| Issue |
MATEC Web Conf.
Volume 342, 2021
9th edition of the International Multidisciplinary Symposium “UNIVERSITARIA SIMPRO 2021”: Quality and Innovation in Education, Research and Industry – the Success Triangle for a Sustainable Economic, Social and Environmental Development”
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|---|---|---|
| Article Number | 02012 | |
| Number of page(s) | 10 | |
| Section | Challenges in Mining, Mineral Processing, Surveying and Civil Engineering | |
| DOI | https://doi.org/10.1051/matecconf/202134202012 | |
| Published online | 20 July 2021 | |
Determination of the rock mass resistance index (GSI) based on image processing
University of Petrosani, Department of Mechanical, Industrial and Transport Engineering, University Street 20, Petrosani, Romania
* Corresponding author: sorin,popescu@toposystem.ro
More and more often, and on an increasingly large scale, the geological resistance index (GSI) system is used for the design and practice of the mining process. The GSI, is a unique system for classifying the mass of rocks, linked to the parameters of rock strength and mass distortion, based on the generalized criteria of Hoek-Brown and MohrCoulomb. The GSI can be estimated using standard and in situ tables by direct surface observations in underground or surface mining. The GSI value provides a numerical representation of the overall Geotechnical quality of the rock mass. The method for determining GSI using photographic images of the in situ rock mass, with image processing technology, fractal theory and artificial neuronal network (ANN), is already known and successfully applied in several projects.
© The Authors, published by EDP Sciences, 2021
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