• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

硬岩岩爆倾向性评价中强度降低率及脆性指标指数的测定与分类标准

Measurement and Classification Criteria of Strength Decrease Rate and Brittleness Indicator Index for Rockburst Proneness Evaluation of Hard Rocks.

作者信息

Du Kun, Yang Songge, Zhou Jian, Wang Lichang

机构信息

School of Resources and Safety Engineering, Central South University, Changsha 410083, China.

School of Geosciences and Info-Physics, Central South University, Changsha 410083, China.

出版信息

Materials (Basel). 2023 Apr 14;16(8):3101. doi: 10.3390/ma16083101.

DOI:10.3390/ma16083101
PMID:37109936
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10144335/
Abstract

Rockburst is one of the common geological hazards. It is of great significance to study the evaluation indexes and classification criteria of the bursting liability of hard rocks, which is important for the prediction and prevention of rockbursts in hard rocks. In this study, the evaluation of the rockburst tendency was conducted using two indoor non-energy indexes, namely the brittleness indicator (2) and the strength decrease rate (). The measuring methods of and as well as the classification criteria were analyzed. Firstly, the most rational calculation formulas for and were selected based on previous studies. The 2 equaled to the ratio between the difference and sum of uniaxial compressive strength and Brazilian tensile strength of rocks. The was the average stress decrease rate of the post-peak stage in uniaxial compression tests and equaled the uniaxial compressive strength dividing the duration time of post-peak rock failure in uniaxial compression tests. Secondly, the uniaxial compression tests of different rock types were designed and carried out, and the change trend of B and with the increase of loading rate in uniaxial compression tests were studied in detail. The results showed that after the loading rate was greater than 5 mm/min or 100 kN/min, the value was affected, limited by the loading rate, while the value was more affected by the strain rate. The displacement control, with a loading rate of 0.1-0.7 mm/min, was recommended for the measurement of and . The classification criteria of 2 and were proposed, and four grades of rockburst tendency were defined for and 2 according to the test results.

摘要

岩爆是常见的地质灾害之一。研究硬岩岩爆倾向性的评价指标和分类标准具有重要意义,这对硬岩岩爆的预测和防治至关重要。本研究采用两个室内非能量指标,即脆性指标(2)和强度降低率()对岩爆倾向性进行评价。分析了和的测量方法以及分类标准。首先,根据以往研究选取了最合理的和的计算公式。2等于岩石单轴抗压强度与巴西劈裂抗拉强度之差与和的比值。是单轴压缩试验峰后阶段的平均应力降低率,等于单轴抗压强度除以单轴压缩试验峰后岩石破坏的持续时间。其次,设计并进行了不同岩石类型的单轴压缩试验,详细研究了单轴压缩试验中B和随加载速率增加的变化趋势。结果表明,当加载速率大于5mm/min或100kN/min后,值受到影响,受加载速率限制,而值受应变率影响更大。建议采用0.1 - 0.7mm/min的加载速率进行位移控制来测量和。提出了2和的分类标准,并根据试验结果将和2的岩爆倾向性分为四个等级。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/04b0b9fd9f63/materials-16-03101-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/c433f3c4cb72/materials-16-03101-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/18e68f9e54eb/materials-16-03101-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/e0151035e0d8/materials-16-03101-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/40f38821ce04/materials-16-03101-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/17317c27c9db/materials-16-03101-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/0b2cce9bee23/materials-16-03101-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/36e2dc4f6432/materials-16-03101-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/18148a7f3305/materials-16-03101-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/cbc74f188583/materials-16-03101-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/c17e84cbb610/materials-16-03101-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/2ffec887dcc9/materials-16-03101-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/6fa76d9c901e/materials-16-03101-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/04b0b9fd9f63/materials-16-03101-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/c433f3c4cb72/materials-16-03101-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/18e68f9e54eb/materials-16-03101-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/e0151035e0d8/materials-16-03101-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/40f38821ce04/materials-16-03101-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/17317c27c9db/materials-16-03101-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/0b2cce9bee23/materials-16-03101-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/36e2dc4f6432/materials-16-03101-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/18148a7f3305/materials-16-03101-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/cbc74f188583/materials-16-03101-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/c17e84cbb610/materials-16-03101-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/2ffec887dcc9/materials-16-03101-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/6fa76d9c901e/materials-16-03101-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccf1/10144335/04b0b9fd9f63/materials-16-03101-g013.jpg

相似文献

1
Measurement and Classification Criteria of Strength Decrease Rate and Brittleness Indicator Index for Rockburst Proneness Evaluation of Hard Rocks.硬岩岩爆倾向性评价中强度降低率及脆性指标指数的测定与分类标准
Materials (Basel). 2023 Apr 14;16(8):3101. doi: 10.3390/ma16083101.
2
A Review of Mechanical Properties and Rockburst Investigation of Transversely Isotropic Rocks by Experimental Technique.
Materials (Basel). 2023 Apr 18;16(8):3183. doi: 10.3390/ma16083183.
3
Effects of coal's initial macro-cracks on rockburst tendency of rock-coal composite samples.煤的初始宏观裂纹对煤岩复合试样冲击倾向性的影响
R Soc Open Sci. 2019 Nov 6;6(11):181795. doi: 10.1098/rsos.181795. eCollection 2019 Nov.
4
Experimental Investigation of Pre-Flawed Rocks under Dynamic Loading: Insights from Fracturing Characteristics and Energy Evolution.动态加载下含预制缺陷岩石的试验研究:基于断裂特性与能量演化的见解
Materials (Basel). 2022 Dec 13;15(24):8920. doi: 10.3390/ma15248920.
5
Early estimation method of rockburst and large deformation of surrounding rock based on the deep borehole test.基于深钻孔测试的岩爆及围岩大变形早期预估方法
Heliyon. 2023 May 25;9(6):e16638. doi: 10.1016/j.heliyon.2023.e16638. eCollection 2023 Jun.
6
The risk assessment of rockburst intensity in the highway tunnel based on the variable fuzzy sets theory.基于可变模糊集理论的公路隧道岩爆强度风险评估。
Sci Rep. 2023 Mar 23;13(1):4755. doi: 10.1038/s41598-022-27058-1.
7
Acoustic emission features of granite from different rockburst areas in Sangzhuling Railway Tunnel.桑珠岭铁路隧道不同岩爆区域花岗岩的声发射特征
Heliyon. 2024 Mar 3;10(5):e27385. doi: 10.1016/j.heliyon.2024.e27385. eCollection 2024 Mar 15.
8
Mechanical properties of rock under uniaxial compression tests of different control modes and loading rates.不同控制模式和加载速率下单轴压缩试验下岩石的力学特性
Sci Rep. 2024 Jan 25;14(1):2164. doi: 10.1038/s41598-024-52631-1.
9
Intelligent prediction of rockburst in tunnels based on back propagation neural network integrated beetle antennae search algorithm.基于反向传播神经网络集成甲壳虫触角搜索算法的隧道岩爆智能预测。
Environ Sci Pollut Res Int. 2023 Mar;30(12):33960-33973. doi: 10.1007/s11356-022-24420-8. Epub 2022 Dec 11.
10
Comparative study of temperature effects on white sandstone and rockburst-like materials.对比研究温度对白沙岩和类岩爆材料的影响。
PLoS One. 2022 Dec 14;17(12):e0278782. doi: 10.1371/journal.pone.0278782. eCollection 2022.

本文引用的文献

1
Novel ensemble intelligence methodologies for rockburst assessment in complex and variable environments.新型集成智能方法在复杂多变环境下的岩爆评估。
Sci Rep. 2022 Feb 3;12(1):1844. doi: 10.1038/s41598-022-05594-0.
2
A prediction model on rockburst intensity grade based on variable weight and matter-element extension.基于变权与物元可拓的冲击地压强度分级预测模型
PLoS One. 2019 Jun 26;14(6):e0218525. doi: 10.1371/journal.pone.0218525. eCollection 2019.