Combined experimental and theoretical investigation of pore characteristics effect on thermal conductivity of light-weight aggregate concrete including microencapsulated PCM

被引:10
|
作者
Zhu, Lin [1 ,2 ,3 ]
Ding, Weihua [1 ,2 ,3 ]
Dang, Faning [1 ,2 ,3 ]
Sang, Guochen [1 ,2 ,3 ]
Xue, Yi [1 ,2 ,3 ]
Wang, Qiaoyu [1 ,2 ,3 ]
机构
[1] Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg, Xian 710048, Peoples R China
[2] Xian Univ Technol, Sch Civil Engn & Architecture, Xian 710048, Peoples R China
[3] Xian Univ Technol, Shaanxi Key Lab Loess Mech & Engn, Xian 710048, Peoples R China
基金
中国国家自然科学基金;
关键词
MPCM-LWAC; Pore characteristics; ETC; Two-step method; Theoretical model; PHASE-CHANGE MATERIALS; CEMENTITIOUS COMPOSITES; ENERGY STORAGE; REINFORCED-CONCRETE; PERFORMANCE; DAMAGE; MODEL;
D O I
10.1016/j.jmrt.2023.07.226
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Pore characteristics of concrete material have a significant impact on its thermal conductivity, however, very little pays attention to the impact of pore characteristics on thermal conduc-tivity of light-weight aggregate concrete including microencapsulated phase change materials (MPCM-LWAC). In this paper, the experimental investigation was carried out to reveal the thermal conductivity and pore characteristics of LWAC including different MPCM dosage. The quantitative analysis on pore characteristic parameters (Porosity, Flatness, Spherical degree) that were extracted based on stereology theory has proved a clear relationship of pore char-acteristics in regard to MPCM dosage. On the basis of experimental investigation, the theo-retical investigation was performed to establish the theoretical model suitable for the effective thermal conductivity (ETC) of MPCM-LWAC. To consider the impact of pore characteristics on ETC of MPCM-LWAC, two-step method was proposed to improve the common theoretical model. Results shown that the addition of MPCM caused the increasing of porosity of MPCM-LWAC, while little impact on the Flatness and Spherical degree. Regardless of the MPCM dosage embedded into LWAC, the data sets of Flatness and Spherical degree follow the Lognormal Distribution and Normal distribution respectively. The position parameter of Normal distribution was determined as the shape factor in improved H-C model by using retrograde method. The ETC of MPCM-LWAC getting from the improved H-C model were in better agreement with the experimental results. Hence, the improved H-C model was rec-ommended as the theoretical model to predict the ETC of MPCM-LWAC. & COPY; 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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页码:587 / 602
页数:16
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