基于主成分分析的粉煤灰细骨料混凝土最优配合比研究

发布时间：2018-05-26 18:37

本文选题：粉煤灰细骨料混凝土 + 主成分分析　；参考：《混凝土》2017年08期

【摘要】：主成分分析法是利用降维思想将多指标转化为综合指标,简化精准反映系统主要信息。研究以II级粉煤灰等体积替代细骨料拌制的11种配合比的泵送混凝土为基础,为了探求最优的配合比,选取直接影响混凝土新拌性能和硬化强度的6项主要指标,运用主成分分析法,对在0~50%不同粉煤灰替代率下混凝土性能进行综合评价,依据得分排序确定最优替代率。结果表明替代率为25%时,粉煤灰细骨料混凝土性能综合得分最高,性能最优。
[Abstract]:Principal component Analysis (PCA) is to transform multiple indexes into comprehensive indexes by reducing dimensionality, which simplifies and accurately reflects the main information of the system. In order to find out the optimum mix ratio, six main indexes which directly affect the fresh mixing performance and hardening strength of concrete are selected on the basis of 11 kinds of mix ratio of pumping concrete mixed with II grade fly ash in equal volume instead of fine aggregate. By using principal component analysis method, the performance of concrete with different replacement ratio of 50% fly ash was evaluated comprehensively, and the optimal substitution rate was determined according to the ranking of scores. The results show that when the substitution ratio is 25, the comprehensive score of fly ash fine aggregate concrete is the highest and the performance is the best.
【作者单位】：宁夏大学土木与水利工程学院;陕西工业职业技术学院;
【基金】：国家自然科学基金(51568055) 宁夏科技支撑计划项目(2013ZYG30) 宁夏大学研究生创新项目(GIP2017051)
【分类号】：TU528

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