土工基础

›› 2017, Vol. 31 ›› Issue (2): 193-196.

• 工程实录 • 上一篇    下一篇

基于蠕变经验模型与指数曲线模型的大坝沉降预测

胡喜艳，彭环云，李建中   

  1. （中南大学地球科学与信息物理学院，长沙 410083）
  • 收稿日期:2016-04-11 修回日期:2016-04-22 出版日期:2017-04-20 发布日期:2017-05-04
  • 作者简介:胡喜艳（1992-），女，硕士研究生，研究方向为岩土工程勘察、设计与地基处理。
  • 基金资助:

    国家自然科学基金项目（41572269）

Prediction of Dam Settlement Using Empirical and Exponential Creep Models

HU Xiyan, PENG Huanyun, LI Jianzhong   

  1. (School of Geosciences and Info-physics, Central South University, Changsha 410083)
  • Received:2016-04-11 Revised:2016-04-22 Online:2017-04-20 Published:2017-05-04

摘要： 为检验陕西省榆林市神木县采兔沟水库大坝的灌浆加固处理效果，保证水库安全运行，采用自动监测系统对泄洪洞沉降进行了长期观测，将获得的沉降观测资料估算沉降量及其发展规律以评价大坝地基稳定性。利用蠕变经验模型与指数曲线模型对大坝地基沉降进行拟合预测，分析讨论了两种模型的适用性。结果表明：蠕变经验模型预测曲线与指数曲线模型预测曲线均与原始观测数据的拟合程度接近，能较好地反映灌浆加固处理后大坝沉降的规律,两者相互印证,提高了大坝沉降预测的可靠度。

关键词: 蠕变经验模型, 指数曲线模型, 大坝沉降预测

Abstract: In order verify the effect of the grout improvement and to ensure the operation safety of the Caitugou Dam of Shenmu County, Yulin City in Shaanxi Province, the automatic monitoring system was used to monitor the long term settlement at the spillway tunnel. The monitored data were also used to evaluate the stability of the dam foundation. Both the empirical creep model and the exponential creep model are used in fitting the observed dam settlement data. The results indicate that both models can provide satisfactory results for the settlement prediction.

Key words: Empirical Creep Model, Exponential Model, Dam Settlement Prediction