青连高铁K104+080路基工后沉降预测  

Post-Construction Settlement Prediction of Qingdao-Lianyungang High-Speed Railway K104 + 080 Subgrade

作　　者：冯上朝[1] 刘莎[1] FENG Shangchao;LIU Sha(Department of Surveying and Mapping Engineering,Shanxi Railway Institute,Weinan 714000,China)

机构地区：[1]陕西铁路工程职业技术学院测绘工程系,陕西渭南714000

出　　处：《大连交通大学学报》2018年第4期92-96,共5页Journal of Dalian Jiaotong University

摘　　要：以青连高铁K104+080路基为例,通过设计合理的监测方案监测了路基不同部位的工后沉降、沉降速率和湿度,分析了路基工后沉降规律;基于监测数据采用GM(1,1)模型、神经网络模型和灰色神经网络模型进行了路基工后沉降预测,在验证预测效果的基础上基于灰色神经网络模型构建了路基工后沉降预测模型,明确了该路基的稳定状况并提出了路基工后沉降预警方法.研究结果表明:Ⅰ-1、Ⅰ-2、Ⅰ-3和Ⅰ-4监测点的工后沉降预测值在第45监测期以后增量很小,并分别收敛于5.19、4.96、4.71和4.47 mm,该路基将继续保持稳定状态;选取工后沉降量为主要预警指标,沉降速率为辅助预警指标,将高铁路基沉降预警等级分为Ⅰ、Ⅱ和Ⅲ级.Taking Qingdao-Lianyungang high-speed railway K104 ＋ 080 subgrade as an example,through reasonable design of monitoring scheme,the post-construction settlement,settlement velocity and humidity monitoring were managed,and the law of post-construction settlement was also summarized. Post-construction settlement was predicted using the GM（ 1,1） model,the neural network model and the grey neural network model based on the monitoring data; Subgrade post-construction settlement prediction model based on the gray neural network model was constructed on the basis of prediction accuracy authentication,and the warning method of subgrade post-construction settlement was established. The research results show that the post-construction settlement of Ⅰ-1,Ⅰ-2,Ⅰ-3 and Ⅰ-4 monitoring sites becomes very little after 45 monitoring cycles,and the post-construction settlement will convergent to 5. 19 mm,4. 96 mm,4. 71 mm and 4. 47 mm,and the subgrade will continue to keep the stable state. Post-construction settlement and settlement velocity are chosen as main warning index and auxiliary warning index,and high-speed railway subgrade post-construction settlement warning grades are divided into Ⅰ,Ⅱ and Ⅲ.

关 键 词：青连高铁 路基工后沉降 监测 预测 预警 灰色神经网络模型 

分 类 号：U213.157[交通运输工程—道路与铁道工程]