公路边坡病害的土工试验数据拟合及编程

Approximation and program of soil test data in highway slope diseases

针对目前公路工程土工试验数据处理方法的不足,利用数据拟合原理和计算机可视化编程技术,对公路边坡病害研究中的土工试验数据进行分析,给出了多项式线性最小二乘拟合和三次B样条函数拟合两种方法及计算机实现算法。以含水量分布规律为例,对两种方法进行验证。结果表明,两种方法的拟合曲线均较好地逼近原始试验数据折线,三次B样条函数的偏差更小一些,平均绝对值误差比多项式线性最小二乘平均绝对值误差小0.053 9%。

In order to optimize the methods of current test data processing ,this paper analyzed the soil test data by approximation and visual program in the study of the highway slope diseases. It presents the linear least square approximation, cubic B spline approximations and programming algorithms. In order to verify the methods above, the water percentage distribution regularity is analyzed. The results indicate that this method is good and the cubic B spline approximation is better. The mean absolute error of cubic B spline approximation is 0. 053 9 % smaller than of the linear least square approximation. 2 tabs, 2 figs,11 refs.