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Equivalent Mohr-Coulomb Parameters

An important feature of RocData is the calculation of equivalent Mohr-Coulomb parameters for non-linear failure envelopes.

This is very useful because many geotechnical engineering analysis programs require Mohr-Coulomb parameters (cohesion and friction angle) as input, even though actual strength envelopes are often non-linear.

Equivalent MC Envelope (blue) for non-linear shear-normal envelope (red)



Equivalent Mohr-Coulomb parameters are automatically calculated for the following non-linear strength criteria in RocData:

  • Generalized Hoek-Brown
  • Barton-Bandis
  • Power Curve

  • Mohr-Coulomb parameters are calculated by determining a linear envelope which provides a "best-fit" over a given stress range of a non-linear envelope. The stress range is specified using the Failure Envelope Range option in the Sidebar.

    Display of equivalent Mohr-Coulomb parameters in Sidebar



    The results of the Mohr-Coulomb fit (cohesion and friction angle) are displayed in the Sidebar, and the equivalent Mohr-Coulomb envelope can be displayed on the failure envelope plots.

    NOTE: the Failure Envelope Range option has a direct effect on the calculated Mohr-Coulomb parameters for non-linear failure envelopes. If you change the stress range, you will obtain a different Mohr-Coulomb fit. For more information see the Equivalent Mohr-Coulomb Parameters help topic.

    Instantaneous Mohr-Coulomb Parameters

    Another option for obtaining Mohr-Coulomb parameters from non-linear strength envelopes, is the Instantaneous Mohr-Coulomb Sampler. This option allows you to graphically obtain the instantaneous Mohr-Coulomb parameters (cohesion and friction angle), at any point along a curved (non-linear) failure envelope.

    Just click the mouse anywhere on the plot and the instantaneous Mohr-Coulomb envelope (tangential line) will appear on the plots, for the value of sigma3 or normal stress at which the mouse was clicked.

    Instantaneous Mohr-Coulomb sampler on shear-normal stress plot



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