Special Issues
Table of Content

Multi-Aspect Modelling in Rock Blasting

Submission Deadline: 30 June 2025 View: 65 Submit to Special Issue

Guest Editors

Prof. Dr. José A. Sanchidrián

Email: ja.sanchidrian@upm.es

Affiliation: Department of Mining Engineering and Earth SciencesEscuela Técnica Superior de Ingenieros de Minas y Energía (ETSIME), Universidad Politécnica de Madrid.

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Research Interests: Rock fragmentation, rock mass characterization for blasting, vibrations, and detonation and explosion physics.

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Dr. Santiago Gómez

Email: santiago.gomez@upm.es

Affiliation: Department of Mining Engineering and Earth SciencesEscuela Técnica Superior de Ingenieros de Minas y Energía (ETSIME)Universidad Politécnica de Madrid.

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Research Interests: Vibrations caused by blasting, rock fragmentation, flyrock, detonation physics, rock mechanics and rock mass characterization.

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Associate Prof. Dr. Pablo Segarra

Email: pablo.segarra@upm.es

Affiliation: Department of Mining Engineering and Earth SciencesEscuela Técnica Superior de Ingenieros de Minas y Energía (ETSIME)Universidad Politécnica de Madrid.

Homepage:

Research Interests: Rock mass characterization for blasting, Fragmentation measurement and prediction, Rock motion, muckpile layout, Drill to mill, Vibrations and airblast from blasting.

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Summary

The execution of rock blasting operations is critical for resource extraction industries. With recent advances in computational modeling, it is possible to optimize these processes, leading to improved productivity, safety, and cost-efficiency. This Special Issue aims to explore the application of state-of-the-art computational tools to key challenges in rock blasting and invites contributions addressing recent developments to tackle complex problems using empirical and analytical techniques, Finite Element Modeling (FEM), Discrete Element Modeling (DEM), soft computing, artificial intelligence, multi-objective optimization, and stochastic approaches.


Contributions may focus on detonation and vibration modeling, crack propagation, and other blast-induced outcomes such as flyrock and muckpile formation. Studies on rock mass damage estimation, including slope stability and backbreak analysis, are highly encouraged. The issue also welcomes research on drill-to-mill optimization models, covering blast design, fragmentation prediction, and process optimization within the comminution process. Additionally, innovative methods for rock mass characterization through image analysis, MWD data, and fracture network modeling will be emphasized.


Topics to be covered:

1. Blasting dynamics

-Detonation modeling

-Vibration modeling

-Crack propagation

-Gas pressure within rock

-Blast overpressure

-Flyrock prediction

-Muckpile shape and ground heave modeling

 

2. Rock mass damage estimation

-Wall and slope stability control

-Backbreak

 

3. Drill-to-mill optimization model development

-Blast design and sequence layout

-MWD technology application

-Fragmentation measurement and prediction modeling

-Hauling and diggability models

-Grinding optimization

 

4. Rock mass characterization

-Image analysis and ore recognition

-Measurement while drilling (MWD) analysis

-Discrete Fracture Network (DFN) modeling

Numerical and analytical methods


Keywords

Rock blasting, modelling, fragmentation prediction, rock mass characterization, drill to mill, blasting dynamics, rock mass damage, computational methods, optimization

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