Development and Validation of Universal 3D Blast Fragmentation Model
The dominant technology in hard rock mining is drilling and blasting; therefore, the importance of fragment size estimation is an essential problem in the mining industry. By using a theoretical foundation that explains rock-fracturing mechanisms by blasting, a 3D fragmentation model with general ap...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/14/8316 |
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| author | Veljko Lapčević Slavko Torbica Miloš Stojanović Ivica Vojinović |
| author_facet | Veljko Lapčević Slavko Torbica Miloš Stojanović Ivica Vojinović |
| author_sort | Veljko Lapčević |
| collection | DOAJ |
| description | The dominant technology in hard rock mining is drilling and blasting; therefore, the importance of fragment size estimation is an essential problem in the mining industry. By using a theoretical foundation that explains rock-fracturing mechanisms by blasting, a 3D fragmentation model with general applicability was developed. The main capabilities of the model are the ability to consider different and complex blasting patterns, both with parallel and non-parallel boreholes, and different explosive and rock properties. The geological input of the model is defined by generating the primary blocks within rock mass using discrete fracture networks. The model handles different, complex geological setups and blasting scenarios that include bench, ring, and tunneling blasting. Also, it considers borehole deviation, misfires, and the influence of previous blasts. Full-scale ring blasts were carried out to validate the model against real-world data, and the results showed a high level of agreement between model predictions and in situ data. In situ data were collected using image processing methodology and WipFrag v4 software. X50 and X80 size values showed a maximum error in prediction of around 15%, while R<sup>2</sup> values between fragmentation curves were approximately 90% without a detailed model calibration to the obtained data. |
| first_indexed | 2024-03-11T01:20:32Z |
| format | Article |
| id | doaj.art-52bae08f735f41f3be67bffc7dc8d0ed |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T01:20:32Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-52bae08f735f41f3be67bffc7dc8d0ed2023-11-18T18:11:23ZengMDPI AGApplied Sciences2076-34172023-07-011314831610.3390/app13148316Development and Validation of Universal 3D Blast Fragmentation ModelVeljko Lapčević0Slavko Torbica1Miloš Stojanović2Ivica Vojinović3Faculty of Mining and Geology, University of Belgrade, Ðušina 7, 11000 Belgrade, SerbiaOwl & Fox—Mining Consultants, Cara Dušana 67/3, 11000 Belgrade, SerbiaMining and Metallurgy Institute Bor, Zeleni Bulevar 35, 19210 Bor, SerbiaMining and Metallurgy Institute Bor, Zeleni Bulevar 35, 19210 Bor, SerbiaThe dominant technology in hard rock mining is drilling and blasting; therefore, the importance of fragment size estimation is an essential problem in the mining industry. By using a theoretical foundation that explains rock-fracturing mechanisms by blasting, a 3D fragmentation model with general applicability was developed. The main capabilities of the model are the ability to consider different and complex blasting patterns, both with parallel and non-parallel boreholes, and different explosive and rock properties. The geological input of the model is defined by generating the primary blocks within rock mass using discrete fracture networks. The model handles different, complex geological setups and blasting scenarios that include bench, ring, and tunneling blasting. Also, it considers borehole deviation, misfires, and the influence of previous blasts. Full-scale ring blasts were carried out to validate the model against real-world data, and the results showed a high level of agreement between model predictions and in situ data. In situ data were collected using image processing methodology and WipFrag v4 software. X50 and X80 size values showed a maximum error in prediction of around 15%, while R<sup>2</sup> values between fragmentation curves were approximately 90% without a detailed model calibration to the obtained data.https://www.mdpi.com/2076-3417/13/14/8316blastingfragmentationexplosivesrockfracturemining |
| spellingShingle | Veljko Lapčević Slavko Torbica Miloš Stojanović Ivica Vojinović Development and Validation of Universal 3D Blast Fragmentation Model Applied Sciences blasting fragmentation explosives rock fracture mining |
| title | Development and Validation of Universal 3D Blast Fragmentation Model |
| title_full | Development and Validation of Universal 3D Blast Fragmentation Model |
| title_fullStr | Development and Validation of Universal 3D Blast Fragmentation Model |
| title_full_unstemmed | Development and Validation of Universal 3D Blast Fragmentation Model |
| title_short | Development and Validation of Universal 3D Blast Fragmentation Model |
| title_sort | development and validation of universal 3d blast fragmentation model |
| topic | blasting fragmentation explosives rock fracture mining |
| url | https://www.mdpi.com/2076-3417/13/14/8316 |
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