摘要
边坡深部位移监测曲线中的波动现象既反映了自然活动和人工活动使边坡内部位移产生的突变;也反映了噪声对其造成的影响。为了提高边坡稳定性评价的准确性,有必要监测信号进行降噪处理。小波分析作为一种新兴的数学工具,具有多分辨分析的特性,在信号的噪声消除方面,已有了广泛应用。将小波分析应用在边坡水平位移监测曲线的降噪中,选用小波阈值法对西攀高速公路k132高边坡和318国道k2791高边坡监测数据进行降噪,结果证实,小波分析方法能有效处理边坡深部位移监测数据。
Undulation in displacement monitoring curve of slope both reflect abrupt changes which nature and manpower bring about and reflect influence of ambient noise. It＇s important to eliminating the noise of slope＇ s displacement monitoring for improve veracity of slope stability evaluation. As a new mathematics utility, wavelet analysis have characteristic of muhiresolution. There are abroad applications in eliminating noise of signal. In this paper, wavelet analysis is used to study the methods for eliminating the noise of slope＇ s displacement monitoring dates. The nonlinear wavelet threshold is used for eliminating noise of displacement monitoring dates in Xi-Pan highway k132 slope and 318 national road k2791 slope. The results show this method is effective.
出处
《中南公路工程》
2007年第2期41-44,55,共5页
Central South Highway Engineering
基金
交通部西部交通建设科技项目(200231800026)
四川省交通厅计划科研项目(99003)
关键词
小波分析
降噪
位移监测曲线
wavelet analysis
eliminating noise
displacement monitoring curve
