A new app has appeared in the Rock Mass Data Analyser suite: the Geotechnical Domains Delimiter. This app allows you to create your own geotechnical domains; either from boundaries (e.g. lithological contacts or fault planes) or volumes (e.g. lithologies, domains, selection boxes).
The app uses the HW/FW filter to classify the space in relation to each survey imported (inside a survey = ‘ore’; hanging wall = hang; footwall = foot). Each unique fingerprint combination is represented by a point (see pink dots in Figure 2). To identify key areas, these points need to be assigned as a ‘reference point’ by giving it a name (Figure 2).
Afterwards, geotechnical domains names can be assigned to the defined reference points (Figure 3). A single geotechnical domain may have multiple fingerprints, thus it needs to be defined by more than one reference point. In this example, most of the geotechnical domains were associated with two fingerprints each.
The geotechnical domains created automatically classify all the data in the Rock Mass Data Analyser: the rock mass quality data (e.g. RQD, G, RMR, GSI), the structures, the geology observed in borehole segments, stress measurements etc. Figure 4 shows the lab tests, the rock mass quality intervals along boreholes and stress measurements in Region2 with ticks in the Filter panel.
For more information, view the five training videos detailing the Geotechnical Domains Delimiter app.
Borehole ID: more flexibility to show text in 3D
For all borehole sources, you now have the ability to show the borehole ID along the dip of the hole and at the top or bottom. To do so, the controls of the text series related to the borehole IDs must be adjusted (see Figure 5). If more than 1,000 boreholes need to be displayed, do not forget to increase the ‘Max # to plot’ field!
Detailed data errors
There is now a detailed error panel of the data imported and saved for all data sources (rock mass quality, structures, lab tests etc.). These panels detail the boreholes or sample for which the data is outside the expected range, the concerned parameter, and its value. A table summarising all the rows containing ‘bad quality data’ is available in Rock Mass Data Analyser. The values outside expected ranges are clearly highlighted in red. The segments containing ‘bad quality’ data can also be seen in 3D space (Figure 6).
The ‘good data’ table only shows the data used for calculations; if a sample/borehole interval contained a ‘bad value’ for a parameter, only that parameter is ignored in the calculations, not the entire data for the segment/sample.
Rock mass quality data: using RQD from another source
New features in the Rock Mass Data Importer/Analyser allow you to import RQD values with intervals other than the one defined with your rock mass quality data csv. The first step is to import the csv containing the RQD data along the borehole, in the following column order: Borehole ID, From, To, RQD value (see Figure 7).
Afterwards, the newly imported RQD values can be seen alongside the RQD values from your rock mass quality data imported, if it exists. You can choose which RQD values to use for the further analysis (Tables, Charts & 3D View) in ‘Select RQD sources’ (see Figure 8). The same panel can be found in both the Rock Mass Data Importer app and the Rock Mass Data Analyser app.
Do not hesitate to contact the mXrap support team for an app upgrade to get all these features!
