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Prediction Method of Asphalt Pavement Performance and Corrosion Based on Grey System Theory

机译:基于灰色系统理论的沥青路面性能和腐蚀预测方法

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The Grey system theory is a new mathematical method to predict data changes in the poor data integrity. As a branch of Grey system theory, the GM (1, 1) model is widely used because only small sample data and simple calculations are needed in prediction of engineering project. It is a critical problem to effectively predict the performance and corrosion of asphalt pavement of highway construction due to the inadequacy of highway performance monitoring data. The smoothness, rut, and pavement skid resistance are three important indexes to evaluate the performance and corrosion of asphalt pavement. This paper has established the prediction model and derived prediction equation of asphalt pavement performance according to the GM (1, 1) model method and then listed the calculation equation of residual and the gray absolute correlation degree. Based on the experience of constructed Dalian-Guangzhou expressway in China, the vectors “a” and “b” in the prediction equation of smoothness, rut, and pavement skid resistance have been calculated by using the original monitoring data. The field monitoring data are compared with the predictive data for residual and the gray absolute correlation. The results reveal that the predicted data of the smoothness, rut, and skid resistance are mostly consistent with the monitoring data, the biggest residual of the above three indexes is smaller than 8.09%, and the gray absolute correlation degrees all exceed 0.9, which means the accuracy of the predicted equation is excellent. The calculation method based on GM (1, 1) model can effectively predict the changing performance index of asphalt pavement.
机译:灰色系统理论是一种新的数学方法,可以预测数据完整性差的数据变化。作为灰色系统理论的分支,GM(1,1)模型被广泛使用,因为在工程项目预测中只需要小样本数据和简单计算。有效地预测公路建设沥青路面的性能和腐蚀是一个关键问题,由于公路性能监测数据不足。平滑度,车辙和路面平滑抗性是评估沥青路面性能和腐蚀的三个重要指标。本文根据GM(1,1)模型方法建立了沥青路面性能的预测模型和推导预测方程,然后列出了残差和灰色绝对相关程度的计算方程。基于在中国建造的大连 - 广州高速公路的经验,通过使用原始监测数据计算了平滑度,车辙和路面滑动阻力的预测方程中的矢量和“B”。将现场监测数据与残差和灰色绝对相关性的预测数据进行比较。结果表明,平滑度,车辙和滑动阻力的预测数据大多符合监测数据,上述三个索引的最大剩余剩余量小于8.09%,灰色绝对相关程度均超过0.9,这意味着预测方程的准确性很好。基于GM(1,1)模型的计算方法可以有效地预测沥青路面的变化性能指标。

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