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基于图像识别的粉煤灰渗透率计算方法
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Calculation Method of Fly Ash Permeability Based on Image Recognition
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    为提高粉煤灰渗透率计算的准确性,利用显微数码成像技术和专业图像处理技术获取粉煤灰试件中孔隙和颗粒的直径、数量,并绘制得到孔隙和颗粒的频率直方图,通过最小二乘法,拟合得到孔隙指数分布函数和颗粒瑞利分布函数. 将孔隙和颗粒分为3个等级,计算得到其特征粒径,并按从小到大的顺序进行排列. 基于无放回摸球过程,采用Matlab编程模拟孔隙和颗粒在5倍最大颗粒当量圆直径的方格中随机排列,计算得到孔隙的连通率. 在此基础上,推导出考虑孔隙连通率的粉煤灰渗透率公式,与其他文献结果进行了比较和分析,吻合度很好,证明了本文方法的可行性.

    Abstract:

    In order to improve the accuracy of fly ash permeability calculation,firstly,the diameter and number of pores and particles in fly ash specimens are obtained by using microdigital imaging technology and professional image processing technology. Then,the frequency histogram of pore and particle is plotted,and the pore exponential distribution function and particle Rayleigh distribution function are fitted by the least square method. Secondly,the pores and particles are divided into three grades,and their characteristic particle sizes are calculated and arranged in order from small to large. Finally,based on the ball-touch process without dropping back,Matlab programming was used to simulate the random arrangement of pores and particles in a square with a diameter of 5 times the maximum particle equivalent circle,and the connectivity of pores was calculated. On this basis,the formula of fly ash permeability considering the porosity connectivity is derived,which is compared and analyzed with the results of other literatures. The good agreement proves the feasibility of the method in this paper.

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何伟,任孟健,肖尧.基于图像识别的粉煤灰渗透率计算方法[J].湖南大学学报:自然科学版,2020,47(9):144~148

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  • 在线发布日期: 2020-10-14
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