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云锡大屯锡矿岩体力学参数的确定 总被引：5，自引：0，他引：5
阐述了岩体力学参数研究的重要性,系统地介绍了几种国内外常用的岩体力学参数的确定方法及其原理。以云锡大屯锡矿岩体力学参数研究为例,并以其室内试验得出的岩石物理力学参数和岩体质量评价RMR值为基础,采用这些方法对岩石物理力学参数进行工程折减弱化处理,计算得出其岩体力学参数。其结果对比分析及其推荐值的工程应用结果表明：将最新的Hoek-Brown准则、室内试验、M.Georgi法和费森科法四者相结合来进行分析,得出的岩体力学参数更为合理,提高了工程岩体力学计算精度。 相似文献
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《岩土力学》2017,(1):205-213
以赞比亚穆利亚希露天矿边坡为工程背景,在岩石力学试验以及现场勘察测绘数据的基础上,构建了以岩石单轴抗压强度、岩石质量指标和节理调查统计数据为输入参数的概率统计模型,并采用卡方检验对模型进行了吻合度检验。在广义Hoek-Brown准则的基础上,利用MATLAB编程及蒙特卡洛随机分析方法,由输入参数模拟获取节理岩体强度及变形参数的概率分布,得到各参数的取值范围(最小值/最大值)以及平均值、标准差等统计值。采用斯皮尔曼等级相关系数分析了强度及变形参数与各输入参数之间的相关关系。结合边坡工程实例,从破坏概率角度评价了该边坡工程的稳定性状态。该方法可充分考虑节理岩体参数的不确定性和变异性,可为实际工程安全决策提供重要的参考依据。 相似文献
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随着岩石力学及其相关学科的不断完善和发展以及对现行岩体力学中存在的有关问题的不断解决，岩石力学正逐步进入一个新的发展阶段──工程岩体力学阶段。工程岩体力学的理论体系主要包括：岩体结构的相对性、工程岩体的连续性、工程岩体的几何大变形、工程岩体的物性关系和物性参数等。 相似文献
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《地球科学进展》1991,6(3):102-102
本项成果是水利水电工程、建筑工程、铁道工程、矿山工程、国防工程中存在的地质工程(岩石地基、岩石边坡、隧道等)勘察、试验、设计、施工等的基础理论,也是地震、山崩、滑坡等地质灾害预报和防治的基础理论。 该项成果是孙广忠教授二十多年来组织、领导和参加三十余项大中型工程地质勘察、岩体力学试验研究及设计、施工实践的总结。该项成果系统的研究了岩体结构力学效应,研究了岩体结构对岩体变形、岩体破坏、岩体力学性质控制等方面一系列规律,提出了“岩体结构控制理论是岩体力学基础理论”、“岩体结构力学效应是岩体力学的力学基础”、“岩体结构分析方法和结构力学分析方法是岩体力学研究的基本方法”等一 相似文献
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本文是中国地质学会工程地质专业委员会和中国科学院页岩气与地质工程重点实验室第五届谷德振讲座主讲报告。本文简要回顾了谷德振先生岩体工程地质力学的核心价值和历史贡献,系统介绍了30年来统计岩体力学理论和应用技术探索对岩体工程地质力学的传承和发展。统计岩体力学借鉴经典统计物理学的思想方法,提出了岩体结构几何概率模型、断续介质连续等效的断裂力学能量原理、岩体结构-应力协同控制原理、岩体强度的弱环控制原理、断续裂隙网络渗流力学原理;建立了裂隙岩体本构模型、岩体全过程变形分析方法、高储能岩体特性与岩爆机理模型、圆形硐室围岩弹性变形解析解;发展了岩体数据现场采集技术与装备、全空间方向岩体结构参数、力学参数、渗透系数计算方法,以及各向异性岩体质量分级、工程岩体主动加固方法;开发了岩体工程参数计算系统和数值分析工具JointModel。统计岩体力学的建立对岩体工程地质力学和岩体力学理论与技术进步起到了重要的推进作用。 相似文献
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针对广义Hoek-Brown准则参数敏感性分析单因素法的局限性,提出利用正交试验法来研究准则参数对岩体力学参数的影响,该方法可以对各因素的影响进行综合性分析,避免单因素法的片面性。以龙桥特大桥5#拱座所在边坡为工程背景进行了基于正交试验的准则参数敏感性分析。结果表明:地质强度指标GSI对岩体的变形参数Em的影响最显著; 岩石抗压强度ci和岩体扰动系数D对岩体的强度参数C、的影响最显著; 总体来说,岩体力学参数对地质强度指标GSI与岩石抗压强度ci最敏感,对岩体扰动系数D次之,最后为岩石的Hoek-Brown参数mi; 并且准则参数之间无交互作用,相对独立。 相似文献
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对杨家坪煤炭采空区主要岩层进行了较系统的试验研究,包括岩体结构的野外调查、岩块与结构面室内试验及岩体力学参数经验估算,岩体结构面网络模拟等。对各种试验数据进行了分析整理,得到了岩块、结构面的物理力学性质参数。并用岩体工程分类及Hoek-Brown经验方法对各类岩体的力学参数进行了估算。在分析对比基础上,考虑了岩体所处地质条件,给出了各种岩体的计算参数建议值。有限元计算结果表明,建议参数值能较好地反映采空区岩体的力学性质。 相似文献
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鉴于目前关于节理岩体力学参数空间变异性表征及存在潜在滑移面边坡的可靠性问题研究较多,但对于岩质边坡力学参数空间变异性影响及开挖卸荷响应(变形与塑性区)不确定性分析的研究较为有限。提出考虑力学参数不确定性的岩质边坡开挖卸荷响应概率评价方法,该方法以室内岩石力学试验及现场地质勘察测绘数据为基础,利用Hoek-Brown经验准则与Monte Carlo分析手段,构建了以岩石单轴抗压强度(uniaxial compressive strength,简称UCS)、地质强度指标(geological strengthindex,简称GSI)和节理工程参数为输入的边坡岩体力学参数概率统计模型,并采用卡方检验进行模型的吻合度检验;基于点估计原理构建岩体力学参数组合方案,并结合数值模拟开展边坡开挖过程的仿真分析,获得边坡开挖后整体安全系数及位移及塑性区的概率分布。利用该方法对在建京秦高速沿线某路堑边坡岩体力学参数及开挖卸荷响应进行分析,得到了岩体强度、弹性模量、黏聚力与内摩擦角的取值及不确定性分布,采用点估计与FLAC3D模拟分析,得到了边坡安全系数及典型观测点的位移与塑性区分布结... 相似文献
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一、岩体工程的力学模型进展相似材料力学模型试验与数值分析、岩体室内外测试等是岩体工程稳定性问题研究的三种基本方法。实践证明,它们各具特点、相互配合和验证,是解决岩体稳定性问题的有效途径。岩体力学经历了视岩体为岩石材料的岩石力学阶 相似文献
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MDES2000型微钻实验装置可模拟真实钻进情况,可开展岩石研磨性与可钻性试验、金刚石钻头性能参数及寿命试验、优化钻进规程参数试验等室内的各种微钻实验研究工作。该实验装置可通过手动或程序控制完成模拟钻进工作,能够实现钻进过程中各项钻进参数（钻压、钻速、扭矩、转速及进尺）的监测、采集、处理及存储功能,还可建立钻进参数报表文件数据库。该实验装置对岩心钻探研究工作具有很好的实际指导意义。 相似文献
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以提高油田采油速度为目的的人工压裂裂缝施工改造,对当前广泛应用于求取岩石力学参数的常规测井资料法提出了更高的要求。提出三维岩石力学参数场随机模拟预测的方法,即以已知有限的常规测井资料计算出来的岩石力学参数曲线作为硬数据输入,以已知地震属性数据体及泥页岩水化和岩石环境参数数据作为软数据约束,选择序贯高斯模拟方法,随机模拟得到动态规律变化的岩石力学参数的三维空间数据场,然后由岩石力学参数的三维空间数据场预测空间任一位置的岩石力学参数在井上的测井响应,并把该反映动态规律变化的测井响应按照油田勘探开发的要求输出成特定格式,供生产和工程上使用。该方法为当前岩石力学参数的求取开辟了一条全新的途径,对勘探开发上制定完善的钻井、完井与油气开发方案和技术措施提供重要的指导作用。 相似文献
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Arno Zang Ove Stephansson Oliver Heidbach Silke Janouschkowetz 《Geotechnical and Geological Engineering》2012,30(3):625-646
Knowledge of the in situ stress state is of key importance for rock engineering. We inform the reader about the World Stress Map (WSM) database and its application to rock mechanics and rock engineering purpose, and in particular the orientation of maximum horizontal stress. We discuss the WSM and the quality ranking system of stress orientation data. We show one example of discrete-measured and computed-smoothed stress orientations from central and northern Europe with respect to relative plate velocity trajectories. We give first insights into ongoing development of a second, more Quantitative World Stress Map database which compiles globally rock-type specific stress magnitudes versus depth. We discuss the vertical stress component, and the lateral stress coefficient versus depth for different rock types. We display stress magnitudes in 2D and 3D stress space, and investigate stress ratios in relation to depth, lithology and tectonic faulting regime. 相似文献
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《地学前缘(英文版)》2021,12(5)
Rock mechanical parameters and their uncertainties are critical to rock stability analysis, engineering design, and safe construction in rock mechanics and engineering. The back analysis is widely adopted in rock engineering to determine the mechanical parameters of the surrounding rock mass, but this does not consider the uncertainty. This problem is addressed here by the proposed approach by developing a system of Bayesian inferences for updating mechanical parameters and their statistical properties using monitored field data, then integrating the monitored data, prior knowledge of geotechnical parameters,and a mechanical model of a rock tunnel using Markov chain Monte Carlo(MCMC) simulation. The proposed approach is illustrated by a circular tunnel with an analytical solution, which was then applied to an experimental tunnel in Goupitan Hydropower Station, China. The mechanical properties and strength parameters of the surrounding rock mass were modeled as random variables. The displacement was predicted with the aid of the parameters updated by Bayesian inferences and agreed closely with monitored displacements. It indicates that Bayesian inferences combined the monitored data into the tunnel model to update its parameters dynamically. Further study indicated that the performance of Bayesian inferences is improved greatly by regularly supplementing field monitoring data. Bayesian inference is a significant and new approach for determining the mechanical parameters of the surrounding rock mass in a tunnel model and contributes to safe construction in rock engineering. 相似文献
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Thomas M. Kreuzer Martina Wilde Birgit Terhorst Bodo Damm 《Earth Science Informatics》2017,10(4):507-515
Landslide research requires consistent and widespread data. Many countries within the European Union have national landslide inventories to fulfill these demands for their respective research. However, those inventories were usually not intended to provide the technical basis for automated process and risk analyses during their design phase. The ongoing development of Germany’s national landslide database offers the opportunity to do this differently. This paper introduces a landslide inventory system called WISL suitable for data handling as well as for novel automated process and risk analyses on a national scale. WISL is designated to form the technical infrastructure for a German national database. Its core consists of an open source relational database management system (PostgreSQL), standardized input and registration methods as well as integrated analyses modules, which avoid large data movement and allow for rapid risk analyses. We present proof-of-concept results of endangered infrastructure related to automated risk mappings based on topography and proximity of active landslides. The use of open source software and the application of a standardized input and data acquisition system for experts, coupled with custom analysis modules, constitutes a step toward automated risk maps by a mere ‘button-press’. Future developments for the inventory lie in the field of refining and inventing analysis modules and collecting data, for which WISL provides a firm technical base. 相似文献
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Computerization of Rock Engineering Systems Using Neural Networks with an Expert System 总被引：7，自引：1，他引：6
Summary With the Rock Engineering Systems (RES) methodology, rock mechanics and rock engineering problems are studied systematically
using a total systems approach, incorporating rock mass properties, interrelated parameters, complex interaction mechanisms
and dynamic behavioral modes. In this paper, a method of implementation and computerization of RES is considered, using neural
networks together with an expert system. The computerized RES starts with the data processing of rock mass properties and
boundary conditions and data base management of rock engineering case records. This step is followed by building and operating
parameter interaction matrices with the combined use of backpropagation networks and an expert system. Finally, a simulator
for modelling the dynamic process of rock engineering systems using the Hopfield network is incorporated. With the aid of
neural networks' learning capability and expert system's symbol-reasoning capability, the RES approach is implemented in an
“intelligent” mode. 相似文献