Geotechnical assessments of the stability of slopes at the Cakmakkaya and Damar open pit mines (Turkey): a case study

2009 ◽  
Vol 61 (4) ◽  
pp. 741-755 ◽  
Author(s):  
Fehmi Arikan ◽  
Fatih Yoleri ◽  
Sureyya Sezer ◽  
Dincer Caglan ◽  
Bengu Biliyul
Keyword(s):  
Open Pit ◽  
Open Pit Mines ◽  
Stability Of Slopes ◽  
The Stability

scholarly journals Exploring the Relation between Seismic Coefficient and Rock Properties Through Field Measurements and Empirical Model for Evaluating the Effect of Blast-Induced Ground Vibration in Open- Pit Mines: A Case Study at the Thuong Tan III Quarry (Vietnam)

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Quang Hieu TRAN
Keyword(s):  
Empirical Model ◽  
Empirical Equation ◽  
Ground Vibration ◽  
Field Measurements ◽  
Open Pit ◽  
Rock Properties ◽  
Open Pit Mines ◽  
Surrounding Environment ◽  
The Stability

Blasting is one of the most effective methods for fragmenting rock in quarries. Nevertheless, itsadverse effects are significant, especially blast-induced ground vibration. Field measurement andempirical equations are simple methods to determine and estimate the intensity of blast-induced groundvibration. However, we cannot evaluate the effects of blast-induced ground vibration on the surroundingenvironment based on these outcomes. Therefore, this study explores the relation between seismiccoefficient and rock properties through field measurements and an empirical model for evaluating theeffect of blast-induced ground vibration in open-pit mines. Accordingly, the seismic coefficient (K) isconsidered the main objective in this study. Firstly, it was determined based on the rock properties.Subsequently, an empirical model for estimating blast-induced ground vibration was developed based onfield measurements. This empirical equation was then expanded to determine K to check whether itmatches the determined K by the rock properties. Finally, it was used as the threshold to determine themaximum explosive charged per delay to ensure the safety of the surrounding environment from blastinducedground vibration. For this aim, the Thuong Tan III quarry (in Binh Duong province, Vietnam)was selected as a case study. Fifth-teen blasting events with a total of 75 blast-induced ground vibrationvalues were recorded and collected. An empirical equation for estimating blast-induced ground vibrationwas then developed based on the collected dataset, and K was determined in the range of 539 to 713 forthe Thuong Tan III quarry. Based on the measured blast-induced ground vibrations, developed empiricalmodel, and K values, the Phase 2 software was applied to simulate the effects of blast-induced groundvibration on the stability of slopes as one of the impacts on the surrounding environment. From thesimulation results, we can determine the maximum explosive charged per delay for each type of rock toensure the stability of the slope.

Research on 2D Limit Equilibrium Method of Slopes Considering the Effect of Horizontal In Situ Stress

2013 ◽  
Vol 671-674 ◽  
pp. 245-250
Author(s):  
Wen Hui Tan ◽  
Ya Liang Li ◽  
Cong Cong Li
Keyword(s):  
Limit Equilibrium ◽  
Limit Equilibrium Method ◽  
In Situ Stress ◽  
Open Pit ◽  
Open Pit Mines ◽  
Equilibrium Method ◽  
Iron Mine ◽  
The Stability ◽  
Slice Method

At present, in-situ stress was not considered in Limit Equilibrium Method (LEM) of slopes, the influence of in-situ stress is very small on the stability of conventional slopes, but in deep-depressed open-pit mines, the influence should not be neglected. Formula for calculating the Factor of Safety (FOS) under the effect of horizontal in-situ stress was deduced using General Slice Method (GSM) of two-dimensional (2D) limit equilibrium method in this paper，a corresponding program SSLOPE was built, and the software was used in a deep- depressed open-pit iron mine. The results show that the FOS of the slope decreased by 20% when horizontal in-situ stress is considered, some reinforcements must be taken. Therefore, the influence of in-situ stress on slope stability should be taken into account in deep open –pit mines.

scholarly journals Mineral Classification of Land Surface Using Multispectral LWIR and Hyperspectral SWIR Remote-Sensing Data. A Case Study over the Sokolov Lignite Open-Pit Mines, the Czech Republic

2014 ◽  
Vol 6 (8) ◽  
pp. 7005-7025 ◽  
Author(s):  
Gila Notesco ◽  
Veronika Kopačková ◽  
Petr Rojík ◽  
Guy Schwartz ◽  
Ido Livne ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Czech Republic ◽  
Land Surface ◽  
Remote Sensing Data ◽  
Open Pit ◽  
Open Pit Mines ◽  
The Czech Republic ◽  
Sensing Data

scholarly journals Inter-ramp and bench design of open-pit mines: the Portage pit case study

2011 ◽  
Vol 48 (11) ◽  
pp. 1601-1615 ◽  
Author(s):  
Martin Grenon ◽  
Amélie-Julie Laflamme
Keyword(s):  
Slope Stability ◽  
Software Tool ◽  
Open Pit ◽  
Mine Design ◽  
Robust Algorithms ◽  
Structural Domains ◽  
Open Pit Mines ◽  
Susceptibility Maps ◽  
Database Structure

Using a case study, this paper presents an integrated methodology for assessing structural slope stability at the inter-ramp and bench levels. Robust algorithms have been developed and implemented to compute, at inter-ramp and bench levels, slope orientations and slope stability using input data compatible with a commercially available mine-design software tool database structure. Multi-criteria stability analyses were performed based on various design criteria. Susceptibility maps were produced enabling the identification of zones of concern in the designed pit. The obtained results suggest that inter-ramp angles do not present instability concerns over the entire pit surface. At bench levels, potential instability zones were identified within two structural domains totalling 6% of the total pit surface.

scholarly journals Failure of Rock Slopes With Intermittent Joints: Failure Process and Stability Calculation Models

2021 ◽  
Author(s):  
Zihan Zhou ◽  
Yanjun Shen ◽  
Zhonghui Chen
Keyword(s):  
Inclination Angle ◽  
Failure Process ◽  
Open Pit ◽  
Rock Slopes ◽  
Type B ◽  
Stability Calculation ◽  
Open Pit Mines ◽  
Type C ◽  
The Stability ◽  
Joint Inclination

Abstract Rock slopes with intermittent joints in open-pit mines are complex geological bodies composed of intact rock and discontinuous structural planes, and their stability analysis are necessary for mine disaster prevention. In this study, a series of base friction tests were performed to determine the failure process and displacement field evolution of rock slopes with intermittent joints using the speckle technique of a noncontact measurement system. Next, stability calculation models of the slopes were established from the energy perspective using the plastic limit analysis theory, and the effects of the joint inclination angle and coalescence coefficient of rock bridges on the slope stability were evaluated. The four main conclusions are as follows. (1) The failure of rock slopes with intermittent joints shows the feature of collapse-lower traction-upper push. (2) Based on the failure modes of rock bridges in slopes, the failure of rock slopes with intermittent joints could be divided into three types: tensile coalescence (Type A), shear coalescence (Type B), and tensile–shear coalescence (Type C). (3) Among the three slope types, the stability of the Type A slope is significantly influenced by rock cohesion, whereas that the Type B slope is significantly influenced by joint cohesion. The stability of the Type C slope is significantly influenced by the joint inclination angle and joint friction angle. (4) The local-stable slope is unstable while the first through-tensile crack in the zone of the potential sliding body higher than the critical instability height appeared. This study guides the stability evaluation and instability prediction of jointed rock slopes in open-pit mines.

scholarly journals Calibration of a Three-dimensional slope stability evaluation in Brazilian iron open pit mine

2021 ◽  
Author(s):  
Vidal Félix Navarro Torres ◽  
Rodrigo Dockendorff ◽  
Juan Manuel Girao Sotomayor ◽  
Cristian Castro ◽  
Aristotelina Ferreira da Silva
Keyword(s):  
Three Dimensional ◽  
Structural Features ◽  
Open Pit ◽  
Dimensional Model ◽  
Three Dimensional Model ◽  
Strength Parameters ◽  
Dimensional Section ◽  
The Stability ◽  
Evaluation Techniques

Abstract It has historically been frequent among geotechnical practitioners, that the stability analysis of the slopes of an open pit is performed using a two dimensional section representing the highest and steepest walls within a certain geological setting. However, the literature shows that to predict rupture events in an open pit, a three-dimensional analysis would better represent the actual conditions, as the spatial distribution of the lithology and the structural features play an important role when defining the stability of the slopes. This paper presents the case study of an open it located in Brazil, which experienced instabilities between the years 2001-2019. An evaluation of the behavior of the open pit was performed by calibrating the strength parameters to represent the best documented rupture events. The three-dimensional model was made using the FLAC3D software. The results show that there is a good correlation between the results of the model and the reports of past instabilities. Finally, recommendations are presented for the inter-ramp angles for each lithology based on the calibrated stability analyzes performed. This work seeks to contribute to the knowledge in evaluation techniques for the three-dimensional behavior of open pits.

scholarly journals Detecting drainage pitfalls in open-pit mines and haul roads using UAV-photogrammetry

DYNA ◽  
2021 ◽  
Vol 88 (216) ◽  
pp. 190-195
Author(s):  
Felipe Dille Benevenuti ◽  
Rodrigo De Lemos Peroni
Keyword(s):  
Three Dimensional ◽  
Open Pit ◽  
Road Maintenance ◽  
Open Pit Mines ◽  
Cycle Times ◽  
Course Material ◽  
Aerial Vehicle ◽  
Haul Road ◽  
Elevation Model

Open-pit mines generally have operational problems such as puddling and inappropriate water flow over haul roads, particularly if located in areas with high rainfall indices. These situations increase truck cycle times, promote rapid deterioration of haul-road wearing-course material, reduce productivity due to downtime and increase road maintenance. In addition, operational costs are raised as the frequency of truck maintenance and tire failures also increase. The use of a high-resolution three-dimensional elevation model, created based on Unmanned Aerial Vehicle (UAV) photogrammetry, has been shown to be an effective technique to detect anomalies in a fast and precise way. With the proposed approach, it is possible to diagnose haul-road conditions after rainfall or to anticipate the potential occurrence of such anomalies before they become a greater problem. This diagnosis can then be used to prioritize maintenance activities in open-pit mines. To describe the methodology, a case study is presented demonstrating and validating the results obtained.

scholarly journals Application of the k - nearest neighbors algorithm for predicting blast - induced ground vibration in open - pit coal mines: a case study

2020 ◽  
Vol 61 (6) ◽  
pp. 22-29
Author(s):  
Hoang Nguyen . ◽  
Keyword(s):  
Artificial Intelligence ◽  
Coal Mine ◽  
Empirical Model ◽  
Ground Vibration ◽  
Nearest Neighbors ◽  
Superior Performance ◽  
Open Pit ◽  
K Nearest Neighbors ◽  
Open Pit Mines

Blasting is considered as one of the most effective methods for rock fragmentation in open - pit mines. However, its side effects are significant, especially blast - induced ground vibration. Therefore, this study aims to develop and apply artificial intelligence in predicting blast - induced ground vibration in open - pit mines. Indeed, the k - nearest neighbors (KNN) algorithm was taken into account and developed for predicting blast - induced ground vibration at the Deo Nai open - pit coal mine (Vietnam) as a case study. An empirical model (i.e., USBM) was also developed to compare with the developed KNN model aiming to highlight the advantage of the KNN model. Accordingly, 194 blasting events were collected and analyzed for this aim. This database was then divided into two parts, 80% for training and 20% for testing. The MinMax scale and 10 - fold cross - validation techniques were applied to improve the accuracy, as well as avoid overfitting of the KNN model. Root - mean - squared error (RMSE) and determination coefficient (R2) were used as the performance metrics for models’ evaluation and comparison purposes. The results indicated that the KNN model yielded better superior performance than those of the USBM empirical model with an RMSE of 1.157 and R2 of 0.967. In contrast, the USBM model only provided a weak performance with an RMSE of 4.205 and R2 of 0.416. With the obtained results, the KNN can be introduced as a potential artificial intelligence model for predicting and controlling blast - induced ground vibration in practical engineering, especially at the Deo Nai open - pit coal mine.

Forecasting landslide at slope-scale: past achievements, present challenges and future perspectives

2020 ◽  
Author(s):  
Emanuele Intrieri ◽  
Tommaso Carlà ◽  
Giovanni Gigli ◽  
Nicola Casagli
Keyword(s):  
Applied Mathematics ◽  
Warning System ◽  
Open Pit ◽  
Economic Losses ◽  
Open Pit Mines ◽  
Recent Advancement ◽  
Future Challenges ◽  
Set Up ◽  
The Stability ◽  
Kinematics Parameters

<p>In general, the most reliable parameters to forecast the occurrence of a landslide are kinematics parameters, such as displacement, velocity and acceleration, since they represent the direct indicator of the stability conditions of a slope. Despite recent advancement in satellite interferometry, the highest temporal resolution, necessary to set up an effective early warning system, are still achievable from ground-based instrumentation.</p><p>Within this framework a few methods to forecast the time of failure of landslides at slope-scale have been developed in the last decades and, in many instances, they have been successfully used to prevent casualties and economic losses.</p><p>Common applications include public safety situations and open-pit mines, for which accurate warnings are crucial to protect workers and at the same time avoid unnecessary interruptions of the extraction activities.</p><p>In this work, a review of the most relevant kinematics-based forecasting methods is presented. Some examples are shown to illustrate the respective advantages, limitations and range of applicability of each method. Future challenges, trends and opportunities provided by technological innovations and scientific advances, also in related fields such as Material Science and Applied Mathematics, are also presented.</p>

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