 Elsevier Ltd. All rights reserved.

引用

页数：13

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