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作 者:宿利平 严志豪 王辉 郭明洋 张小军[2] 高文学[2] SU Liping;YAN Zhihao;WANG Hui;GUO Mingyang;ZHANG Xiaojun;GAO Wenxue(Beijing Municipal Road and Bridge Co.,Ltd.,Beijing 100045,China;Faculty of Architecture,Civil and Transportation Engineering,Beijing University of Technology,Beijing 100124,China)
机构地区:[1]北京市政路桥股份有限公司,北京100045 [2]北京工业大学城市建设学部,北京100124
出 处:《施工技术(中英文)》2023年第12期21-26,共6页Construction Technology
基 金:爆破工程湖北省重点实验室开放基金(BL2021-23)。
摘 要:为准确分析隧道爆破振动信号特征,基于EEMD-HHT方法对现场实测的爆破振动信号进行时频和能量分析。结果表明:EEMD算法可有效改善EMD分解产生的信号模态混叠效应;采用去噪指标对EMD和EEMD分解的信号进行量化评价,其中EEMD分解得到的信号去噪比较大,均方根差更小,即EEMD算法的去噪效果优于EMD;通过EEMD-HHT分析,能有效反映爆破振动信号的时间-频率-能量之间的关系;通过对爆破信号频带能量提取,发现在试验条件下爆破振动信号主振频带范围在41~50Hz,其余各频带能量围绕主频带呈现正态分布,0~10Hz低频带占据总能量的7.84%,爆破施工时应采取相应措施避免隧道衬砌结构发生共振现象。In order to accurately analyze the characteristics of tunnel blasting vibration signals,timefrequency and energy analysis of field measured blasting vibration signals are carried out based on EEMDHHT method.The results show that:The EEMD algorithm can effectively improve the signal mode aliasing effect generated by EMD decomposition.The denoising index is used to quantitatively evaluate the signals decomposed by EMD and EEMD.The denoising ratio of signals obtained by EEMD decomposition is larger and the root-mean-square difference is smaller,that is,the denoising effect of EEMD algorithm is better than that of EMD.The relationship among time,frequency and energy of blasting vibration signal can be effectively reflected through EEMD-HHT analysis.By extracting the energy of blasting signal frequency band,it is found that under the test conditions,the main frequency band of blasting vibration signal ranges from 41~50Hz,and the energy of other frequency bands presents a normal distribution around the main frequency band,and the low frequency band of 0~10Hz accounts for 7.84%of the total energy.Corresponding measures should be taken to avoid resonance phenomenon of tunnel lining structure during blasting construction.
关 键 词:隧道工程 开挖 爆破 振动 信号去噪 EEMD-HHT变换 频谱特性
分 类 号:U455.6[建筑科学—桥梁与隧道工程]
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