Article(id=1321895060732490676, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321894989857141221, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1753027200000, receivedDateStr=2025-07-21, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793093942100, onlineDateStr=2026-10-27, pubDate=1787587200000, pubDateStr=2026-08-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793093942100, onlineIssueDateStr=2026-10-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793093942100, creator=13701087609, updateTime=1793093942100, updator=13701087609, issue=Issue{id=1321894989857141221, tenantId=1146029695717560320, journalId=1225396423026438145, year='2026', volume='46', issue='8', pageStart='1', pageEnd='324', issueExtLink='null', onlineDate='null', pubDate='1787587200000', pubDateStr='2026-08-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793093925203, creator='13701087609', updateTime=1793094606751, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321897848535372687, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321894989857141221, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321897848535372688, tenantId=1146029695717560320, journalId=1225396423026438145, issueId=1321894989857141221, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=206, endPage=214, ext={EN=ArticleExt(id=1321895061034480565, articleId=1321895060732490676, tenantId=1146029695717560320, journalId=1225396423026438145, language=EN, title=Study on Mechanical Behavior and Acoustic Emission Characteristics of Granite Based on Three-Point Bending Test, columnId=null, journalTitle=Mining Research and Development, columnName=null, runingTitle=null, highlight=null, articleAbstract=

To reveal the tensile fracture and instability collapse mechanism of granite roofs in deep mining, three types of samples, namely fine-grained Luotian granite, coarse-grained Golden Ma granite, and medium-grained Yunfu granite, were selected for three-point bending tests. Combined with acoustic emission monitoring technology, the bending strength, dominant frequency distribution, damage evolution, and crack propagation patterns were systematically investigated. The results show that the bending strength of granite exhibits a significant particle size effect. The fine-grained Luotian granite has the highest strength of 17.79 MPa, with a sudden post-peak stress drop indicating brittle fracture. The coarse-grained Golden Ma granite has the lowest strength of 5.33 MPa, showing pronounced ductility characteristics. The strength of medium-grained Yunfu granite lies between the above two rock types, reaching 16.04 MPa, and exhibits brittle-ductile transition behavior after the peak. The dominant frequency signals of acoustic emission mainly appear near the peak load and in the post-peak stage, forming three main frequency bands of 0-40 kHz, 50-80 kHz, and 130-180 kHz. The high-frequency signals (130-180 kHz) of Luotian granite surge before the peak, while the dominant frequencies of Golden Ma granite and Yunfu granite are concentrated in the low-frequency band (0-40 kHz) after the peak. The damage evolution of granite undergoes three stages: initial damage, stable development, and accelerated development. Damage accumulation is highly concentrated in the post-peak stage. Golden Ma granite has the highest damage proportion in the post-peak stage, and Luotian granite releases the largest strain energy per unit damage. RA-AF crack mode analysis indicates that the failure of the samples is dominated by tensile cracks, and the proportion of tensile cracks is negatively correlated with mineral grain size. The proportion of tensile cracks in Luotian granite is 3.17 and 6.15 percentage points higher than that in Yunfu and Golden Ma granite, respectively. The quantitative early warning method for roof instability based on dominant frequency signals can provide a theoretical basis and engineering guidance for roof stability evaluation and dynamic disaster prevention and control in deep mining.

, authors=Zhanbing Ding1, Kun Du2, Ping Wang1, Jian Zhou2, Xinyao Luo2, authorsList=Zhanbing Ding, Kun Du, Ping Wang, Jian Zhou, Xinyao Luo, authorCompany=null, correspAuthors=Xinyao Luo, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1321895061340664758, articleId=1321895060732490676, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=基于三点弯曲试验的花岗岩力学行为与声发射特征研究, columnId=1226462295417598973, journalTitle=矿业研究与开发, columnName=矿山安全与环保, runingTitle=null, highlight=null, articleAbstract=

为揭示深部开采中花岗岩顶板的张拉破裂与失稳垮塌机制,选取细粒罗田花岗岩、粗粒黄金麻花岗岩与中粒云浮花岗岩三类试样开展了三点弯曲试验,结合声发射监测技术,对其弯曲强度、主频分布、损伤演化及裂纹扩展模式进行了系统研究。研究结果表明,花岗岩弯曲强度呈现显著的粒径效应,细粒罗田花岗岩强度最高,达17.79 MPa,峰后应力骤降,呈脆性断裂;粗粒黄金麻花岗岩强度最低,为5.33 MPa,表现出显著的延性特征;中粒云浮花岗岩强度介于二者之间,为16.04 MPa,峰后表现出脆-延转化行为。声发射主频信号集中出现在邻近峰值载荷附近及峰后阶段,形成0~40 kHz、50~80 kHz与130~180 kHz三条主要频带,罗田花岗岩在峰前高频信号(130~180 kHz)激增,而黄金麻花岗岩与云浮花岗岩主频集中于峰后低频带(0~40 kHz)。花岗岩的损伤演化均经历初始损伤、稳定发展与加速发展3个阶段,且损伤累积高度集中于峰后阶段,其中黄金麻花岗岩峰后阶段的损伤占比最高,罗田花岗岩单位损伤释放应变能最大。RA-AF裂纹模式分析表明,试样破坏以拉伸裂纹为主,拉伸裂纹比例与矿物粒径呈负相关,罗田花岗岩拉伸裂纹占比较云浮与黄金麻花岗岩,分别高3.17,6.15个百分点。基于主频信号的顶板失稳量化预警方法,可为深部开采顶板稳定性评价与动力灾害防控提供理论依据与工程指导。

, authors=丁战兵1, 杜坤2, 王萍1, 周健2, 罗鑫尧2, authorsList=丁战兵, 杜坤, 王萍, 周健, 罗鑫尧, authorCompany=null, correspAuthors=罗鑫尧, authorNote=

丁战兵(1984—),男,河南商丘人,工程师,主要从事砂石厂开采技术设计与经济管理等方面的研究工作。E-mail:

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罗鑫尧(1999—),男,湖南株洲人,博士研究生,主要从事岩体深部开采与岩石力学等方面的研究工作。E-mail:
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丁战兵(1984—),男,河南商丘人,工程师,主要从事砂石厂开采技术设计与经济管理等方面的研究工作。E-mail:

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丁战兵(1984—),男,河南商丘人,工程师,主要从事砂石厂开采技术设计与经济管理等方面的研究工作。E-mail:

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基于三点弯曲试验的花岗岩力学行为与声发射特征研究
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丁战兵 1 , 杜坤 2 , 王萍 1 , 周健 2 , 罗鑫尧 2
矿业研究与开发 | 矿山安全与环保 2026,46(8): 206-214
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矿业研究与开发 |矿山安全与环保 2026 , 46 (8) : 206 -214
基于三点弯曲试验的花岗岩力学行为与声发射特征研究
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丁战兵(1984—),男,河南商丘人,工程师,主要从事砂石厂开采技术设计与经济管理等方面的研究工作。E-mail:

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丁战兵(1984—),男,河南商丘人,工程师,主要从事砂石厂开采技术设计与经济管理等方面的研究工作。E-mail:

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丁战兵1 , 杜坤2, 王萍1, 周健2, 罗鑫尧2
作者信息
  • 1.中电建路桥集团有限公司,北京 100048
  • 2.中南大学 资源与安全工程学院,湖南 长沙 410083
通讯作者:
罗鑫尧(1999—),男,湖南株洲人,博士研究生,主要从事岩体深部开采与岩石力学等方面的研究工作。E-mail:
作者简介:

丁战兵(1984—),男,河南商丘人,工程师,主要从事砂石厂开采技术设计与经济管理等方面的研究工作。E-mail:

Study on Mechanical Behavior and Acoustic Emission Characteristics of Granite Based on Three-Point Bending Test
Zhanbing Ding1 , Kun Du2, Ping Wang1, Jian Zhou2, Xinyao Luo2
Affiliations
  • 1.Power China Road Bridge Group Co., Ltd., Beijing, 100048, China
  • 2.School of Resources and Safety Engineering, Central South University, Changsha, Hunan 410083, China
出版时间: 2026-08-25
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为揭示深部开采中花岗岩顶板的张拉破裂与失稳垮塌机制,选取细粒罗田花岗岩、粗粒黄金麻花岗岩与中粒云浮花岗岩三类试样开展了三点弯曲试验,结合声发射监测技术,对其弯曲强度、主频分布、损伤演化及裂纹扩展模式进行了系统研究。研究结果表明,花岗岩弯曲强度呈现显著的粒径效应,细粒罗田花岗岩强度最高,达17.79 MPa,峰后应力骤降,呈脆性断裂;粗粒黄金麻花岗岩强度最低,为5.33 MPa,表现出显著的延性特征;中粒云浮花岗岩强度介于二者之间,为16.04 MPa,峰后表现出脆-延转化行为。声发射主频信号集中出现在邻近峰值载荷附近及峰后阶段,形成0~40 kHz、50~80 kHz与130~180 kHz三条主要频带,罗田花岗岩在峰前高频信号(130~180 kHz)激增,而黄金麻花岗岩与云浮花岗岩主频集中于峰后低频带(0~40 kHz)。花岗岩的损伤演化均经历初始损伤、稳定发展与加速发展3个阶段,且损伤累积高度集中于峰后阶段,其中黄金麻花岗岩峰后阶段的损伤占比最高,罗田花岗岩单位损伤释放应变能最大。RA-AF裂纹模式分析表明,试样破坏以拉伸裂纹为主,拉伸裂纹比例与矿物粒径呈负相关,罗田花岗岩拉伸裂纹占比较云浮与黄金麻花岗岩,分别高3.17,6.15个百分点。基于主频信号的顶板失稳量化预警方法,可为深部开采顶板稳定性评价与动力灾害防控提供理论依据与工程指导。

花岗岩  /  三点弯曲试验  /  声发射特征  /  粒径效应  /  破裂机制  /  RA-AF分析

To reveal the tensile fracture and instability collapse mechanism of granite roofs in deep mining, three types of samples, namely fine-grained Luotian granite, coarse-grained Golden Ma granite, and medium-grained Yunfu granite, were selected for three-point bending tests. Combined with acoustic emission monitoring technology, the bending strength, dominant frequency distribution, damage evolution, and crack propagation patterns were systematically investigated. The results show that the bending strength of granite exhibits a significant particle size effect. The fine-grained Luotian granite has the highest strength of 17.79 MPa, with a sudden post-peak stress drop indicating brittle fracture. The coarse-grained Golden Ma granite has the lowest strength of 5.33 MPa, showing pronounced ductility characteristics. The strength of medium-grained Yunfu granite lies between the above two rock types, reaching 16.04 MPa, and exhibits brittle-ductile transition behavior after the peak. The dominant frequency signals of acoustic emission mainly appear near the peak load and in the post-peak stage, forming three main frequency bands of 0-40 kHz, 50-80 kHz, and 130-180 kHz. The high-frequency signals (130-180 kHz) of Luotian granite surge before the peak, while the dominant frequencies of Golden Ma granite and Yunfu granite are concentrated in the low-frequency band (0-40 kHz) after the peak. The damage evolution of granite undergoes three stages: initial damage, stable development, and accelerated development. Damage accumulation is highly concentrated in the post-peak stage. Golden Ma granite has the highest damage proportion in the post-peak stage, and Luotian granite releases the largest strain energy per unit damage. RA-AF crack mode analysis indicates that the failure of the samples is dominated by tensile cracks, and the proportion of tensile cracks is negatively correlated with mineral grain size. The proportion of tensile cracks in Luotian granite is 3.17 and 6.15 percentage points higher than that in Yunfu and Golden Ma granite, respectively. The quantitative early warning method for roof instability based on dominant frequency signals can provide a theoretical basis and engineering guidance for roof stability evaluation and dynamic disaster prevention and control in deep mining.

Granite  /  Three-point bending test  /  Acoustic emission characteristic  /  Particle size effect  /  Fracture mechanism  /  RA-AF analysis
丁战兵, 杜坤, 王萍, 周健, 罗鑫尧. 基于三点弯曲试验的花岗岩力学行为与声发射特征研究. 矿业研究与开发, 2026 , 46 (8) : 206 -214 .
Zhanbing Ding, Kun Du, Ping Wang, Jian Zhou, Xinyao Luo. Study on Mechanical Behavior and Acoustic Emission Characteristics of Granite Based on Three-Point Bending Test[J]. Mining Research and Development, 2026 , 46 (8) : 206 -214 .
  • 国家自然科学基金项目(52374150)
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  • 接收时间:2025-07-21
  • 首发时间:2026-10-27
  • 出版时间:2026-08-25
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  • 收稿日期:2025-07-21
基金
国家自然科学基金项目(52374150)
作者信息
    1.中电建路桥集团有限公司,北京 100048
    2.中南大学 资源与安全工程学院,湖南 长沙 410083

通讯作者:

罗鑫尧(1999—),男,湖南株洲人,博士研究生,主要从事岩体深部开采与岩石力学等方面的研究工作。E-mail:
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2种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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