摘要
研究目的:地铁盾构施工监测数据(特别在盾构始发段)具有数据量小,监测间隔不相等的特点,一般数据拟合与预测方法的应用受到诸多约束。研究结论:本文提出了通过预设阈值的改进非等间隔模型,并基于武汉地铁盾构二号线的积玉桥始发段的监测数据进行了拟合与预测分析。结果表明,本文方法能在数据量小,非等间隔监测数据的前提下,对地表沉降进行较好的拟合与预测,并与传统非等间隔模型的结果进行了比较。
Research purposes： The monitored data on the shield construction of metro always have features of small volume and non-equal monitoring interval.It is difficult to fit or predict the data with the common methods.Research conclusions：The fitting and prediction were done for data on the Jiyuqiao start section of Line 2 of Wuhan Metro by using an advanced non-equal interval model with a certain threshold.The result showed the ground settlement data could be better fit and predicted with this method on the premise of small data volume and non-equal interval monitoring data.The comparison was made between the result obtained from this method and the result obtained from the traditional non-equal interval model.
出处
《铁道工程学报》
EI
北大核心
2011年第1期86-91,共6页
Journal of Railway Engineering Society
基金
武汉市科技攻关计划项目(地铁工程建设安全控制关键技术和产业化示范研究)
国家杰出青年科学基金(50925828)
桥梁工程湖南省普通高校重点实验室资助项目(10KA03)
重庆交通大学(桥梁)结构工程重点实验室开放基金资助(CQSLBF-Y1)
关键词
盾构施工
地表沉降
非等间隔模型
数据拟合
数据预测
shield construction
ground settlements
non-equal interval model
data fitting
data prediction
