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Sensitivity Analysis of Microstructure Parameters and Mechanical Strength during Consolidation of Cemented Paste Backfill

机译：水泥浆回填固结过程中微结构参数和机械强度的敏感性分析

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摘要

Parameter sensitivity is an important part of the quantitative model uncertainty, which helps to effectively identify the key parameters, reduce the uncertainty of the parameters, and then improve the efficiency of parameter optimization. In order to accurately and intuitively analyze the influence of the microscopic parameters and the mechanical response of consolidation process of cemented paste backfill (CPB), a method is used to characterize the geometric and morphological features of the CPB. In this paper, digital image processing technology is used to propose a method for the identification and quantitative analysis of microscopic pore images based on CPB. The pore images on the microscopic scale of CPB are obtained by the microscopic analysis of SEM images, binarization, denoising, and other operations; further, several microscopic parameters are calculated on the pore image, such as the porosity, uniformity coefficient, fractal dimension, probability entropy, and other quantitative parameters, realizing quantitative analysis of pore images. 'I he microstructure of pore images of CPB is extracted under different curing times and then the parameter sensitivity between the microstructure parameters and the mechanical response based on the finite-difference method is analyzed. Set microstructure parameter software of consolidation process of CPB is developed based on this idea, which can be used to identify microscopic pore images and analyze the morphology quantitatively. The microcosmic parameters of CPB with strong sensitivity are uniformity coefficient, average shape coefficient, sorting coefficient, fractal dimension, average length of long axis, average pore area, weighted probability entropy, pore number, and porosity. The sensitivity of the remaining parameters is relatively low. Therefore, the CPB is preferably used in the strength testing process. The method provides a new method for the quantitative analysis of parameter sensitivity on the microscale of CPB.
机译：参数敏感性是定量模型不确定性的重要组成部分，有助于有效地识别关键参数，减少参数的不确定性，进而提高参数优化的效率。为了准确直观地分析微观参数的影响以及固结胶回填（CPB）固结过程的机械响应，使用一种方法来表征CPB的几何和形态特征。本文利用数字图像处理技术提出了一种基于CPB的微观孔图像识别与定量分析方法。通过对SEM图像进行显微镜分析，二值化，去噪和其他操作，可以获得CPB微观尺度上的孔图像。另外，在孔隙图像上计算出几个微观参数，如孔隙率，均匀性系数，分形维数，概率熵等定量参数，从而实现了孔隙图像的定量分析。 '在不同的固化时间下提取CPB的孔图像的微观结构，然后分析基于有限差分法的微观结构参数与机械响应之间的参数敏感性。基于此思想，开发了CPB固结过程的设定微观结构参数软件，可用于识别微观孔图像并定量分析其形貌。具有强敏感性的CPB的微观参数是均匀性系数，平均形状系数，分选系数，分形维数，长轴平均长度，平均孔面积，加权概率熵，孔数和孔隙率。其余参数的灵敏度相对较低。因此，CPB优选用于强度测试过程。该方法为定量分析CPB的参数灵敏度提供了一种新的方法。

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  • 来源
    《Mathematical Problems in Engineering》 |2018年第6期|5170721.1-5170721.9|共9页
  • 作者

    Qin Xuebin; Wang Pai; Liu Lang; Wang Mei; Xin Jie;

  • 作者单位

    Xian Univ Sci & Technol, Sch Elect & Control Engn, 58 Yanta Rd, Xian, Shaanxi, Peoples R China;

    Xian Univ Sci & Technol, Sch Elect & Control Engn, 58 Yanta Rd, Xian, Shaanxi, Peoples R China;

    Xian Univ Sci & Technol, Sch Elect & Control Engn, 58 Yanta Rd, Xian, Shaanxi, Peoples R China;

    Xian Univ Sci & Technol, Sch Elect & Control Engn, 58 Yanta Rd, Xian, Shaanxi, Peoples R China;

    Xian Univ Sci & Technol, Sch Elect & Control Engn, 58 Yanta Rd, Xian, Shaanxi, Peoples R China;

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