A Spatial Numerical Approach for Heterogeneous Slope Stability Analysis in Open Pit Mines
露天矿非均质边坡稳定性分析的空间数值方法
基本信息
- 批准号:RGPIN-2014-03992
- 负责人:
- 金额:$ 1.75万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2017
- 资助国家:加拿大
- 起止时间:2017-01-01 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
It is common practice in the preliminary stages of pit slope design to consider the engineering mechanical properties of rock masses, encountered at the mine site, as constant. The average parameter values obtained from sampling of each rock mass are considered to be characteristic of the mechanical properties of that rock unit. Deterministic conventional techniques used to characterize the engineering mechanical properties of rock masses take into account neither the spatial fluctuations of rock mass properties nor the uncertainty in the properties. This can result in over- or under-estimation of engineering rock mass properties and can have a significant impact on the results of any slope stability analysis. Under-estimation of engineering rock mass properties can result in the under-estimation of safety factors in pit slope design, entailing unnecessary stripping costs and imposing extra time and operational constraints. On the other hand, over-estimation of engineering rock mass properties can lead to the design of pit slopes with a higher risk of instability. This research project aims to develop new advanced modeling approaches that will allow incorporation of the spatial variability of rock mass properties into the pit slope design process. The main objective of this work is to advance the understanding of the influence of spatial variability and anisotropy of rock masses on the mechanics of rock slope failure. This methodology would allow the inherent heterogeneity of rock masses to be taken into account in open pit mine planning and design, on the understanding that more accurate knowledge of the spatial distribution of rock mass mechanical properties promotes safe and economic pit design.In the course of this research project, the geotechnical information (borehole database, ground mapping and core testing information) from two open pit mine sites will be used as known values of rock mass mechanical properties. The geological and geotechnical field information allows the boundaries and contacts of different geotechnical zones in the study area to be identified. In practice, each domain takes the form of a 3D solid model or envelope. This will be followed by division of the geotechnical domains into 3D blocks. A geostatistical simulation approach will be used to generate spatially variable properties of rock mass, based on the available sampling data. Several realizations of the spatial variability of the geomechanical properties will be created in the form of 3D block models. These block models together with discrete fracture network models will be used as inputs for generation of 3D continuum and brittle fracture numerical models for rock slope stability analysis. A Monte-Carlo simulation approach will be used for slope stability analyses of the stochastic numerical models. This allows to relate probability of slope failure to spatial variability of geomechanical properties and consequently better quantification of uncertainty and risk. These innovative spatial numerical models enable more effective assessment of pit slope design. Consequently, this will have a very positive impact on the economic and technical aspect of open pit mine planning and design.
在矿坑边坡设计的初步阶段,通常的做法是将矿山现场遇到的岩体的工程力学性质视为常数。从每个岩体的取样中获得的平均参数值被认为是该岩石单元的力学特性的特征。确定性的传统技术用于表征岩体的工程力学性质,既不考虑岩体性质的空间波动,也不考虑性质的不确定性。这可能导致工程岩体性质的高估或低估,并可能对任何边坡稳定性分析的结果产生重大影响。低估工程岩体性质可能导致低估坑边坡设计中的安全系数,从而导致不必要的剥离成本,并施加额外的时间和操作限制。另一方面,对工程岩体性质的过高估计会导致设计的基坑边坡具有更高的失稳风险。该研究项目旨在开发新的先进建模方法,将允许将岩体属性的空间变异性纳入坑边坡设计过程。这项工作的主要目的是提高对岩石边坡破坏力学的空间变异性和各向异性的影响的理解。这种方法将允许在露天矿规划和设计中考虑岩体的固有异质性,因为更准确地了解岩体力学性质的空间分布有助于促进安全和经济的矿井设计。两个露天矿的钻孔数据库、地面测绘和岩心测试信息将被用作岩体力学性质的已知值。地质和岩土工程领域的信息允许在研究区域的不同岩土工程区的边界和接触被确定。在实践中,每个域采用3D实体模型或包络的形式。随后将岩土领域划分为3D块。根据现有的抽样数据,将采用地质统计学模拟方法生成岩体的空间可变特性。地质力学性质的空间变异性的几个实现将以3D块体模型的形式创建。这些块体模型连同离散裂隙网络模型将被用作生成用于岩质边坡稳定性分析的三维连续体和脆性断裂数值模型的输入。采用蒙特-卡罗模拟方法对随机数值模型进行边坡稳定性分析。这使得边坡破坏的概率与地质力学性质的空间变异性相关,从而更好地量化不确定性和风险。这些创新的空间数值模型可以更有效地评估基坑边坡设计。因此,这将对露天矿规划和设计的经济和技术方面产生非常积极的影响。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Esmaeili, Kamran其他文献
A deep learning approach for rock fragmentation analysis
- DOI:
10.1016/j.ijrmms.2021.104839 - 发表时间:
2021-06-25 - 期刊:
- 影响因子:7.2
- 作者:
Bamford, Thomas;Esmaeili, Kamran;Schoellig, Angela P. - 通讯作者:
Schoellig, Angela P.
Continuous Monitoring and Improvement of the Blasting Process in Open Pit Mines Using Unmanned Aerial Vehicle Techniques
- DOI:
10.3390/rs12172801 - 发表时间:
2020-09-01 - 期刊:
- 影响因子:5
- 作者:
Bamford, Thomas;Medinac, Filip;Esmaeili, Kamran - 通讯作者:
Esmaeili, Kamran
Discontinuous Modeling of Roof Strata Caving in a Mechanized Longwall Mine in Tabas Coal Mine
- DOI:
10.1061/(asce)gm.1943-5622.0002337 - 发表时间:
2022-05-01 - 期刊:
- 影响因子:3.7
- 作者:
Arasteh, Hossein;Esmaeili, Kamran;Farsangi, Mohammad Ali Ebrahimi - 通讯作者:
Farsangi, Mohammad Ali Ebrahimi
An analytical solution for analysis of toppling-slumping failure in rock slopes
- DOI:
10.1016/j.enggeo.2019.105396 - 发表时间:
2020-02-01 - 期刊:
- 影响因子:7.4
- 作者:
Haghgouei, Hadi;Kargar, Ali Reza;Esmaeili, Kamran - 通讯作者:
Esmaeili, Kamran
Esmaeili, Kamran的其他文献
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{{ truncateString('Esmaeili, Kamran', 18)}}的其他基金
Predicting geological and geomechanical rock properties using data analytics and multi-sensor core logging data
使用数据分析和多传感器岩心测井数据预测地质和地质力学岩石特性
- 批准号:
RGPIN-2020-06196 - 财政年份:2022
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
Predicting geological and geomechanical rock properties using data analytics and multi-sensor core logging data
使用数据分析和多传感器岩心测井数据预测地质和地质力学岩石特性
- 批准号:
RGPIN-2020-06196 - 财政年份:2021
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
Automated Geological and Structural Mapping of Open Pit Mines using Unmanned Aerial Vehicle (UAV) Systems and Machine Learning
使用无人机 (UAV) 系统和机器学习自动绘制露天矿地质和结构测绘
- 批准号:
561041-2020 - 财政年份:2021
- 资助金额:
$ 1.75万 - 项目类别:
Alliance Grants
Development of rapid and automated remote sensing methods for ground engagement equipment enabling selective mining
开发用于地面接触设备的快速自动化遥感方法,以实现选择性采矿
- 批准号:
561062-2020 - 财政年份:2021
- 资助金额:
$ 1.75万 - 项目类别:
Alliance Grants
Predicting geological and geomechanical rock properties using data analytics and multi-sensor core logging data
使用数据分析和多传感器岩心测井数据预测地质和地质力学岩石特性
- 批准号:
RGPIN-2020-06196 - 财政年份:2020
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
A Spatial Numerical Approach for Heterogeneous Slope Stability Analysis in Open Pit Mines
露天矿非均质边坡稳定性分析的空间数值方法
- 批准号:
RGPIN-2014-03992 - 财政年份:2019
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
A Spatial Numerical Approach for Heterogeneous Slope Stability Analysis in Open Pit Mines
露天矿非均质边坡稳定性分析的空间数值方法
- 批准号:
RGPIN-2014-03992 - 财政年份:2018
- 资助金额:
$ 1.75万 - 项目类别:
Discovery Grants Program - Individual
Development of unmanned aerial vehicle systems for real-time mining data acquisition and decision making
开发实时采矿数据采集和决策的无人机系统
- 批准号:
508741-2017 - 财政年份:2018
- 资助金额:
$ 1.75万 - 项目类别:
Collaborative Research and Development Grants
Characterizing the effect of micro and macro heterogeneity of rock on its comminution behaviour
表征岩石微观和宏观非均质性对其破碎行为的影响
- 批准号:
500310-2016 - 财政年份:2017
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$ 1.75万 - 项目类别:
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Improving blast-induced rock fragmentation in Milton Quarry
改善米尔顿采石场爆炸引起的岩石破碎
- 批准号:
514506-2017 - 财政年份:2017
- 资助金额:
$ 1.75万 - 项目类别:
Engage Grants Program
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