检索结果-南通市图书馆

Study on creep deformation and energy development of underground surrounding rock under four‐dimensional support

Deep Underground Science and Engineering 2024年第1期3卷 25-38页

作者： Zhanguo Ma Junyu Sun Peng Gong Pengfei Yan Nan Cui Ruichong Zhang School of Mechanics and Civil Engineering China University of Mining and TechnologyXuzhouChina State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering China University of Mining and TechnologyXuzhouChina Department of Mining Engineering Colorado School of MinesGoldenUSA

There is an urgent need to develop optimal solutions for deformation control of deep high‐stress roadways,one of the critical problems in underground *** previously proposed four‐dimensional support(hereinafter 4D support),as a new support technology,can set the roadway surrounding rock under three‐dimensional pressure in the new balanced structure,and prevent instability of surrounding rock in underground ***,the influence of roadway depth and creep deformation on the surrounding rock supported by 4D support is still *** study investigated the influence of roadway depth and creep deformation time on the instability of surrounding rock by analyzing the energy *** elastic strain energy was analyzed using the program redeveloped in *** numerical simulation results indicate that the combined support mode of 4D roof supports and conventional side supports is highly applicable to the stability control of surrounding rock with a roadway depth exceeding 520 *** the increase of roadway depth,4D support can effectively restrain the area and depth of plastic deformation in the surrounding ***,4D support limits the accumulation range and rate of elastic strain energy as the creep deformation time increases.4D support can effectively reduce the plastic deformation of roadway surrounding rock and maintain the stability for a long deformation period of 6 *** confirmed by in situ monitoring results,4D support is more effective for the long‐term stability control of surrounding rock than conventional support.

关键词： coal mines elastic strain energy four‐dimensional support large roadway depth long‐term stability control plastic deformation surrounding rock

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Heterogeneity identification method for surrounding rock of large-section rock tunnel faces based on support vector machine

引用

Railway Sciences 2023年第1期2卷 48-67页

作者： Wenhao Yi Mingnian Wang Jianjun Tong Siguang Zhao Jiawang Li Dengbin Gui Xiao Zhang Southwest Jiaotong University ChengduChina

Purpose–The purpose of the study is to quickly identify significant heterogeneity of surrounding rock of tunnel face that generally occurs during the construction of large-section rock tunnels of high-speed ***/methodology/approach–Relying on the support vector machine(SVM)-based classification model,the nominal classification of blastholes and nominal zoning and classification terms were used to demonstrate the heterogeneity identification method for the surrounding rock of tunnel face,and the identification calculation was carried out for the five test ***,the suggestions for local optimization of the support structures of large-section rock tunnels were put ***–The results show that compared with the two classification models based on neural networks,the SVM-based classification model has a higher classification accuracy when the sample size is small,and the average accuracy can reach 87.9%.After the samples are replaced,the SVM-based classification model can still reach the same accuracy,whose generalization ability is ***/value–By applying the identification method described in this paper,the significant heterogeneity characteristics of the surrounding rock in the process of two times of blasting were identified,and the identification results are basically consistent with the actual situation of the tunnel face at the end of blasting,and can provide a basis for local optimization of support parameters.

关键词： rock tunnel surrounding rock Heterogeneity Support vector machine High-speed railway

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A physical model study of surrounding rock failure near a fault under the influence of footwall coal mining

引用

International Journal of Coal Science & Technology 2021年第4期8卷 626-640页

作者： Shukun Zhang Lu Lu Ziming Wang Shuda Wang School of City and Architecture Engineering Zaozhuang UniversityZaozhuang 277160ShandongChina School of Civil Engineering Liaoning Technical UniversityFuxin 123000LiaoningChina

A study of the deformation of the surrounding rock and coal pillars near a fault under the influence of mining is conducted on a physical model for the design of coal pillars to support and maintain the roofs of adjacent fault *** research is based on the 15101 mining face in the Baiyangling Coal Mine,Shanxi,China,and uses simulation tests similar to digital speckle test technology to analyse the displacement,strain and vertical stress fields of surrounding rocks near faults to determine the influence of the coal pillar *** results are as *** surrounding rock of the roadway roof fails to form a balance hinge for the massive rock *** vertical displacement,vertical strain and other deformation of the surrounding rock near the fault increase steeply as the coal pillar width *** steep increase in deformation corresponds to a coal pillar width of 10 *** the coal pillar width is 7.5 m,the pressure on the surrounding rock near the footwall of the fault suddenly increases,while the pressure on the hanging wall near the fault increases by only 0.35 *** stress of the rock mass of the hanging wall is not completely shielded by the fault,and part of the load disturbance is still transmitted to the hanging wall via *** width of the fault coal pillars at the 15101 working face is determined to be 7.5 m,and the monitoring data verify the rationality of the fault coal pillars.

关键词： Fault Mining roadway surrounding rock Coal pillar Physical model

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Intelligent classification model of surrounding rock of tunnel using drilling and blasting method

引用

Underground Space 2021年第5期6卷 539-550页

作者： Mingnian Wang Siguang Zhao Jianjun Tong Zhilong Wang Meng Yao Jiawang Li Wenhao Yi Key Laboratory of Transportation Tunnel Engineering Ministry of EducationSouthwest Jiaotong UniversityChengdu 610031China School of Civil Engineering Southwest Jiaotong UniversityChengdu 610031China

Classification of surrounding rock is the cornerstone of tunnel design and *** traditional methods are mainly qualitative and manual and require extensive professional knowledge and engineering *** minimize the effect of the empirical judgment on the accuracy of surrounding rock classification,it is necessary to reduce human *** intelligent classification technique based on information technology and artificial intelligence could overcome these *** this regard,using 299 groups of drilling parameters collected automatically using intelligent drill jumbos in tunnels for the Zhengzhou-Wanzhou high-speed railway in China,an intelligent-classification surrounding-rock database is constructed in this *** on a machine learning algorithm,an intelligent classification model is then developed,which has an overall accuracy of 91.9%.Finally,using the core of the model,the intelligent classification system for the surrounding rock of drilled and blasted tunnels is integrated,and the system is carried by intelligent jumbos to perform automatic recording and transmission of drilling parameters and intelligent classification of the surrounding *** approach provides a foundation for the dynamic design and construction(both conventional and intelligent)of tunnels.

关键词： Drilled and blasted tunnel Drilling parameter Machine learning Intelligent classification surrounding rock

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Propagation characteristics of vibration waves induced in surrounding rock by tunneling blasting

引用

Journal of Mountain Science 2017年第12期14卷 2620-2630页

作者： chen shi-hai hu shuai-wei zhang zi-hua wu jian Huaqiao University Xiamen 361021China Fujian Research Centerfor Tunneling and Urban Underground Space Engineering Huaqiao UniversityXiamen 361020China

The effect of blasting vibration waves on surrounding rock and supporting structures is an important field in underground engineering. In this paper, the separation variable method is used to solve the displacement potential function for the propagation of the blasting vibration waves. In the axis coordinate system, the particle motion and stress change with axial distance, radial distance and time is obtained in surrounding rock. The peak particle velocity law in surrounding rock under different blast loads and surrounding rock parameters is *** addition, the particle vibration characteristics in the surrounding rock are studied using numerical simulations method. The results shows that the peak particle velocity in surrounding rock appears negative exponent attenuation with the increase of axial distance, but it appears positive and negative fluctuations in radial direction. This phenomenon is a new discovery and it has been rarely investigated before. Moreover, the peak particle velocity attenuates more quickly and intensely in the near blasting field,which means that the supporting structure in a shorter distance away from the heading face is vulnerable to the impact of blasting vibration. Theattenuation of blasting vibration velocity is closely related to charge length, blasting load amplitude,attenuation index and rock elastic modulus. The numerical simulation accomplishes the same results and then demonstrates the validity of theoretical results.

关键词： Tunneling blasting Blasting vibration wave surrounding rock Wave equation Vibration velocity

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Domino instability effect of surrounding rock-coal pillars in a room-and-pillar gob

引用

International Journal of Mining Science and Technology 2013年第6期23卷 913-918页

作者： Li Chong Xu Jinhai Wang Zhongliang Qin Shuai School of Mines Key Laboratory of Deep Coal Resource Mining of Ministry of EducationChina University of Mining&Technology State Key Laboratory of Geomechanics and Deep Underground Engineering China University of Mining&Technology State Key Laboratory of Coal Resources and Mine Safety China University of Mining&Technology

To discuss the domino instability effect and large area roof falling and roof accidents of surrounding rockcoal pillars in a room-and-pillar gob,the equilibrium equation for a roof-coal pillar-floor system with the influence of mining floor was developed based on the engineering conditions of the surrounding rock in a room-and-pillar gob in the 3^(-2)coal seam of Tanggonggou *** conditions of system instability and the relationship between system stability and system stiffness were analyzed from an energetic point of *** simulation using the discrete element software UDEC was also carried out to simulate conditions causing the domino effect on surrounding rock-coal pillars in a 3^(-2)room-and-pillar *** results show that:if we want the system to destabilize,the collective energy in roof-and-floor must be larger than that in the coal *** the stiffness of the coal pillars and the roof-and-floor are both greater than zero,the system is *** the stiffness of the coal pillars is negative but the summed stiffness of the coal pillars and roof-and-floor is larger than or equal to zero,the system is statically *** the sum of the coal pillars and the roof-floor stiffness is negative,the system suffers from severe *** equal advance distances of the coal mining face,the wider coal pillars can reduce the probability of domino type ***,the smaller width pillars can increase the instability *** type instability of surrounding rock-coal pillars is predicted to be unlikely when the width of coal pillars is not less than 8 m.

关键词： Domino effect surrounding rock Room-and-pillar Gob

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Intelligent direct analysis of physical and mechanical parameters of tunnel surrounding rock based on adaptive immunity algorithm and BP neural network

引用

Journal of Pharmaceutical Analysis 2009年第1期21卷 22-30页

作者： Xiao-rui Wang1,2, Yuan-han Wang1, Xiao-feng Jia31.School of Civil Engineering and Mechanics,Huazhong University of Science and Technology, Wuhan 430074,China 2.Department of Civil Engineering,Nanyang Institute of Technology,Nanyang 473004,China 3.Department of Chemistry and Bioengineering,Nanyang Institute of Technology,Nanyang 473004,China. School of Civil Engineering and Mechanics Huazhong University of Science and Technology Wuhan 430074 China Department of Civil Engineering Nanyang Institute of Technology Nanyang 473004 China Department of Chemistry and Bioengineering Nanyang Institute of Technology Nanyang 473004 China

Because of complexity and non-predictability of the tunnel surrounding rock, the problem with the determination of the physical and mechanical parameters of the surrounding rock has become a main obstacle to theoretical research and numerical analysis in tunnel engineering. During design, it is a frequent practice, therefore, to give recommended values by analog based on experience. It is a key point in current research to make use of the displacement back analytic method to comparatively accurately determine the parameters of the surrounding rock whereas artificial intelligence possesses an exceptionally strong capability of identifying, expressing and coping with such complex non-linear relationships. The parameters can be verified by searching the optimal network structure, using back analysis on measured data to search optimal parameters and performing direct computation of the obtained results. In the current paper, the direct analysis is performed with the biological emulation system and the software of Fast Lagrangian Analysis of Continua (FLAC3D. The high non-linearity, network reasoning and coupling ability of the neural network are employed. The output vector required of the training of the neural network is obtained with the numerical analysis software. And the overall space search is conducted by employing the Adaptive Immunity Algorithm. As a result, we are able to avoid the shortcoming that multiple parameters and optimized parameters are easy to fall into a local extremum. At the same time, the computing speed and efficiency are increased as well. Further, in the paper satisfactory conclusions are arrived at through the intelligent direct-back analysis on the monitored and measured data at the Erdaoya tunneling project. The results show that the physical and mechanical parameters obtained by the intelligent direct-back analysis proposed in the current paper have effectively improved the recommended values in the original prospecting data. This is of p

关键词： adaptive immunity algorithm BP neural network physical and mechanical parameters surrounding rock direct-back analysis

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Study on calculation of rock pressure for ultra-shallow tunnel in poor surrounding rock and its tunneling procedure

引用

Journal of Modern Transportation 2014年第1期22卷 1-11页

作者： Xiaojun Zhou Jinghe Wang Bentao Lin Key Laboratory of Transportation Tunnel Engineering of Ministry of Education School of Civil EngineeringSouthwest Jiaotong University The 2nd Institute of Civil and Architecture Engineering China Railway Eryuan Engineering Corporation Ltd.

A computational method of rock pressure applied to an ultra-shallow tunnel is presented by key block theory, and its mathematical formula is proposed according to a mechanical tunnel model with super-shallow depth. Theoretical analysis shows that the tunnel is subject to asymmetric rock pressure due to oblique topography. The rock pressure applied to the tunnel crown and sidewall is closely related to the surrounding rock bulk density, tunnel size, depth and angle of oblique ground slope. The rock pressure applied to the tunnel crown is much greater than that to the sidewalls, and the load applied to the left side-wall is also greater than that to the right sidewall. Mean-while, the safety of the lining for an ultra-shallow tunnel in strata with inclined surface is affected by rock pressure and tunnel support parameters. Steel pipe grouting from ground surface is used to consolidate the unfavorable surrounding rock before tunnel excavation, and the reinforcing scope is proposed according to the analysis of the asymmetric load induced by tunnel excavation in weak rock with inclined ground surface. The tunneling procedure of bench cut method with pipe roof protection is still discussed and carried out in this paper according to the special geological condition. The method and tunneling procedure have been successfully utilized to design and drive a real expressway tunnel. The practice in building the super-shallow tunnel＆amp;nbsp;has proved the feasibility of the calculation method and tunneling procedure presented in this paper.

关键词： Ultra-shallow tunnel Asymmetric rockpressure surrounding rock rock treatment Tunnelingmethod

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

THE THEORY OF SUPPORTING BROKEN ZONE IN surrounding rock

引用

International Journal of Mining Science and Technology 1991年 66-73页

作者：董方庭郭志宏兰冰

The first topic discussed in this paper is to evaluate the present supporting theories, among which the typical two are collapse arch and elasto-plastic theories. The former is rather Iimited in practical application ,and the latter is built up on some assumptions which is inconsistent with the reality ,for it is of no need to support a roadway of which the surrounding rock is in elasto-plastic state. The second topic is to prove the objective existence of the broken zone in surrounding rock (BZSR) by a series of laboratory experiments and field measurements. The paper indicates that the object to be supported mainly is the bulking or expanding force resulted from the development of BZSR. This is remarkably different from the existing points of view which have been generally recognized nowadays. So far ,this theory has been tested in supporting more than ten thousand meters roadways located in various strata and has proved itself to have a great technoeconomical benefit.

关键词： roadway support rock mass strengthening roadway deformation broken zone surrounding rock

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Stability analysis of the oil surrounding rock in oil storage cavern by Modified Hoek-Brown strength reduction method

Stability analysis of the oil surrounding rock in oil storag...

引用

2012年海峡两岸破坏科学/材料试验学术会议

作者： Benfu YU Yifei YAN Lisong ZHANG Xiangzhen YAN College of Pipeline and Civil Engineering China University of Petroleum

The failure of surrounding rock in oil storage cavern can be seen as the processes that the deformations of rock cavern convert from continuous gradual change system to catastrophe state,which are typical nonlinear catastrophe *** the nonlinear failure characteristic of surrounding rock,the catastrophe model is proposed to obtain the stability factors of surrounding rock based on modified Hoek-Brown strength reduction method and catastrophe *** can improve the accuracy of stability factors obtained by numerical simulations.A comparison of this model with the result calculated by the existing computation example is made. In addition,the influences of cavern depth,cavern spacing,pore pressure,and time on the stability factors are *** results showed that the model is precise and correct,and can meet the actual engineering *** stability factors are equidirectional with the increase of cavern spacing,but reverse to the increase of cavern depth,pore pressure and time.

关键词： surrounding rock modified Hoek-Brown strength reduction method catastrophe theory safety factor

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：