The Experts below are selected from a list of 18 Experts worldwide ranked by ideXlab platform
Peter Kaiser - One of the best experts on this subject based on the ideXlab platform.
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Visualization of rock mass classification systems
Geotechnical & Geological Engineering, 2006Co-Authors: Peter KaiserAbstract:A rock mass classification system is intended to classify and characterize the rock masses, provide a basis for estimating deformation and strength properties, supply quantitative data for mine support estimation, and present a platform for communication between exploration, design and construction groups. In most widely used rock mass classification systems, such as RMR and Q systems, up to six parameters are employed to classify the rock mass. Visualization of rock mass classification systems in multi-dimensional spaces is explored to assist engineers in identifying major controlling parameters in these rock mass classification systems. Different visualization methods are used to visualize the most widely used rock mass classification systems. The study reveals that all major rock mass classification systems tackle essentially two dominant factors in their scheme, i.e., block size and Joint surface condition. Other sub-parameters, such as Joint Set Number, Joint space, Joint surface roughness, alteration, etc., control these two dominant factors. A series two-dimensional, three-dimensional, and multi-dimensional visualizations are created for RMR , Q , Rock Mass index RMi and Geological Strength Index ( GSI ) systems using different techniques. In this manner, valuable insight into these rock mass classification systems is gained.
Shigeru Yamashita - One of the best experts on this subject based on the ideXlab platform.
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Estimation of Cavability by Using a Block Model and Fuzzy Sets.
Shigen-to-sozai, 2020Co-Authors: Liguan Wang, Fumio Sugimoto, Shigeru YamashitaAbstract:This paper presents a classification method for estimating the cavability class of an ore body, involving four evaluation parameters: rock quality designation (RQD), modified Joint spacing, Js, modified Joint Set Number, Jf, and shear property of Joints, Jφ. Geostatistical tools and a block modeling techniques are used to estimate the value of each parameter. Fuzzy Sets are applied to estimate the cavability class of the rock mass block. The goal of this research is to develop a three dimensional (3D) block cavability model by incorporating these rock mass rating parameters. In this research work, the rock mass characterization data were derived from the rock core samples and the drift logging of a copper mine in north China.
Liguan Wang - One of the best experts on this subject based on the ideXlab platform.
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Estimation of Cavability by Using a Block Model and Fuzzy Sets.
Shigen-to-sozai, 2020Co-Authors: Liguan Wang, Fumio Sugimoto, Shigeru YamashitaAbstract:This paper presents a classification method for estimating the cavability class of an ore body, involving four evaluation parameters: rock quality designation (RQD), modified Joint spacing, Js, modified Joint Set Number, Jf, and shear property of Joints, Jφ. Geostatistical tools and a block modeling techniques are used to estimate the value of each parameter. Fuzzy Sets are applied to estimate the cavability class of the rock mass block. The goal of this research is to develop a three dimensional (3D) block cavability model by incorporating these rock mass rating parameters. In this research work, the rock mass characterization data were derived from the rock core samples and the drift logging of a copper mine in north China.
Radford B. Langston - One of the best experts on this subject based on the ideXlab platform.
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Modeling of Geotechnical Parameters for Mine Planning Purposes at the Stillwater Pt - Pd Mine, Nye, Montana.
1998Co-Authors: Radford B. LangstonAbstract:At the Stillwater Mine, geotechnical parameters determining rockmass quality are estimated using inverse distance modeling. Plots produced for mine-planning purposes are constructed in both block and contour format. Unconfined compressive strength, block size, friction angle, stress reduction factor and rockmass quality are displayed in this manner. Production and exploration core drilling is logged for RQD, Joint Set Number (Jn), Joint roughness Number (Jr), Joint alteration Number (Ja), and point load index. The point load index is converted to a UCS value by the use of a correlation curve. Drill runs are flagged in relative stratigraphic assemblages as footwall below the zone of interest, zone of interest and hanging wall above the zone of interest. These flagged zones are then length weight composited. Subsequent modeling of the composite intervals using an inverse distance algorithm with a weighting exponent of one produces output displayed as posted cell values and contour plots in longitudinal section on the plane of the ore zone. Use of this data allows more optimal planning of mining methods, planning of ancillary excavations and prediction of potential ground conditions within a given stoping block. Optimization of the estimation technique and validation of results are currently ongoing.
Fumio Sugimoto - One of the best experts on this subject based on the ideXlab platform.
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Estimation of Cavability by Using a Block Model and Fuzzy Sets.
Shigen-to-sozai, 2020Co-Authors: Liguan Wang, Fumio Sugimoto, Shigeru YamashitaAbstract:This paper presents a classification method for estimating the cavability class of an ore body, involving four evaluation parameters: rock quality designation (RQD), modified Joint spacing, Js, modified Joint Set Number, Jf, and shear property of Joints, Jφ. Geostatistical tools and a block modeling techniques are used to estimate the value of each parameter. Fuzzy Sets are applied to estimate the cavability class of the rock mass block. The goal of this research is to develop a three dimensional (3D) block cavability model by incorporating these rock mass rating parameters. In this research work, the rock mass characterization data were derived from the rock core samples and the drift logging of a copper mine in north China.
