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基于小波分析的泥石流冲击力信号处理
引用本文:唐金波,胡凯衡,周公旦,陈华勇,朱兴华,马超.基于小波分析的泥石流冲击力信号处理[J].四川大学学报(工程科学版),2013,45(1):8-13.
作者姓名:唐金波  胡凯衡  周公旦  陈华勇  朱兴华  马超
作者单位:1. 中国科学院山地灾害与地表过程重点实验室,四川成都610041;中国科学院水利部成都山地灾害与环境研究所,四川成都610041
2. 中国科学院山地灾害与地表过程重点实验室,四川成都610041;中国科学院水利部成都山地灾害与环境研究所,四川成都610041;中国科学院研究生院,北京100049
基金项目:国家重点基础研究发展计划
摘    要:对于防治工程的设计,泥石流冲击力是一个很重要的参数,其冲击力的大小要准确地进行估计是很困难的,并且由于泥石流的破坏性很强,很难在野外进行冲击力的测量.为了减小模型尺度带来的影响,利用大型水槽进行泥石流冲击力实验,并对得到的冲击力信号进行小波降噪处理.通过比较降噪后重构的信号及降噪后的信号发现,降噪后的泥石流冲击力信号可作为液相浆体的冲击力过程线.对采集到的泥石流冲击力数据分析后发现,泥石流液相浆体的冲击力计算公式p=Kρfv2中的系数K接近于0.5.

关 键 词:泥石流  冲击力  小波分析  信号降噪
收稿时间:2012/11/26 0:00:00
修稿时间:2012/11/27 0:00:00

Debris Flow Impact Pressure Signal Processing by the Wavelet Analysis
Tang Jinbo,Hu Hengkai,Zhou Gongdan,Chen Huayong,Zhu Xinghua and Ma Chao.Debris Flow Impact Pressure Signal Processing by the Wavelet Analysis[J].Journal of Sichuan University (Engineering Science Edition),2013,45(1):8-13.
Authors:Tang Jinbo  Hu Hengkai  Zhou Gongdan  Chen Huayong  Zhu Xinghua and Ma Chao
Affiliation:Institute of mountain hazard and environment,CAS
Abstract:As debris flow break out, which would strong power of destruction and seriously threaten human livings and properties when debris flow happens. Therefore, it is necessary to study the development and control of debris flow in order to prevent them. For the prevention and control of engineering design, the magnitude of debris flow impact force is a very important parameter and is difficult to be estimated and measured in the field. To reduce the influence of model scale, in this paper, we have carried out debris flow impact force experiment by large flume and used the wavelet analysis to de-noise the debris flow impact signal we got. We found that the de-noised debris flow impact signal could be impact pressure of liquid phase slurry by comparing the reconstructed signal with de-noised signal. Analyzing debris flow impact pressure experiment data we got, we found that the coefficient approach 0.5 in the debris flow impact pressure formula .
Keywords:Debris flow  impact pressure  wavelet analysis  signal de-noising
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