›› 2014, Vol. 28 ›› Issue (3): 132-134.

• 工程实录 • 上一篇    下一篇

路基沉降不确定性预测研究

李杰   

  1. (上海铁路局,上海 430002)
  • 收稿日期:2013-08-27 出版日期:2014-06-20 发布日期:2014-06-28
  • 作者简介:李杰(1966-),男,安徽蚌埠人,高级工程师,研究方向为铁路工程的建设管理和技术研究。

Uncertainties in the Embankment Settlement Predictions

LI Jie   

  1. (Shanghai Railway Bureau, Shanghai, 200002)
  • Received:2013-08-27 Online:2014-06-20 Published:2014-06-28

摘要: 路基沉降计算和预测是工程建设中一个重要的课题,但是很多情况下理论计算的沉降量与实际沉降量有较大的出入。所以必须对路基沉降进行监测,根据实测数据控制填土速率,保证路堤在施工中的安全与稳定;根据实测沉降曲线预测工后沉降,使工后沉降控制在设计允许范围之内。但沉降预测模型的参数是不确定的,用概率和概率分布去描述更加合适,将模型参数视为随机变量,基于贝叶斯理论和MCMC方法,借助WinBUGS软件,建立了贝叶斯沉降时间序列不确定性预测模型。实例分析表明,该方法所得结果合理可信,将其应用于路基沉降预测是可行和值得研究的。

关键词: 沉降预测, 贝叶斯理论, 先验分布, 时间序列

Abstract: The analysis and prediction of settlement is one of the key issues in the foundation design practice. In many cases the settlement values from the theoretical analysis and the monitoring results are often not even close. Therefore, it is important to monitor the embankment settlement during the construction, and the embankment filling rate should be controlled by the settlement rate so that the safety of the embankment can be assured during the construction. The post construction settlement magnitude can also be predicted and mitigated based on the measured settlement during the construction. However, there are uncertainties in the settlement model parameters, it is more appropriate to describe the settlement pattern with probability and probability distribution methods. The parameters are described as random variables and the model is established based on the Bayesian theory using WinBUGS software in the time domain. The prediction results are compared with the observed values. It is concluded that this method is a reliable method.

Key words: ]Settlement Predictions, Bayesian Theory, Empirical Distribution, Time Domain