摘要
观音岩水电站大坝混凝土微震监测数据分析处理的难点是监测区域内施工干扰重、噪声事件多。总结碾压混凝土梁(模型)三点弯曲破坏试验微震事件波形特征,分析大坝混凝土微震监测过程典型噪声事件与混凝土(模型)微震事件波形特征差异,提出"两筛除,一分类"法自动提取大坝混凝土微震监测过程的有效事件。"两筛除,一分类"法即筛除周期噪声事件、筛除条带状噪声事件,采用波形包络线互相关法对筛除后事件进行分类,提取有效事件。研究表明,采用"两筛除,一分类"法可以快速准确处理完成观音岩水电站大坝混凝土微震监测原始数据,自动提取出有效事件,为实时监测分析大坝混凝土裂缝发展趋势提供基础条件。
It is difficult to analyze and deal with the micro-seismic monitoring data of dam concrete of Guanyinyan Hydropower Station as heavy construction interference and noisy events in monitoring area. Based on the characteristics of micro-seismic event waveforms of RCC beam model three point bending failure tests, the differences of waveform characteristics between typical noise event during actual micro-seismic monitoring and model tests are analyzed, and.then the method named ＂Two Delete, One Classification＂ is proposed. The new method contains removing periodic noise events, deleting strip noise events and classifying remaining events by using the method of cross correlation for waveform envelope. The results of research show that the new method can automatically extract effective events from micro-seismic monitoring data and rapidly process the micro- seismic monitoring data of Guanyinyan Hydropower Station, which providing a basis for real-time monitoring and analyzing the development of dam concrete cracking.
作者
雷英成
何刚
陈思宇
沙椿
肖长安
LEI Yingcheng HE Gang CHEN Siyu SHA Chun XIAO Changan(Sichuan Zhongshui Chengkanyuan Geophysical Exploration Co., Ltd., Chengdu 610072, Sichuan, China PowerChina Kunming Engineering Corporation Limited, Kunming650051, Yunnan, China)
出处
《水力发电》
北大核心
2017年第1期101-106,共6页
Water Power
关键词
大坝混凝土
微震监测
周期噪声事件
条带状噪声事件
重型敲击事件
有效事件
自动提取
观音岩水电站
dam concrete
micro-seismic monitoring
periodic noise event
strip noise event
heavy knock event
effectiveevent
automatic extraction
Guanyinyan Hydropower Station
