Article(id=1236327866376442286, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1236327863171993957, articleNumber=null, orderNo=null, doi=10.3969/j.issn.0253-6099.2023.02.008, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1669132800000, receivedDateStr=2022-11-23, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1772693133205, onlineDateStr=2026-03-05, pubDate=1680278400000, pubDateStr=2023-04-01, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1772693133205, onlineIssueDateStr=2026-03-05, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1772693133205, creator=13701087609, updateTime=1772693133205, updator=13701087609, issue=Issue{id=1236327863171993957, tenantId=1146029695717560320, journalId=1235980550691926019, year='2023', volume='43', issue='2', pageStart='1', pageEnd='170', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1772693132441, creator=13701087609, updateTime=1772693403732, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1236329001107640372, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1236327863171993957, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1236329001107640373, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1236327863171993957, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=35, endPage=39, ext={EN=ArticleExt(id=1236327866628100537, articleId=1236327866376442286, tenantId=1146029695717560320, journalId=1235980550691926019, language=EN, title=Study of Frequency Bands vs Energy Distribution of Blast Vibration Signals Based on EEMD and Hilbert Transform, columnId=1236276106018484431, journalTitle=Mining and Metallurgical Engineering, columnName=MINING, runingTitle=null, highlight=null, articleAbstract=

In order to study the energy distribution of blast wave propagation, the EEMD and Hilbert transform techniques were adopted to analyze the blast vibration signals at the same measuring point in different directions, on the same line with different distance away from explosion center, as well as with the same distance away from explosion center but with different maximum charges. It is found that vertical signal energy is mainly concentrated in the midbands, while the radial signal energy in horizontal direction is distributed in both the mid- and low-bands, and tangential signal energy in the horizontal direction is mainly concentrated in the high-bands. Under the same monitoring, a greater attenuation is found in high frequency energy and the proportion of signal energy distribution shifts from high-bands to low-bands as the distance is farther away from the explosion center. However, with the same distance away from the explosion center, increasing the maximum charge in a single stage can lead to higher proportion of low frequency energy, and significantly increased charge can bring more obvious effect.

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为研究爆破地震波传播时的能量分布规律,以某基坑爆破工程为工程背景,利用EEMD-Hilbert工具,分析了同一测点不同方向、同直线不同爆心距以及同爆心距离不同最大段药量的爆破振动信号。结果表明,垂向信号能量主要集中在中频带,水平径向信号能量在中、低频带均有分布,水平切向信号能量主要集中在高频带;同次监测下,随着爆心距增大,信号高频能量衰减得更快,信号能量分布占比从高频向低频转移;爆心距相等的情况下,增加单段最大药量会促进信号低频能量占比增加,药量显著增大时,低频信号占比增加更为显著。

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张想(1999-),男,江西九江人,硕士研究生,主要研究方向为岩土工程爆破技术。
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任艳民(1989—),男,河南太康人,硕士,高级工程师,主要从事爆破工程、安全工程、矿山工程方面的研究工作。

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任艳民(1989—),男,河南太康人,硕士,高级工程师,主要从事爆破工程、安全工程、矿山工程方面的研究工作。

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任艳民(1989—),男,河南太康人,硕士,高级工程师,主要从事爆破工程、安全工程、矿山工程方面的研究工作。

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基于EEMD-Hilbert变换的爆破振动信号频带-能量分布特征研究
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任艳民 1 , 龙运杰 1 , 唐虹靖 1 , 侯胜心 1 , 张想 2 , 李启月 2
矿冶工程杂志 | 采矿 2023,43(2): 35-39
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矿冶工程杂志 | 采矿 2023, 43(2): 35-39
基于EEMD-Hilbert变换的爆破振动信号频带-能量分布特征研究
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任艳民1, 龙运杰1, 唐虹靖1, 侯胜心1, 张想2, 李启月2
作者信息
  • 1.西藏中金新联爆破工程有限公司,西藏 拉萨 850000
  • 2.中南大学 资源与安全工程学院,湖南 长沙 410083
  • 任艳民(1989—),男,河南太康人,硕士,高级工程师,主要从事爆破工程、安全工程、矿山工程方面的研究工作。

通讯作者:

张想(1999-),男,江西九江人,硕士研究生,主要研究方向为岩土工程爆破技术。
Study of Frequency Bands vs Energy Distribution of Blast Vibration Signals Based on EEMD and Hilbert Transform
Yanmin REN1, Yunjie LONG1, Hongjing TANG1, Shengxin HOU1, Xiang ZHANG2, Qiyue LI2
Affiliations
  • 1.Tibet Cgxinlian Blasting Engineering Co Ltd, Lhasa 850000, Tibet, China
  • 2.School of Resources and Safety Engineering, Central South University, Changsha 410083, Hunan, China
出版时间: 2023-04-01 doi: 10.3969/j.issn.0253-6099.2023.02.008
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为研究爆破地震波传播时的能量分布规律,以某基坑爆破工程为工程背景,利用EEMD-Hilbert工具,分析了同一测点不同方向、同直线不同爆心距以及同爆心距离不同最大段药量的爆破振动信号。结果表明,垂向信号能量主要集中在中频带,水平径向信号能量在中、低频带均有分布,水平切向信号能量主要集中在高频带;同次监测下,随着爆心距增大,信号高频能量衰减得更快,信号能量分布占比从高频向低频转移;爆心距相等的情况下,增加单段最大药量会促进信号低频能量占比增加,药量显著增大时,低频信号占比增加更为显著。

爆破振动  /  EEMD-Hilbert  /  爆破信号  /  时频分析  /  能量分布

In order to study the energy distribution of blast wave propagation, the EEMD and Hilbert transform techniques were adopted to analyze the blast vibration signals at the same measuring point in different directions, on the same line with different distance away from explosion center, as well as with the same distance away from explosion center but with different maximum charges. It is found that vertical signal energy is mainly concentrated in the midbands, while the radial signal energy in horizontal direction is distributed in both the mid- and low-bands, and tangential signal energy in the horizontal direction is mainly concentrated in the high-bands. Under the same monitoring, a greater attenuation is found in high frequency energy and the proportion of signal energy distribution shifts from high-bands to low-bands as the distance is farther away from the explosion center. However, with the same distance away from the explosion center, increasing the maximum charge in a single stage can lead to higher proportion of low frequency energy, and significantly increased charge can bring more obvious effect.

blast vibration  /  EEMD-Hilbert  /  blast vibration signal  /  time-frequency analysis  /  energy distribution
任艳民, 龙运杰, 唐虹靖, 侯胜心, 张想, 李启月. 基于EEMD-Hilbert变换的爆破振动信号频带-能量分布特征研究. 矿冶工程杂志, 2023 , 43 (2) : 35 -39 . DOI: 10.3969/j.issn.0253-6099.2023.02.008
Yanmin REN, Yunjie LONG, Hongjing TANG, Shengxin HOU, Xiang ZHANG, Qiyue LI. Study of Frequency Bands vs Energy Distribution of Blast Vibration Signals Based on EEMD and Hilbert Transform[J]. Mining and Metallurgical Engineering, 2023 , 43 (2) : 35 -39 . DOI: 10.3969/j.issn.0253-6099.2023.02.008
2023年第43卷第2期
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doi: 10.3969/j.issn.0253-6099.2023.02.008
  • 接收时间:2022-11-23
  • 首发时间:2026-03-05
  • 出版时间:2023-04-01
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  • 收稿日期:2022-11-23
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    1.西藏中金新联爆破工程有限公司,西藏 拉萨 850000
    2.中南大学 资源与安全工程学院,湖南 长沙 410083

通讯作者:

张想(1999-),男,江西九江人,硕士研究生,主要研究方向为岩土工程爆破技术。
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2种不同金属材料的力学参数

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占总种数比例
Percentage of
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Genus
种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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