Modelling And Evaluation Of Aggregate And Ornamental Rock Quality
Notice bibliographique
Résumé
Minimizing environmental impact is an important concern in all types of mining, but research generally focuses on metal mining [1].Recently environmental and social aspects are included in the evaluation of some deposits [2].In non-metallic mining, building materials are widely needed.Special interest is given to calcareous materials, due to their intrinsic characteristics, which are appropriate for construction and have a strong presence in the industry [3].Calcareous deposits are massive, often superficial, have extensive dimensions, and are frequent, so resource evaluation should be carried out simply and practically.For this, a process must be in place to determine quality production and predict environmental effects.One of the most widely used classification systems in geomechanics is the well-known RMR [4], which uses parameters such as rock strength, weathering, joint conditions, etc.This system is used to evaluate rock masses and its application field is diverse, so it could be used to evaluate the product quality of a rock mass [5].This study analyzes a calcareous rock mass from drill holes and field points using observational and geomechanical classification parameters.Geomechanical variables were used previously defined in a block model (BM).The BM was implemented in Vulcan by Maptek, where the available data was interpolated.The BM contains sub-blocks with operational dimensions of 10x10x0.6 meters.Ten interesting variables were considered, and their importance level was established for production purposes, either as aggregate or as an ornamental rock.This weighting may vary depending on the user's interest because if a certain material is intended as an aggregate, strength characteristics will prevail, while in ornamental rocks, layer size is the main characteristic.The methodology is based on selection and quarryability criteria, and a parametric evaluation from drill holes.The aim is to define a practical methodology to evaluate a rock mass through a Quality Index (QI).The QI can take values from 0-100 % and would initially predict the suitability of the rock to be used as aggregate, ornamental rock, or waste.This study is a proposal for the evaluation of rock masses simply and insightfully since it aims to add variables that can predict operational performance such as fuel consumption per ton mined, and environmental impacts such as CO2 emissions, and dust or waste generation [6].These variables could be adapted in the sense that environmental effects have a relevant influence on the production process and can be valued from a holistic perspective in the early stages of a project.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».