地铁施工过程地面沉降预测研究
Prediction of Ground Settlement caused by Metro Construction
张业勤 1郭伟 2庄其建2
作者信息
- 1. 中国水利水电第七工程局有限公司，四川 成都 610081
- 2. 中国地质大学 武汉 工程学院，湖北 武汉 430074
- 折叠
摘要
地铁施工导致的地表沉降问题日益突出，对其进行监测控制也愈发重要。采用时间序列ARMA模型对监测数据进行分析处理，并以过去一段时期的实测沉降值为依据进行沉降预报预测。结果表明当以实时监测数据为依据进行预测时，预测结果与实际情况基本吻合，精度较高；当进行多步预测时，预测结果精度低，误差大。故在工程实际中对地表沉降进行预测时，应当保持监测数据的频率和监测数据的事实有效性。
Abstract
With the problem of ground settlement caused by metro construction increasingly serious, to monitoring and control the settlement are also increasingly important. The method of time series analysis is adopted to analyze the settlement data with the ARMA model. Forecast is made based on a period of the measured settlement value. The results show that the prediction is consistent with the actual situation, and the ARMA model can be used to analyze and process settlement data.
关键词
地铁施工/沉降预测/ARMA模型Key words
metro construction/settlement prediction/ARMA model引用本文复制引用
出版年
2015
NETL
NSTL
维普
万方数据