Stepwise regression modeling for compressive strength of alkali-activated concrete
Stepwise regression modeling for compressive strength of alkali-activated concrete
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DOI：
10.1016/j.conbuildmat.2017.03.006
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发表时间：
2017-06
影响因子：
7.4
通讯作者：
R. Thomas;S. Peethamparan
中科院分区：
文献类型：
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作者：
R. Thomas;S. Peethamparan
本文介绍了碱激发混凝土抗压强度的参数试验研究结果。研究了养护条件(湿养护与热养护)、氧化钠掺量、硅粉掺量、硅石模数(硅胶与钠的相对掺量)、液胶比、自由水胶比等因素对水玻璃激发的粉煤灰和矿渣水泥混凝土抗压强度的影响。测试了5000多个试件，676个独特的混合物比例和养护条件组合。每个参数的边际化效应表明其影响类似于先前研究确定的那些影响。通过逐步回归分析，建立了混凝土抗压强度的逐步回归预测模型。虽然本文提出的具体模型仅适用于本文所确定的材料和激发剂，但建模过程是泛化的，其结果对于碱激发混凝土混合料的设计无疑是有用的。
This paper presents the results from a parametric experimental investigation of the compressive strength of alkali-activated concrete. The effects of curing condition (moist-cured versus heat-cured), sodium oxide dosage, silica dosage, silica modulus (relative dosage of silica to sodium), solution/binder ratio, and free water/binder ratio on the compressive strength of sodium silicate-activated fly ash and slag cement concrete are evaluated. More than 5000 specimens with 676 unique combinations of mixture proportion and curing condition were tested. The marginalized effects of each parameter indicate effects similar to those identified by previous studies. Predictive models for the compressive strength of fly ash and slag cement-based concretes are developed by stepwise regression analysis. Although the specific models presented in this paper are applicable only for the materials and activators identified herein, the modeling procedures are generalized results are of doubtless utility for the design of alkali-activated concrete mixtures.