The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Zhigang Tao - One of the best experts on this subject based on the ideXlab platform.
-
prediction of deep Rock Mass Quality and spatial distribution law of open pit gold mine based on 3d geological modeling
Geotechnical and Geological Engineering, 2021Co-Authors: Zhigang Tao, Fangzheng Fan, Xiaojie Yang, Ziyang Guo, Xiangzhen MengAbstract:Changshanhao open-pit gold mine in Inner Mongolia is the largest gold heap leach mine in North China. Recently, the mining depth and scale have increased, due to depletion of shallow resources. Since deep mining and steep slope mining have begun at Northeast stope of Changshanhao gold mine, landslides and instabilities of different scales occurred at many areas, constituting severe threat to both personnel and equipment. In order to comprehensively evaluate the slope stability of the Northeast stope and provide guidance for the division of dangerous areas in the stope, the 3D geological model of the Northeast stope of Changshanhao open-pit gold mine was established by using 3D digital modeling technology. Following, the Rock Quality designation (RQD) value of deep Rock in the stope was estimated, based on RQD sample data of deep Rock extracted from borehole and geostatistics method, while the distribution characteristics in three-dimensional space of Rock Mass Quality of the open-pit slope were revealed. Ultimately, through the comparative analysis of the integrity investigation results outcrop Rock Mass and the prediction results of deep Rock Mass, the feasibility of three-dimensional geological modeling method and the reliability of the calculation results based on geostatistics method were verified, providing reference for safe mining of the high and steep slope within the open pit. The comparative analysis results indicated that: (1) the overall Rock Mass Quality grade of current slope at the Northeast mining area was poor; (2) the Rock Mass at the north side of the upper part of the east U-shaped mouth was quite fractured, further reinforcement, monitoring and prevention are needed; (3) in the final state of design, the influence of mining disturbance will further degrade the Quality of slope Rock Mass.
-
Rock Mass Quality prediction of open pit gold mine slope based on the kriging interpolation method
Geotechnical and Geological Engineering, 2020Co-Authors: Zhigang Tao, Xuebin Cui, Xiaoming Sun, Jiong Wang, Kuiming Liu, Hong ChenAbstract:Rock Quality index (RQD) is a parameter which reflects the degree of Rock fragmentation and is an important index for evaluating the stability and properties of Rock Masses in the field. Taking Chang Shanhao open pit gold mine in Inner Mongolia as the research object, RQD data from geological exploration drill core from the southwest stope are analyzed using the indicator Kriging interpolation method, which are then used as the sample points for variogram fitting in order to simulate the spatial variability of Rock Mass Quality. Based on the geostatistics simulation prediction, the Rock Quality of the stope is predicted via interpolation, and a three-dimensional model corresponding to the RQD percentage and the risk of the slope Rock Mass is established to predict the Quality of the slope Rock Mass of the stope, and a three-dimensional Rock Mass Quality prediction diagram is constructed. Results show that the potential landslide area in the three-dimensional Rock Mass Quality prediction map is consistent with field data and is consistent with the landslide disaster area revealed by excavations.
Hong Chen - One of the best experts on this subject based on the ideXlab platform.
-
Rock Mass Quality prediction of open pit gold mine slope based on the kriging interpolation method
Geotechnical and Geological Engineering, 2020Co-Authors: Zhigang Tao, Xuebin Cui, Xiaoming Sun, Jiong Wang, Kuiming Liu, Hong ChenAbstract:Rock Quality index (RQD) is a parameter which reflects the degree of Rock fragmentation and is an important index for evaluating the stability and properties of Rock Masses in the field. Taking Chang Shanhao open pit gold mine in Inner Mongolia as the research object, RQD data from geological exploration drill core from the southwest stope are analyzed using the indicator Kriging interpolation method, which are then used as the sample points for variogram fitting in order to simulate the spatial variability of Rock Mass Quality. Based on the geostatistics simulation prediction, the Rock Quality of the stope is predicted via interpolation, and a three-dimensional model corresponding to the RQD percentage and the risk of the slope Rock Mass is established to predict the Quality of the slope Rock Mass of the stope, and a three-dimensional Rock Mass Quality prediction diagram is constructed. Results show that the potential landslide area in the three-dimensional Rock Mass Quality prediction map is consistent with field data and is consistent with the landslide disaster area revealed by excavations.
David Saiang - One of the best experts on this subject based on the ideXlab platform.
-
application of measurement while drilling technology to predict Rock Mass Quality and Rock support for tunnelling
Rock Mechanics and Rock Engineering, 2020Co-Authors: Jeroen Van Eldert, Hakan Schunnesson, Daniel Johansson, David SaiangAbstract:A tunnelling project is normally initiated with a site investigation to determine the in situ Rock Mass conditions and to generate the basis for the tunnel design and Rock support. However, since s ...
Xuebin Cui - One of the best experts on this subject based on the ideXlab platform.
-
Rock Mass Quality prediction of open pit gold mine slope based on the kriging interpolation method
Geotechnical and Geological Engineering, 2020Co-Authors: Zhigang Tao, Xuebin Cui, Xiaoming Sun, Jiong Wang, Kuiming Liu, Hong ChenAbstract:Rock Quality index (RQD) is a parameter which reflects the degree of Rock fragmentation and is an important index for evaluating the stability and properties of Rock Masses in the field. Taking Chang Shanhao open pit gold mine in Inner Mongolia as the research object, RQD data from geological exploration drill core from the southwest stope are analyzed using the indicator Kriging interpolation method, which are then used as the sample points for variogram fitting in order to simulate the spatial variability of Rock Mass Quality. Based on the geostatistics simulation prediction, the Rock Quality of the stope is predicted via interpolation, and a three-dimensional model corresponding to the RQD percentage and the risk of the slope Rock Mass is established to predict the Quality of the slope Rock Mass of the stope, and a three-dimensional Rock Mass Quality prediction diagram is constructed. Results show that the potential landslide area in the three-dimensional Rock Mass Quality prediction map is consistent with field data and is consistent with the landslide disaster area revealed by excavations.
Xiaoming Sun - One of the best experts on this subject based on the ideXlab platform.
-
Rock Mass Quality prediction of open pit gold mine slope based on the kriging interpolation method
Geotechnical and Geological Engineering, 2020Co-Authors: Zhigang Tao, Xuebin Cui, Xiaoming Sun, Jiong Wang, Kuiming Liu, Hong ChenAbstract:Rock Quality index (RQD) is a parameter which reflects the degree of Rock fragmentation and is an important index for evaluating the stability and properties of Rock Masses in the field. Taking Chang Shanhao open pit gold mine in Inner Mongolia as the research object, RQD data from geological exploration drill core from the southwest stope are analyzed using the indicator Kriging interpolation method, which are then used as the sample points for variogram fitting in order to simulate the spatial variability of Rock Mass Quality. Based on the geostatistics simulation prediction, the Rock Quality of the stope is predicted via interpolation, and a three-dimensional model corresponding to the RQD percentage and the risk of the slope Rock Mass is established to predict the Quality of the slope Rock Mass of the stope, and a three-dimensional Rock Mass Quality prediction diagram is constructed. Results show that the potential landslide area in the three-dimensional Rock Mass Quality prediction map is consistent with field data and is consistent with the landslide disaster area revealed by excavations.
