Joint Alteration Number

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Radford B. Langston - One of the best experts on this subject based on the ideXlab platform.

  • Modeling of Geotechnical Parameters for Mine Planning Purposes at the Stillwater Pt - Pd Mine, Nye, Montana.
    1998
    Co-Authors: Radford B. Langston
    Abstract:

    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.

R. Bhasin - One of the best experts on this subject based on the ideXlab platform.

  • Rock mass characterization for large caverns in India and Norway using a new method of recording and presenting engineering geological data
    International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 1994
    Co-Authors: R. Bhasin
    Abstract:

    This paper presents some applications of a new method of recording and presenting key geotechnical parameters, including the data required for rock mass classification using the Q-system. It describes geotechnical logging work, performed during the benching operations at two sites. The first site is the 200m long, 23m wide, 56m high underground powerhouse of the Sarsar Sarovar hydroelectric project in Gujarat, India. The second site is the 91m long, 61m wide, 24m high underground Winter Olympics stadium at Lillehammer, Norway. The geotechnical data at both sites were recorded on logging charts displaying histograms, and then punched into a personal computer running a spreadsheet, allowing the data to be combined and manipulated according to users' wishes. The six Q-method parameters, estimated from these data, were: (1) rock quality designation; (2) Joint set Number; (3) Joint roughness Number; (4) Joint Alteration Number; (5) Joint water reduction factor; and (6) stress reduction factor. They are essential to the process of predicting rock mass behaviour. All parameters, considered important when performing field mapping and core drilling, are described briefly. Some examples of the graphical logging results for both sites are displayed.