水泥道面调查单元划分及病害程度对PCI的影响

Effect of Unit Dividing and Distress Severity on PCI Accuracy for Cement Concrete Pavement

摘要:

介绍了水泥混凝土道面损坏状况调查与评价方法,以390个水泥混凝土道面标准调查单元的现场数据为基础,通过变化单元划分方法及病害程度等级,统计分析了单元尺寸、形状特征以及病害程度人工识别误差对道面状况指数(PCI)精度的影响,结果表明:单元尺寸对PCI值影响较小,单元板块数在20±5范围内较合理,此时PCI计算结果误差约为1点;单元形状的不同将导致PCI出现明显偏差,因此,道面分区不可随意更改,相对而言,采用横向单元调查得到的道面PCI值较低,但偏于安全;单项主导损坏程度等级识别偏差对PCI值的影响不显著,误差小于2点,若调查单元中出现的所有病害的程度等级识别均出现偏差,则道面PCI误差可达到10点左右.

Abstract:

Airport cement concrete pavement condition survey and evaluation procedure was introduced,and the effect of sample unit size,shape and distress severity on pavement condition index (PCI) accuracy was investigated by altering inspection unit size and shape and distress degree based on field data collected from 390 standard inspection units.The results show that sample unit size has little effect on PCI accuracy,and as long as the unit size is within 20±5 slabs,the error is about 1 point.Altering unit shape leads to significant difference of section PCI value,therefore units dividing cannot be altered arbitrarily.PCI value calculated by horizontal units is lower relatively,but it is more conservative for management.The effect of severity deviation of a single main distress due to manual data collection on section PCI is insignificant,and the error is limited to about 2 points,however,the average error reaches up to 10 points if severity degrees of all distress are deviated.