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This document details Datarock’s product Geotechnical Strength Index (GSI)

The literature, "Quantification of the Geological Strength Index Chart," introduces a structured approach to quantifying the Geological Strength Index (GSI), transforming the traditional qualitative assessment into a more standardised quantitative evaluation.

Contents

Literature

This product is based on the following literature:

Item

Title

Author

Year

1

A discussion on the Hoek–Brown failure criterion and suggested modification to the criterion verified by slope stability case studies.

Sonmez H, Ulusay R.

2002

2

Quantification of the Geological Strength Index Chart

Hoek, E., Carter, T.G., Diederichs, M.S.

2013

Dependent Models

The outputs of the following computer vision models are used:

Model Name

Model Type

Fracture Detection and Classification

Object Detection

Drillers Break

Object Detection

Fracture Mask

Instance Segmentation

Geotechnical Weathering Intensity

Classification

Data Processing

Datarock has developed a detailed method for calculating a proxy of the Geological Strength Index (GSI) by integrating various Datarock products such as Weighted Joint Density, Geotech Weathering Intensity and Joint Roughness Coefficient.

The following steps provide a structured description of the method:

Calculating Structural Rating (SR)

Weighted Joint Density as basis for Volumetric Joint Count

As described by XXX Reference, wJd is practically the same as Volumetric Joint Count (Jv), therefore our calculated wJd has been used as the basis (see wJd product description for details).

  1. Take the wJd for a given interval. This will be called .

  2. If residual soil exists within the interval (as detected by the Geotech Weathering Intensity model), wJd will be updated by assigning 10 fractures per 10cm of residual soil:

  3. This value is then in the calculation of the Structural Rating.

image-20240123-023328.png

Determining Structural Rating (SR)

The Structural Rating on the y-axis of the GSI chart is calculated using the wJd value. The relationship between SR and wJd is given by the equation as described by Sonmez H, Ulusay R., 2002:

As derived from empirical data, the Structural Rating quantifies the structural complexity of the rock mass.

Calculating Surface Condition Rating (SCR)

  • SCR includes considerations of infill rating, weathering, and joint roughness. However, it has been determined that it is not possible to reliable determine infill rating from a core photo, and therefore the SCR is determined based on weathering and JRC (Joint Roughness Coefficient) values. This is the primary reason we label this product as GSI proxy.

Roughness Rating (Rr)

The Roughness Rating is determined using Datarock’s Joint Roughness Coefficient as its basis (see JRC product description for details).

image-20240123-014737.png
  • The JRC values are converted to a 0-6 scale using the following polynomial function (established by fitting a polyline to empirical data):

Weathering Rating (Rw)

The weathering score is determined by identifying the most dominant weathering type in the interval and assigning an associated Weathering Rating. The Weathering Score has been multiplied by 1.5 to take into account the absence of Infill Rating data.

Weathering Intensity

Weathering Score

Weathering Rating (Rw)

Residual Soil

0

0

Completely Weathered

0

0

Highly Weathered

1

1.5

Moderately Weathered

3

4.5

Slightly Weathered

5

7.5

Fresh / Unaltered

6

9

image-20240123-015357.pngimage-20230717-234333-20240123-015237.png

GSI Calculation from the Quantified Chart

  • The GSI value is determined by digitising the GSI plot on the surfer and obtaining the surface equation (a quadratic-second order surface). With the calculated x (SCR) and y (SR) coordinates on the GSI chart, these values are plugged into the surface equation to yield the GSI value, providing a quantified measure of the rock mass quality.

image-20240123-050252.png

This method provides a systematic approach to quantifying the GSI by integrating various rock mass characteristics, as detailed in the paper. The use of empirical relationships and polynomial functions allows for a more objective and quantifiable assessment of the GSI, contributing to a standardised evaluation of rock mass conditions.

Output Intervals

Default interval length: 3m

Customisable interval available: Yes

User Data

User data may be provided to the Datarock team via csv in the following format:

·       HoleID_sampling_intervals_GSI.csv

CSV file to contain the following headers:

File Header

Description

depth_from

Start of interval

depth_to

End of interval

Data Output

Results from this product is delivered in a batch nature.

Integration of the required technologies into Datarock production is ongoing.

The available CSV files include the following:

  • ProjectID_HoleID_GSI_3m.csv

  • ProjectID_HoleID_GSI_by_user_intervals.csv

Both CSVs contain the following headers:

File Header

Description

hole_id

Customer’s Hole ID

depth

Depth of fracture

depth_from

From depth for the fracture detection bounding box

depth_to

To depth for the fracture detection bounding box

wjd

Weighted joint density

wjd_measurable

Weighted joint density using only “measurable” fractures

rqd_wjd

RQD - Weighted Joint Density measures rock solidity by assessing fracture frequency and size.

rqd_wjd_measurable

Assessment of rock quality by quantifying fracture impact on rock mass integrity.

weathering_score

Weathering Score evaluates the degree of rock degradation due to environmental exposure.

SRC_JRC

SRC_JRC is a measure that evaluates the shear strength and roughness of rock joints for stability analysis

SR

Structural Rating

SRC

Surface Roughness Coefficient

gsi

Geotechnical Strength Index

Product Limitations

Limitations

Comments

Lack of Infill Data

The absence of infill rating in the Surface Condition Rating (SCR) calculation means that the model may not fully capture the influence of infill materials on the mechanical behavior of discontinuities, despite the scaling adjustment.

Dependence on Visual Inspection 

GSI is traditionally estimated through visual inspection. The subjective nature of visual assessment can lead to variability in GSI values assigned by different assessors, potentially affecting the consistency and reliability of results.

 

Document Version

Version

Date

Author

Rationale

1

22 Jan 2024

L Yanez

Initial release

 

 

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