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采用偏度、峰度检验法检验数据分布,利用Pearson相关性分析,多元线性回归分析方法,判断4个高速公路路面质量指标的线性关系.对岩石类型分类,采用典型相关性分析法,建立了影响高速公路路面质量最重要和比较重要因素之间较精确的数学模型.通过合理的假设和简化,借鉴“开普勒猜想”问题,得出不同沙石球体半径与%Gmm(最大)之间的关系.将石料,沥青自由组合,采用秩和检验法检验不同组合对不同指标值的差异程度.
Using skewness and kurtosis test to test the data distribution, Pearson correlation analysis and multivariate linear regression analysis method were used to judge the linear relationship of four highway pavement quality indexes.For the classification of rock types, a typical correlation analysis method was used to establish Affect the expressway pavement quality between the most important and more important factors between the more accurate mathematical model.Through reasonable assumptions and simplifications, drawing on the “Kepler conjecture” problem, come to different gravel ball radius and% Gmm (maximum) The relationship between the stone, asphalt free combination, the use of rank sum test to test the different combinations of different indicators of the degree of difference.