引用本文: | 尚建丽,赵喜龙,倪勃.基于模糊群子论的建筑石膏硬化体孔结构试验与分析[J].哈尔滨工业大学学报,2014,46(4):110.DOI:10.11918/j.issn.0367-6234.2014.04.019 |
| SHANG Jianli,ZHAO Xilong,NI Bo.Experment and analysis of pore structure of building hardened gypsum based on fuzzy sub-cluster[J].Journal of Harbin Institute of Technology,2014,46(4):110.DOI:10.11918/j.issn.0367-6234.2014.04.019 |
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摘要: |
为了探讨模糊群子论模型在多孔材料中孔结构的评价作用及适用性,针对建筑石膏硬化体孔结构的不确定性,依据模糊群子论特有的多层性、模糊性和最可几性能,分析了其与建筑石膏硬化体孔隙率、孔分布和最可几孔径之间的逻辑关系.采用表观密度方法测定了不同(质量)水膏比下建筑石膏硬化体的孔隙率,采用氮吸附法和压汞法对不同水膏比条件下形成的硬化石膏体,进行孔分布和最可几孔径测试.结果表明:不论用哪种测孔方法,在孔径最可几分布测试的基础上,通过模糊群子论方法,可以获得不同水膏比对应下建筑石膏硬化体中孔径大小竞争参数.对于多孔材料而言,采用模糊群子论模型可对复杂的孔结构进行定性及定量分析,有助于研究多孔材料吸放湿机理与传热传质的作用. |
关键词: 群子论 孔结构 不确定性 最可几孔 竞争参数 |
DOI:10.11918/j.issn.0367-6234.2014.04.019 |
分类号:TU526;TQ177 |
基金项目:国家自然科学基金资助项目(51172176); 陕西省重点科技创新团队项目(2012KCT-11). |
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Experment and analysis of pore structure of building hardened gypsum based on fuzzy sub-cluster |
SHANG Jianli, ZHAO Xilong, NI Bo
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(College of Materials and Mineral Resources, Xi’an University of Architecture and Technology,710055 Xi’an, China)
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Abstract: |
To explore the applicability of modeling on fuzzy sub-cluster in the pore structure of porous materials, aiming at theuncertainty of the pore structure of hardened gypsum,and according to particular property of the fuzzy sub-cluster in the multilayer, fuzziness and most probable pore, the relationship between its and the porosity, pore size distribution and most probable pore for building hardened gypsum are analysed. The porosity of hardened gypsum at different water/gypsum ratio is measured by using bulk density and the pore size distribution and most probable pore of hardened gypsum at different water/gypsum ratio has been experimented by adopting nitrogen adsorption porosimeter and mercury porosimeter respectively. The result shows whatever you use nitrogen adsorption porosimeter or mercury porosimeter, based on test of most probable pore, the competitive parameters about large or small pore size of hardened gypsum at different water/gypsum ratio are obtained by employing fuzzy sub-cluster.For porous materials, complicated pore structure may bequalitative or quantitative analysis by means of fuzzy sub-cluster so that study of the effect porous material on the thermal and moisture transfer. |
Key words: sub-cluster pore structure uncertainty most probable pore competitive parameter |