沥青路面使用性能的非等时距灰色预测模型

目前常依据灰色理论在检测数据缺乏的条件下建立沥青路面使用性能指标的预测模型,但传统的等时距灰色模型仅适用于等时间间隔且累加生成具有明显指数规律的原始动态序列,而非等时距灰色模型能减少原始数据在检测时间上的限制,可以系统地利用原始数据。对等时距灰色模型进行了改进,建立了非等时距灰色模型。工程实例计算表明,非等时距灰色模型在沥青路面性能指标的预测方面较传统的等时距灰色模型具有更高的精度,更能符合工程实际的需要。

Non-equal Interval Grey Prediction Model of Asphalt Pavement Performance

Asphalt pavement performance prediction model can be established in the conditions of lack of test data based on gray theory currently.However,traditional equal interval gray model only applies to the original sequence of equal time space and which accumulated generating operation has exponentially.Non-equal interval gray model can reduce the limit on the detection time of test data,so the data would be systematic used.Some improvements on the equal interval gray model are made and Non-equal interval gray model is built.Projects calculation shows that Non-equal interval gray model is more accurate than equal interval gray model on Asphalt pavement performance prediction,and suitable to the practical need even more.