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T. B. dos Santos

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Open access 2026

Comparison and Validation of Regression Techniques for Dilution Prediction in Underground Mining.

The stability of stopes in underground mining is a critical factor for both operational safety and the economic viability of mining projects. Empirical methods, such as Potvin's Stability Graph (1988), are widely used to predict stability conditions; however, their applicability may be limited in distinct geomechanical...

G. Mendonça, J. M. V. Matos, T. B. dos Santos · 0 citations
Open access Oct 2026

Rock Strength Classification in a Brazilian Iron Ore Mine Using Operational Drilling Variables and Machine Learning

Rock strength is a key parameter for mine planning and operational optimization, but conventional laboratory testing is costly and provides limited spatial coverage. This study develops a methodology for classifying operational rock-strength classes in a Brazilian iron ore mine using reverse circulation (RC) drilling d...

José Matheus Vieira Matos, T. B. dos Santos, A. E. M. Santos et al. · 0 citations

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