基于孔结构参数的掺CWCPM混凝土抗压强度预测模型的建立

doi:10.11896/cldb.18040075

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Abstract In order to improve the activity of waste brick, compounded it with fly ash, mineral powder and alkali-activator to form the construction waste composite powder materials (CWCPM). For further study the feasibility of CWCPM as concrete admixture, studied the pore structure of differe-nt concretes mixed with CWCPM by the method of mercury injection, analyzed the relationship between compressive strength of the concrete and pore parameters, pore size distribution, set up compressive strength-pore structure prediction model through multiple regression by considering the pore parameters and pore size distribution. Results show that CWCPM reduces 7 d compressive strength of the specimen; when its dosage is less than 30%, the 28 d compressive strength is higher than that of the control specimen; the greater total pore area and the smaller total pore volume, average pore diameter and porosity indicate higher strength value; the compressive strength shows a negative correlation with the number of capillary pore and large pore, and has no obvious relation with the number of gel pore and transition pore; the compressive strength-pore structure model which considers the pore parameters and pore size distribution can accurately predict the compressive strength of concrete mixing with CWCPM.

Key words： construction waste composite powder materials mechanical property pore structure multiple regression prediction model

Published: 28 April 2019

CLC number:

TU528.2

Fund:This work was financially supported by the Ministry of Transport Western Project (2013318J16490), Special Funds for Basic Research Business Fees in Central Universities (310821165012).

About author:: Cuizhen Xue, received her Ph.D. degree in December 2017 from Chang'an University. She is currently an lecturer in Lanzhou University of Technology and her research interests are the durability of cement base, cement concrete materials and recycling of construction.; Aiqin Shen, a professor and doctoral supervisor of Chang'an University. Focusing on the research of structure and properties of road engineering materials, high performance technology of cement concrete for road and bridge, modification and development of new environment-friendly pavement materials and the application technology of industrial and construction waste in roadbed and pavement engineering. She has published over 120 articles on important domestic and foreign journals and obtained over 30 national authorized patents.

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Cite this article:

XUE Cuizhen,SHEN Aiqin,GUO Yinchuan. Prediction Model for the Compressive Strength of Concrete Mixed with CWCPM Based on Pore Structure Parameters[J]. Materials Reports, 2019, 33(8): 1348-1353.

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http://www.mater-rep.com/EN/10.11896/cldb.18040075 OR http://www.mater-rep.com/EN/Y2019/V33/I8/1348

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