RocData 5.0 offers a number of new features, including:

Updated interface

GSI Chart and Calculator

Plotting multiple materials

Consolidated Hoek-Brown intact and rock mass data curve fitting options

Hoek-Brown criterion tensile cutoff

Data uncertainty analysis

Flexible charting options Professional report generation

RocData 5.0 features a modern, updated interface, with new display and customization options.

RocData interface

In the GSI dialog, two different rock type options are available: General 2013 and Flysch 2013. If the General 2013 rock type is used, the GSI Calculator is available, based on Hoek, Carter and Diederichs (2013).

GSI Chart – General 2013

GSI calculator

GSI Chart – Flysch 2013

In RocData 5.0 you can easily plot data for multiple materials. Selecting the material in the sidebar displays the material properties in the legend. One of the things you can do with this new option is look at the effect of the D factor on a material. Simply create two materials, with identical properties except for D, and you can examine the influence of the disturbance factor.

Using two materials to examine the effect of the disturbance factor, D

In RocData users can extrapolate design parameters by exploring datasets using different curve fitting options:

Linear Regression

Modified Cuckoo

Levenberg-Marquardt

Simplex

User-Defined The linearized option can provide a good preliminary analysis, and can be used for visual inspection of the fit. The non-linear curve fitting option, however, provides a better fit to non-linear data.

Example of curve fitting in RocData

Tensile cutoff options are provided in RocData so the user can better estimate the tensile strength of the Hoek-Brown criterion. RocData offers the Hoek and Martin (2013) method, which provides an improved tensile strength estimate compared to Generalized Hoek-Brown. The result is a more conservative failure envelope. A user-defined cutoff is also available.

Tensile Cutoff dialog

RocData provides uncertainty analysis in the form of a user-defined prediction interval for the fit of the dataset. The bounding envelopes indicate a region in which future data will fall given the existing dataset.

Prediction interval (dotted lines)