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地聚合物混凝土力学特性的试验与统计研究

Experimental and Statistical Study on Mechanical Characteristics of Geopolymer Concrete.

作者信息

Cui Yifei, Gao Kaikai, Zhang Peng

机构信息

Center for Durability & Sustainability Studies of Shandong Province, Qingdao University of Technology, Qingdao 266033, China.

出版信息

Materials (Basel). 2020 Apr 2;13(7):1651. doi: 10.3390/ma13071651.

Abstract

This paper studies the statistical correlation in mechanical characteristics of class F fly ash based geopolymer concrete (CFGPC). Experimentally measured values of the compressive strength, elastic modulus and indirect tensile strength of CFGPC specimens made from class F fly ash (CFA) were presented and analyzed. The results were compared with those of corresponding ordinary Portland cement concrete (OPCC) using statistical hypothesis tests. Results illustrated that when possessing similar compressive and tensile strength, the elastic modulus for CFGPC is significantly lower than that of OPCC. The corresponding expressions recommended by standards for the case of OPCC is proved to be inaccurate when applied in the case of CFGPC. Statistical regression was used to identify tendencies and correlations within the mechanical characteristics of CFGPC, as well as the empirical equations for predicting tensile strength and elastic modulus of CFGPC from its compressive strength values. In conclusion, CFGPC and OPCC has significant differences in terms of the correlations between mechanical properties. The empirical equations obtained in this study could provide relatively accurate predictions on the mechanical behavior of CFGPC.

摘要

本文研究了F类粉煤灰基地质聚合物混凝土(CFGPC)力学特性中的统计相关性。给出并分析了由F类粉煤灰(CFA)制成的CFGPC试件抗压强度、弹性模量和间接抗拉强度的实验测量值。使用统计假设检验将结果与相应的普通硅酸盐水泥混凝土(OPCC)的结果进行了比较。结果表明,当具有相似的抗压和抗拉强度时,CFGPC的弹性模量明显低于OPCC。事实证明,OPCC标准推荐的相应表达式应用于CFGPC时是不准确的。采用统计回归来确定CFGPC力学特性中的趋势和相关性,以及根据其抗压强度值预测CFGPC抗拉强度和弹性模量的经验方程。总之,CFGPC和OPCC在力学性能相关性方面存在显著差异。本研究中得到的经验方程可以对CFGPC的力学行为提供相对准确的预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d576/7178337/0fed163bf8f1/materials-13-01651-g001.jpg

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