自动弯沉仪检测数据的正态性检验与分析

国内现行规范关于弯沉检测数据的处理及评定均以弯沉检测数据呈正态分布为前提。通过偏峰度检验法和统计分析软件SPSS对自动弯沉仪检测数据的正态分布检验,表明检测数据仅接近于而非完全正态化,而通常的异常值剔除法亦不能使弯沉检测数据正态化,说明现行弯沉检测数据的处理和评定存在一定的偏差,应在现有基础上探寻更合理的弯沉测值处理及评价方法。

Normality Test and Analysis on Detection Data of Automatic Pavement Deflector

The treatment and assessment of defection detection data have been based on the assumption about normality in current rules. Normality test on detection data of automatic pavement deflector has been done by skewness kurtosis and SPSS. Studies show that the detection data of automatic pavement deflector is only close and uncompletely subordinated to normal distribution. And the usual method of abnormal data rejecting can not make the data normalizing. So there is some error in the current treatment and assessment of defection detection data, and more reasonable method should be explored based on the existing foundation.