›› 2010, Vol. 31 ›› Issue (3): 811-814.

• 岩土工程研究 • 上一篇    下一篇

考虑气象因素影响的大坝监测沉降小波分析

张琦伟1,袁鸿鹄2,王芝银2,朱鸿雪2,宫晓明1   

  1. 1. 北京市水利规划设计研究院,北京 100044;2. 中国石油大学 城市油气输配技术北京市重点实验室,北京 102249
  • 收稿日期:2009-07-21 出版日期:2010-03-10 发布日期:2010-03-31
  • 作者简介:张琦伟,男,1964年生,博士,地质所所长,主要从事水利水电工程地质方面的科研工作。

Wavelet analysis of monitoring dam settlement considering effects of meteorological factors

ZHANG Qi-wei1,YUAN Hong-hu2,WANG Zhi-yin2,ZHU Hong-xue2,GONG Xiao-ming1   

  1. 1. Beijing Municipal Institute of Hydraulic Engineering Planning Design and Research, Beijing 100044, China; 2. Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum, Beijing 102249, China
  • Received:2009-07-21 Online:2010-03-10 Published:2010-03-31

摘要:

为了消除大坝沉降监测数据受温度、湿度及光照等气象因素及外界不确定因素的噪声响应,提出考虑气象因素影响的大坝监测沉降小波分析方法。首先建立原始监测数据与各气象因素的函数关系,进而消去气象因素对坝体沉降的影响,然后采用小波分析对监测数据进行去噪处理,最后得到大坝真实的荷载响应沉降曲线,为大坝稳定性评价提供依据。实例应用表明,考虑气象因素影响的大坝监测沉降小波分析方法能有效地去除气象因素及外界不确定因素引起的噪声响应,比小波直接去噪法效果更佳,与数值模拟计算值能较好地吻合,具有更好的实际应用价值。

关键词: 大坝监测沉降, 小波分析, 气象因素, 去噪处理

Abstract:

The monitoring data of dam settlement are usually disturbed by uncertain factors and meteorological factors such as temperature, air humidity and light intensity. In order to remove those factors, a new method of wavelet analysis considering the effects of meteorological factors for dam settlement is proposed. Firstly, the functional relation between the monitoring data and the meteorological factors is established. And then based on the functional relation, the effects of meteorological factors on the monitoring data of dam settlement can be removed. Finally, based on the de-noising process of monitoring data by wavelet analysis, a dam settlement curve that is close to the practical situation can be obtained, which can provide dam stability evaluation with scientific basis. The results show that the new method of wavelet analysis considering the effects of meteorological factors is better than the method of direct wavelet analysis; and it can effectively remove noise signal caused by meteorological factors and other uncertain factors; and the dam settlement processed in this method agrees well with the numerical simulation results; and it has better feasibility and practical application value.

Key words: dam settlement monitoring, wavelet analysis, meteorological factors, de-noising processing

中图分类号: 

  • TU 459
[1] 聂治豹,郑 宏,张 谭. 基于强度折减法确定边坡临界滑面的小波变换法[J]. , 2017, 38(6): 1827-1831.
[2] 彭冠英,许 明,谢 强,傅 翔,. 基于岩石声发射信号的指数衰减型小波基构造[J]. , 2016, 37(7): 1868-1876.
[3] 周 超 , 殷坤龙 , 黄发明,. 混沌序列WA-ELM耦合模型在滑坡位移预测中的应用[J]. , 2015, 36(9): 2674-2680.
[4] 高广运 ,宋 健 , . 近断层速度脉冲地震动引起的边坡永久位移预测模型[J]. , 2014, 35(5): 1340-1347.
[5] 屈畅姿 ,王永和 ,魏丽敏 ,郭志广 . 武广高速铁路路基振动现场测试与分析[J]. , 2012, 33(5): 1451-1456.
[6] 陈士海,魏海霞,杜荣强. 爆破震动信号的多分辨小波分析[J]. , 2009, 30(S1): 135-139.
[7] 李长冬 ,唐辉明 ,胡 斌 ,李东明 ,倪 俊 . 小波分析和RBF神经网络在地基沉降预测中的应用研究[J]. , 2008, 29(7): 1917-1922.
[8] 刘明贵,岳向红,张 杰. 敲击-回波法中传感器影响的小波分析[J]. , 2005, 26(9): 1379-1384.
[9] 曹茂森 ,任青文 ,刘福胜 ,张 健,. 基于反射波特征小波分析的工程基础无损检测[J]. , 2005, 26(7): 1073-1079.
[10] 李 刚,谢 云,陈正汉,李建平. 小波分析在试验信号消噪方面的应用[J]. , 2003, 24(1): 103-105.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] 刘小文,常立君,胡小荣. 非饱和红土基质吸力与含水率及密度关系试验研究[J]. , 2009, 30(11): 3302 -3306 .
[2] 王观石,李长洪,陈保君,李世海. 应力波在非线性结构面介质中的传播规律[J]. , 2009, 30(12): 3747 -3752 .
[3] 王朝阳,许 强,倪万魁. 原状黄土CT试验中应力-应变关系的研究[J]. , 2010, 31(2): 387 -391 .
[4] 刘远明,夏才初. 直剪条件下非贯通节理岩体岩桥力学性质弱化机制及贯通模型初步研究[J]. , 2010, 31(3): 695 -701 .
[5] 万少石,年廷凯,蒋景彩,栾茂田. 边坡稳定强度折减有限元分析中的若干问题讨论[J]. , 2010, 31(7): 2283 -2288 .
[6] 闫 铁,李 玮,毕雪亮. 基于分形方法的多孔介质有效应力模型研究[J]. , 2010, 31(8): 2625 -2629 .
[7] 刘 嘉,王 栋. 正常固结黏土中平板锚基础的吸力和抗拉力[J]. , 2009, 30(3): 735 -740 .
[8] 徐维生,柴军瑞,陈兴周,孙旭曙. 岩体裂隙网络非线性非立方渗流研究与应用[J]. , 2009, 30(S1): 53 -57 .
[9] 赵尚毅,郑颖人,李安洪,邱文平,唐晓松,徐 俊. 多排埋入式抗滑桩在武隆县政府滑坡中的应用[J]. , 2009, 30(S1): 160 -164 .
[10] 陈保国 ,孙金山 ,张 磊. 上埋式钢筋混凝土拱涵受力特性及地基处理研究[J]. , 2011, 32(5): 1500 -1506 .