基于多灰色预测模型对比的高速公路路基沉降量预测  

Highway roadbed settlement prediction based on comparison of gray prediction model

作　　者：于澍 

机构地区：[1]西安城市建设综合开发中心,陕西西安710061

出　　处：《西安建筑科技大学学报（自然科学版）》2013年第2期233-238,共6页Journal of Xi'an University of Architecture & Technology(Natural Science Edition)

基　　金："十一五"国家科技支撑计划课题资助(2006BAB02A02);国家自然科学基金资助项目(50490274)

摘　　要：高速公路路基沉降量的预测不仅关系着高速公路的施工质量与服务水平,同时对高速公路的行车安全也有重要影响.根据路基沉降量的实测资料,通过多种灰色预测模型对路基沉降量进行了数据规律分析及精度对比,选取了最优的灰色预测模型对路基最终沉降量进行预测.为路基稳定性的评价与路基沉降的控制应对提供了参考.The prediction of highway roadbed settlement amount is not only related to the highway construction quality and level of service, but also has an important impact on highway traffic safety at the same time. According to the measured data of roadbed settlement, a variety of gray prediction models were applied to the analysis of the data law and accuracy comparison, the optimal gray prediction model was selected to predict the roadbed final settlement amount. A reference for the evaluation of the roadbed stability and controlling to roadbed settlement is provided.

关 键 词：公路 路基 沉降 灰色模型 预测 

分 类 号：U416.111[交通运输工程—道路与铁道工程]