基于因子分析法的粗集料形态特征综合评价

Comprehensive Evaluation of Morphological Characteristics of Coarse Aggregate Based on Factor Analysis

通过因子分析法对大量粗集料样本进行参数指标数据分析,确定其中主要反映粗集料形状和棱角特征的指标,进一步通过相关性分析,提出粗集料综合形状指标(ASI)和粗集料综合棱角指标(AEAI)。研究结果表明:利用Canny算子和边缘追踪算法可以有效得到粗集料边缘特征;通过因子分析法可以将传统且操作简便的粗集料形态评价指标作为基本参数,提出粗集料形态的综合评价指标;ASI指标值越大,粗集料越接近于球体,指标值越小,粗集料越接近于针片状;AEAI指标值越大,粗集料的棱角性越丰富,指标值越小,粗集料的棱角性越差;粗集料综合形态指标具有较高的合理性和准确性,可以在缺少专用形态评价设备时高效评价粗集料形态。

The parameter indicator data of a large number of coarse aggregate samples were analyzed by factor analysis to determine the indicators which mainly reflect the shape and angular characteristics of coarse aggregate.The aggregate shape index(ASI)and aggregate edges and angularity index(AEAI)are proposed by correlation analysis.The results show that the edge characteristics of coarse aggregate can be effectively obtained by using the Canny operator and the edge tracing algorithm.The traditional and convenient coarse aggregate morphology evaluation index can be used as the basic parameter to propose a comprehensive evaluation index of coarse aggregate morphology through the factor analysis method.The larger the value of ASI indicator,the closer the coarse aggregate is to spheres.The smaller the value of the indicator,the closer the coarse aggregate is to needle-flake aggregates.The larger the value of the AEAI indicator,the richer the angularity of the coarse aggregate is.The smaller the value of the indicator,the worse the angularity of the coarse aggregate is.The comprehensive morphological index of coarse aggregate has high rationality and accuracy,which can be used for efficient evaluation of coarse aggregate morphology when lacking special morphological evaluation equipment.