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Article(id=1241777704106790939, tenantId=1146029695717560320, journalId=1240670690148397066, issueId=1241777699996368955, articleNumber=null, orderNo=null, doi=10.3963/j.issn.1001-487X.2024.02.015, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1696003200000, receivedDateStr=2023-09-30, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773992475773, onlineDateStr=2026-03-20, pubDate=1717171200000, pubDateStr=2024-06-01, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773992475773, onlineIssueDateStr=2026-03-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773992475773, creator=13701087609, updateTime=1773992475773, updator=13701087609, issue=Issue{id=1241777699996368955, tenantId=1146029695717560320, journalId=1240670690148397066, year='2024', volume='41', issue='2', pageStart='1', pageEnd='252', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773992474792, creator=13701087609, updateTime=1773992784144, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1241778997575619516, tenantId=1146029695717560320, journalId=1240670690148397066, issueId=1241777699996368955, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1241778997575619517, tenantId=1146029695717560320, journalId=1240670690148397066, issueId=1241777699996368955, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=120, endPage=126, ext={EN=ArticleExt(id=1241777704886931494, articleId=1241777704106790939, tenantId=1146029695717560320, journalId=1240670690148397066, language=EN, title=Modelling of Relationship between Drilling Parameters of Underground Blasting with Rock Blastability in Phosphate Mines, columnId=1240702072862069231, journalTitle=Blasting, columnName=BLASTING IN ORE AND ROCK, runingTitle=null, highlight=null, articleAbstract=

Rock blastability classification is a prerequisite for determining labour quotas, designing blasting programmes and controlling the unit consumption of explosives. In order to realize a real-time grading of rock explodability, a measurement of in-situ drilling parameters of carbon-bearing muddy dolomite during the excavation process of ore body and roadway in the Shukongping phosphorus mine has been carried out based on the KJ212-1 full-hydraulic boring drilling truck. Combined with the indoor uniaxial compressive strength test, the relationship model between the uniaxial compressive strength Rc and the drilling speed V, the drilling hole diameter D and the rotary pressure M was respectively established and verified. Finally, the model is substituted into the solidity coefficient f relationship equation to derive a model for the relationship between the blasthole drill-following parameters and the rock blastability classification. The results of the study show that the average rate of difference between the uniaxial compressive strength calculated by the relational model and the results of the indoor uniaxial compression tests is 5.5%, which demonstrates the reasonableness of applying the model to the real-time prediction of rock blastability. This model provides a more convenient and fast method for real-time grading prediction of rock blastability. The results show that the dolomitic banded phosphorite, mud banded phosphorite and dense banded phosphorite are medium explosive, carbon-bearing mud dolomite is difficult to explode.

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CHAI Xiu-wei (1980-), male, Ph. D, professor, master's degree supervisor, engaged in blasting theory and technology, geotechnical engineering and safety monitoring technology research, (E-mail) .
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岩体可爆性分级是确定劳动定额、爆破方案设计和控制炸药单耗的先决条件。为实现岩体可爆性的实时分级，针对宜昌磷矿目前采用的钻爆法施工，以宜昌树崆坪磷矿作为研究背景，基于KJ212-1型全液压掘进钻车，开展了对树崆坪磷矿矿体及巷道掘进过程中的含碳泥质白云岩原位随钻参数的测量。结合室内单轴抗压强度试验，建立了单轴抗压强度Rc与钻进速度V、钻孔孔径D和回转压力M的关系模型，并对关系模型进行了验证。最后，将该模型代入坚固性系数f关系式中，得出爆破钻孔随钻参数与岩体可爆性分级关系模型。研究结果表明：通过该关系模型计算得出的单轴抗压强度与室内单轴压缩试验结果平均差异率为5.5%，说明其应用于实时预测岩体可爆性的合理性，该模型为岩体可爆性实时分级预测提供了一种更为方便、快捷的方法。岩体可爆性分级结果为白云质条带磷块岩、泥质条带磷块岩和致密条带磷块岩为中等可爆，含碳泥质白云岩为难爆，分级结果可为爆破技术参数选择提供重要依据。

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柴修伟（1980-），男，博士、教授、硕士研究生导师，从事爆破理论与技术、岩土工程与安全监测技术研究，（E-mail）。
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盛益明（1999-），男，硕士研究生，主要研究方向为爆破安全技术，（E-mail）。

SHENG Yi-ming (1999-), male, master's degree, main research direction is blasting safety technology, (E-mail) .

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盛益明（1999-），男，硕士研究生，主要研究方向为爆破安全技术，（E-mail）。

SHENG Yi-ming (1999-), male, master's degree, main research direction is blasting safety technology, (E-mail) .

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盛益明（1999-），男，硕士研究生，主要研究方向为爆破安全技术，（E-mail）。

SHENG Yi-ming (1999-), male, master's degree, main research direction is blasting safety technology, (E-mail) .

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Beijing: 中国矿业大学, 2014., articleTitle=露天矿安全高效爆破智能化动态设计系统的研究与应用, refAbstract=null), Reference(id=1241777727578116307, tenantId=1146029695717560320, journalId=1240670690148397066, articleId=1241777704106790939, doi=null, pmid=null, pmcid=null, year=2014, volume=null, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[17], rfOrder=30, authorNames=DING Xiao-hua, journalName=null, refType=null, unstructuredReference=DING Xiao-hua. Research and application of intelligent dynamic design for surface mine safety and efficient blasting[D]. Beijing: China University of Mining and Technology, 2014. 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Drilling test and indoor test results

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试件类型编号回转压力M/MPa冲击压力/MPa推进压力/MPa钻进速度V/（m·s-1）孔径D/mm抗压强度Rc/MPa
白云质条带磷块岩 S17.01370.0314558
S28.01370.0314559
S312.01370.0324558
S410.01370.0287694
S59.01370.0367651
致密条带磷块岩 S68.01370.0274582
S710.01370.0274584
S811.01370.02476117
S910.51370.02576111
S1010.01370.0307685
泥质条带磷块岩 S118.51370.0284577
S127.01370.0304564
S137.51370.0274581
S147.01370.0264586
S159.01370.0354540
含碳泥质白云岩 S168.01370.02245110
S177.51370.01945126
S187.01370.02445105
S197.51370.02545103
S208.01370.02145115
), ArticleFig(id=1241777720410051518, tenantId=1146029695717560320, journalId=1240670690148397066, articleId=1241777704106790939, language=CN, label=表1, caption=

钻探试验及室内试验结果

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试件类型编号回转压力M/MPa冲击压力/MPa推进压力/MPa钻进速度V/（m·s-1）孔径D/mm抗压强度Rc/MPa
白云质条带磷块岩 S17.01370.0314558
S28.01370.0314559
S312.01370.0324558
S410.01370.0287694
S59.01370.0367651
致密条带磷块岩 S68.01370.0274582
S710.01370.0274584
S811.01370.02476117
S910.51370.02576111
S1010.01370.0307685
泥质条带磷块岩 S118.51370.0284577
S127.01370.0304564
S137.51370.0274581
S147.01370.0264586
S159.01370.0354540
含碳泥质白云岩 S168.01370.02245110
S177.51370.01945126
S187.01370.02445105
S197.51370.02545103
S208.01370.02145115
), ArticleFig(id=1241777720519103433, tenantId=1146029695717560320, journalId=1240670690148397066, articleId=1241777704106790939, language=EN, label=Table 2, caption=

Table of predicted values and actual values

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试件类型编号回转压力M/MPa钻进速度V/（m·s-1）孔径D/mm预测抗压强度抗压强度Rc/MPa
白云质条带磷块岩 S590.0367646.4051
致密条带磷块岩 S10100.0307681.8785
泥质条带磷块岩 S1590.0354537.4540
含碳泥质白云岩 S2080.02145117.91115
), ArticleFig(id=1241777720636543956, tenantId=1146029695717560320, journalId=1240670690148397066, articleId=1241777704106790939, language=CN, label=表2, caption=

预测值与实际值对比表

, figureFileSmall=null, figureFileBig=null, tableContent=
试件类型编号回转压力M/MPa钻进速度V/（m·s-1）孔径D/mm预测抗压强度抗压强度Rc/MPa
白云质条带磷块岩 S590.0367646.4051
致密条带磷块岩 S10100.0307681.8785
泥质条带磷块岩 S1590.0354537.4540
含碳泥质白云岩 S2080.02145117.91115
), ArticleFig(id=1241777720720430041, tenantId=1146029695717560320, journalId=1240670690148397066, articleId=1241777704106790939, language=EN, label=Table 3, caption=

The classification table of rock blastability

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坚固性系数f可爆性级别典型类别
≤2.5极易爆Ⅰ
2.5<f≤6易爆Ⅱ
6<f≤10中等可爆Ⅲ
10<f≤18难爆Ⅳ
>18极难爆Ⅴ
), ArticleFig(id=1241777722230379488, tenantId=1146029695717560320, journalId=1240670690148397066, articleId=1241777704106790939, language=CN, label=表3, caption=

岩体可爆性分级表[17]

, figureFileSmall=null, figureFileBig=null, tableContent=
坚固性系数f可爆性级别典型类别
≤2.5极易爆Ⅰ
2.5<f≤6易爆Ⅱ
6<f≤10中等可爆Ⅲ
10<f≤18难爆Ⅳ
>18极难爆Ⅴ
), ArticleFig(id=1241777722326848488, tenantId=1146029695717560320, journalId=1240670690148397066, articleId=1241777704106790939, language=EN, label=Table 4, caption=

Classification results of rock blastability

, figureFileSmall=null, figureFileBig=null, tableContent=
试件类型样本编号实测抗压强度Rc/MPa预测抗压强度平均单轴抗压强度岩体可爆性分级
白云质条带磷块岩 S15859.2563.198Ⅲ
S25959.95
S35856.93
S49493.46
S55146.40
致密条带磷块岩 S68283.1395.612Ⅲ
S78484.52
S8117117.34
S9111111.20
S108581.87
泥质条带磷块岩 S117777.6870.230Ⅲ
S126465.05
S138182.78
S148688.23
S154037.41
含碳泥质白云岩 S16110112.11110.678Ⅳ
S17126129.16
S1810599.83
S1910394.38
S20115117.91
), ArticleFig(id=1241777722406540271, tenantId=1146029695717560320, journalId=1240670690148397066, articleId=1241777704106790939, language=CN, label=表4, caption=

岩石可爆性分级结果

, figureFileSmall=null, figureFileBig=null, tableContent=
试件类型样本编号实测抗压强度Rc/MPa预测抗压强度平均单轴抗压强度岩体可爆性分级
白云质条带磷块岩 S15859.2563.198Ⅲ
S25959.95
S35856.93
S49493.46
S55146.40
致密条带磷块岩 S68283.1395.612Ⅲ
S78484.52
S8117117.34
S9111111.20
S108581.87
泥质条带磷块岩 S117777.6870.230Ⅲ
S126465.05
S138182.78
S148688.23
S154037.41
含碳泥质白云岩 S16110112.11110.678Ⅳ
S17126129.16
S1810599.83
S1910394.38
S20115117.91
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磷矿地下爆破随钻参数与岩体可爆性关系模型研究
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盛益明 1 , 柴修伟 1 , 常志锋 2 , 刘建 2 , 李治全 2 , 向彬 2
爆破 | 矿岩爆破 2024,41(2): 120-126
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爆破 | 矿岩爆破 2024, 41(2): 120-126
磷矿地下爆破随钻参数与岩体可爆性关系模型研究
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盛益明1 , 柴修伟1 , 常志锋2, 刘建2, 李治全2, 向彬2
作者信息
  • 1.武汉工程大学　资源与安全工程学院，武汉　430073
  • 2.湖北宜化集团有限责任公司，宜昌　443099　

    • 盛益明（1999-），男，硕士研究生，主要研究方向为爆破安全技术，（E-mail）。

    SHENG Yi-ming (1999-), male, master's degree, main research direction is blasting safety technology, (E-mail) .

通讯作者:

柴修伟（1980-），男，博士、教授、硕士研究生导师，从事爆破理论与技术、岩土工程与安全监测技术研究，（E-mail）。
Modelling of Relationship between Drilling Parameters of Underground Blasting with Rock Blastability in Phosphate Mines
Yi-ming SHENG1 , Xiu-wei CHAI1 , Zhi-feng CHANG2, Jian LIU2, Zhi-quan LI2, Bin XIANG2
Affiliations
  • 1.School of Resources and Safety Engineering, Wuhan Institute of Technology, Wuhan 430073, China
  • 2.Hubei Yihua Group Limited Liability Company, Yichang 443099, China
出版时间: 2024-06-01 doi: 10.3963/j.issn.1001-487X.2024.02.015
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摘要
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岩体可爆性分级是确定劳动定额、爆破方案设计和控制炸药单耗的先决条件。为实现岩体可爆性的实时分级，针对宜昌磷矿目前采用的钻爆法施工，以宜昌树崆坪磷矿作为研究背景，基于KJ212-1型全液压掘进钻车，开展了对树崆坪磷矿矿体及巷道掘进过程中的含碳泥质白云岩原位随钻参数的测量。结合室内单轴抗压强度试验，建立了单轴抗压强度Rc与钻进速度V、钻孔孔径D和回转压力M的关系模型，并对关系模型进行了验证。最后，将该模型代入坚固性系数f关系式中，得出爆破钻孔随钻参数与岩体可爆性分级关系模型。研究结果表明：通过该关系模型计算得出的单轴抗压强度与室内单轴压缩试验结果平均差异率为5.5%，说明其应用于实时预测岩体可爆性的合理性，该模型为岩体可爆性实时分级预测提供了一种更为方便、快捷的方法。岩体可爆性分级结果为白云质条带磷块岩、泥质条带磷块岩和致密条带磷块岩为中等可爆，含碳泥质白云岩为难爆，分级结果可为爆破技术参数选择提供重要依据。

钻探参数  /  随钻测量  /  岩体可爆性  /  实时分级  /  线性拟合

Rock blastability classification is a prerequisite for determining labour quotas, designing blasting programmes and controlling the unit consumption of explosives. In order to realize a real-time grading of rock explodability, a measurement of in-situ drilling parameters of carbon-bearing muddy dolomite during the excavation process of ore body and roadway in the Shukongping phosphorus mine has been carried out based on the KJ212-1 full-hydraulic boring drilling truck. Combined with the indoor uniaxial compressive strength test, the relationship model between the uniaxial compressive strength Rc and the drilling speed V, the drilling hole diameter D and the rotary pressure M was respectively established and verified. Finally, the model is substituted into the solidity coefficient f relationship equation to derive a model for the relationship between the blasthole drill-following parameters and the rock blastability classification. The results of the study show that the average rate of difference between the uniaxial compressive strength calculated by the relational model and the results of the indoor uniaxial compression tests is 5.5%, which demonstrates the reasonableness of applying the model to the real-time prediction of rock blastability. This model provides a more convenient and fast method for real-time grading prediction of rock blastability. The results show that the dolomitic banded phosphorite, mud banded phosphorite and dense banded phosphorite are medium explosive, carbon-bearing mud dolomite is difficult to explode.

drilling parameters  /  measurement while drilling  /  rock blastability  /  real-time grading  /  linear fit
盛益明, 柴修伟, 常志锋, 刘建, 李治全, 向彬. 磷矿地下爆破随钻参数与岩体可爆性关系模型研究. 爆破, 2024 , 41 (2) : 120 -126 . DOI: 10.3963/j.issn.1001-487X.2024.02.015
Yi-ming SHENG, Xiu-wei CHAI, Zhi-feng CHANG, Jian LIU, Zhi-quan LI, Bin XIANG. Modelling of Relationship between Drilling Parameters of Underground Blasting with Rock Blastability in Phosphate Mines[J]. Blasting, 2024 , 41 (2) : 120 -126 . DOI: 10.3963/j.issn.1001-487X.2024.02.015
正文
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采用爆破方法使岩体发生破裂和损坏的难易程度称为岩体可爆性[1]。在爆破前对岩体可爆性进行分级，是实现钻爆智能化[2]、无人化远程操控的基础条件[3]，结合大数据技术和先进传感传输设备，进一步研究适应智慧矿山系统的矿岩体可爆性实时分级是极其迫切的。岩体可爆性分级方法主要分为单一指标法和多指标法两大类[4]，其中单一指标法主要有普氏系数法和可爆性指数法等[5,6]，多指标法主要有数学方法与人工智能算法等[7,8]。但由于地下工程中岩体物理力学性质变化复杂，采用上述两类方法均无法实现矿岩体可爆性的实时分级，严重影响工程进度，而随钻测量技术很好的解决了这一问题。
随钻测量是一种通过解译钻机推力、扭矩、转速、钻速等随钻参数变化，评价岩体结构特征和力学性质的原位测量技术[9]，可以利用钻孔过程中的随钻参数表征围岩体力学性质，弥补传统测量方法在时间上的滞后性。王琦、江贝等利用能量守恒定律[10,11]，得出岩石单位切削能与随钻参数的关系式，建立了岩石单轴抗压强度与岩石单位切削能关系模型。KAHRAMAN等建立了钻进速率与抗压强度及抗拉强度的关系式[12]，YANG等建立了转速、扭矩、推力、钻速、摩擦力与竖直线的夹角、钻头半径、刀具倾角及切削力倾角与岩石单轴抗压强度的关系[13]。王玉杰等利用自主研发的数字钻进测试系统[14]，建立了岩石数字钻进参数与单轴抗压强度的关系方程。
众多学者已经在随钻参数与力学性质参数关系的研究中取得了一定的成就，证明了通过监测分析随钻参数来反演岩石的力学性质变化是可行的。以湖北宜昌树崆坪磷矿为工程背景，对KJ212-1型全液压掘进钻车凿岩时的钻进参数收集，通过软件进行线性拟合，建立了钻机回转压力M、钻进速度V、孔径D与岩石单轴抗压强度Rc的关系方程，将该关系方程代入坚固性系数f关系式中，根据普氏分级方法得到岩体的可爆性等级。
1　爆破钻孔试验
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1.1　爆破钻孔试验设备
试验采用KJ212-1型全液压掘进钻车为树崆坪磷矿广泛使用的凿岩台车，该钻机适用于采矿和隧道掘进，可用于35 m2断面的硬岩掘进作业，如图1所示。
掘进钻车主要包括风水路系统、钻进系统及电动液压泵站三部分，其中最大冲击功率13 kW，最大冲击压力130 bar，最大回转压力150 bar，最大扭矩325 N·m。钻进系统可对冲击压力及推进压力进行调节与控制，回转压力等参数均由传感器监控。本次试验选用凿岩较为常用的45 mm及76 mm直径钮扣钻头具有钝化缓慢等优点，因此可不考虑钻头磨损造成的随钻参数变化。
单轴压缩试验采用电脑控制电液伺服万能试验机上加荷载作用下测得的结果，如图2所示，按照国际岩石力学学会试验规范ISRM开展岩石单轴抗压强度测试[15]。
1.2　掘进爆破试验方案
本次试验采用湖北宜昌树崆坪磷矿矿体及含碳泥质白云岩，矿体整体上具有三分结构，从上至下为上贫矿、中富矿和下贫矿。上贫矿位于矿层顶部，以白云质条带磷块岩为主；中富矿位于矿层中上部，以致密条带磷块岩为主；下贫矿位于矿层下部，主要为泥质条带磷块岩。
试验采用45 mm及76 mm钻头，对每类岩石进行5次钻进试验，记录钻进速度及回转压力，保持冲击压力及推进压力固定在13 MPa和7 MPa，并对矿岩体进行取样，制作成直径50 mm、高度100 mm的标准圆柱体。
2　钻探试验结果与分析
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2.1　试验结果取值
试验采用控制冲击压力和推进压力，监测钻进速度V和回转压力M，以两组不同类型岩石中的其中一组钻探试验绘制回转压力与时间关系曲线，如图3、图4所示。
从图3、图4可以看出，回转压力M随时间变化规律主要分为2个阶段：①在钻头进入岩体较浅时，钻机回转压力较小，但在短时间内会急剧上升，此段为上升阶段；②随着钻进深度的增加，回转压力进入稳定阶段，并不随着钻进深度的增加而发生变化。
通过试验，完成对回转压力M、冲击压力、推进压力、钻进速度V和孔径D等随钻参数的测量，回转压力选择稳定阶段的测量值。
2.2　钻探及室内试验结果
根据上述试验方案对现场展开系统性试验，得到各类岩石的随钻参数回转压力M、钻进速度V、孔径D，具体实验结果见表1。
3　模型建立及分析
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3.1　模型建立
基于钻探试验结果，结合室内单轴抗压试验得出的各试件单轴抗压强度Rc，首先建立钻进速度V与岩石单轴抗压强度Rc的关系方程，以钻进速度V为自变量，岩石单轴抗压强度Rc为因变量，绘制V与Rc散点图，并进行线性拟合，如图5所示。
由图5分析可知，钻进速度V与单轴抗压强度Rc之间存在线性关系，Rc整体呈现为随V增大而减小的趋势，关系式为
但拟合度R2=0.89101，拟合度不佳，而钻进速度与钻孔孔径及回转压力密切相关，因此将钻进速度、钻孔孔径和回转压力与岩石单轴抗压强度进行多元线性拟合，建立了单轴抗压强度Rc与钻进速度V、钻孔孔径D和回转压力M的关系模型
预测值与实际值误差如图6所示。
将钻进速度V、钻孔孔径D和回转压力M与岩石单轴抗压强度进行多元线性拟合，拟合度R2=0.97755，数据离散性较低，表明拟合度较好，且与钻进速度V与单轴抗压强度Rc线性拟合相比，拟合度更好。
3.2　模型验证分析
选出S5、S10、S15、S20四组试件对公式2的关系模型进行验证，计算结果与实际测量值对比见表2。
为定量评价该模型预测结果与常规单轴抗压强度试验测定结果之间的差异[10]，定义与Rc之间的差异率γ
式中：为计算得到的模型预测值；Rc为通过室内单轴压缩试验获得的试验值，绘制单轴抗压强度预测值与试验值对比如图7所示。
由图7可知：与Rc之间的差异率较小，所选取的4组验证方案差异率均在10%以内，且平均值为，证明该模型较为合理。
4　矿岩体可爆性分级
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根据苏联学者M M普罗托季雅科诺夫曾提出了岩石按坚固性系数f进行岩体可爆性分级[16]
式中：Rc为岩石试块的静载极限抗压强度，MPa。将公式（2）代入公式（4）中，得到矿岩体可爆性分级模型
f值越大，则表明岩体越难爆，岩体可爆性分级表如表3所示。
根据普氏分级方法，结合钻探试验所得到的岩石单轴抗压强度可完成矿岩体可爆性的实时分级，结论如表4所示。
根据表4得出的矿岩体可爆性分级结果表明白云质条带磷块岩、泥质条带磷块岩和致密条带磷块岩为中等可爆，含碳泥质白云岩为难爆。岩体可爆性普氏分级方法虽考虑因素不全面，但简单快捷，且结合随钻参数，可实现矿岩体可爆性的实时分级。
5　结论
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（1）以湖北宜昌树崆坪磷矿作为研究背景，基于KJ212-1型全液压掘进钻车，开展了对树崆坪磷矿矿体及巷道掘进过程中的含碳泥质白云岩原位随钻参数的测量，并结合室内试验，发现岩石单轴抗压强度Rc与钻进速度V成反比，但采用线性拟合效果不佳，因此选择建立单轴抗压强度Rc与钻进速度V、钻孔孔径D和回转压力M的关系模型。
（2）选取其中四组数据对建立的模型进行验证，通过该关系模型计算得出的单轴抗压强度与室内单轴压缩试验结果平均差异率为5.5%，说明该模型应用于预测单轴抗压强度是合理的。将建立的随钻参数与单轴抗压强度的关系模型代入坚固性系数f公式中，得到了矿岩体可爆性分级模型，矿岩体可爆性分级结果为白云质条带磷块岩、泥质条带磷块岩和致密条带磷块岩为中等可爆，含碳泥质白云岩为难爆。
（3）通过计算爆破钻孔过程中的随钻参数，可实现岩石单轴抗压强度的实时测量，在后续的研究中，随钻参数还可用来揭示抗拉强度、弹性模量、泊松比等其他力学性质，为方便、快捷、准确获得矿岩体可爆性等级提供了新的途径。
基金
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  • 2021年湖北省安全生产专项资金科技项目(SJZX20211004)
文献
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2024年第41卷第2期
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doi: 10.3963/j.issn.1001-487X.2024.02.015
  • 接收时间：2023-09-30
  • 首发时间：2026-03-20
  • 出版时间：2024-06-01
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  • 收稿日期：2023-09-30
基金
2021 Hubei Province Safety Production Special Fund Science and Technology Project(SJZX20211004)
2021年湖北省安全生产专项资金科技项目(SJZX20211004)
作者信息
    1.武汉工程大学　资源与安全工程学院，武汉　430073
    2.湖北宜化集团有限责任公司，宜昌　443099　

通讯作者:

柴修伟（1980-），男，博士、教授、硕士研究生导师，从事爆破理论与技术、岩土工程与安全监测技术研究，（E-mail）。
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2种不同金属材料的力学参数
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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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