路面检测周期对使用性能预测影响研究

发布时间：2019-03-30 17:26

【摘要】：路面使用状况的跟踪检测对路面养护管理来说是十分必要的。由于检测点位、检测频率与检测误差等原因,检测数据均具有一定的不确定性,各地区路面状况检测周期差异进一步加剧了检测数据的不确定性,进而对路面使用性能的预测造成一定影响。该文在对路面性能预测模型误差分析的基础上,通过检测数据的增减,拟合了检测周期不同时车辙深度、开裂面积、国际平整度指数等指标的路面性能预测模型,并采用模型对不同路段的使用年限进行预测,进而分析了检测周期对性能预测的影响。最后根据路面实际检测数据推荐出不同性能指标的最佳检测周期。实例证明:合理的检测周期不但能够节约检测费用,而且可以减少路面使用性能预测误差,更好地为路面养护提供决策依据。
[Abstract]:It is very necessary for pavement maintenance and management to track and detect the use of road surface. Because of the detection point, detection frequency and detection error, the detection data have certain uncertainty, and the difference of the detection period of the pavement condition in each region further aggravates the uncertainty of the detection data. Furthermore, the prediction of pavement performance will be affected to a certain extent. Based on the error analysis of pavement performance prediction model, the pavement performance prediction model with different rut depth, crack area, international smoothness index and so on is fitted by the increase and decrease of testing data, and the road performance prediction model with different rut depth, crack area, international smoothness index and so on is fitted in this paper. The model is used to predict the service life of different sections, and then the influence of the detection period on the performance prediction is analyzed. Finally, the best detection period of different performance indexes is recommended according to the actual pavement testing data. The example shows that the reasonable detection period can not only save the inspection cost, but also reduce the prediction error of pavement performance, and provide the decision-making basis for pavement maintenance better.
【作者单位】：河北工业大学土木学院;
【分类号】：U416.2

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