Blast Fragmentation Model

Blast Fragmentation Model MCP Connector for Claude

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Predict rock fragmentation size distributions using the Kuz-Ram model.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides predictive modeling for mining operations to calculate rock fragmentation size distributions. By integrating rock mass characteristics, blast pattern parameters, and explosive energy, it uses the Kuz-Ram model to provide critical metrics. Use predict_fragmentation_distribution to calculate P50 and P80 sizes, evaluate_pattern_efficiency to analyze muckpile uniformity, calculate_oversize_risk to assess boulder production, and simulate_energy_impact to predict how energy adjustments shift the distribution.

kuz-ramfragmentationmining-engineeringblast-designrock-mechanics

4 tools expose this connector's capabilities to your AI agent.

calculate_oversize_risk

Specifically assesses the likelihood of producing "boulders" that exceed operational limits

evaluate_pattern_efficiency

Analyzes how different blast patterns affect the uniformity of the resulting muckpile

predict_fragmentation_distribution

Calculates the primary fragmentation statistics for a specific blast design

simulate_energy_impact

Predicts how changing the explosive energy or specific charge will shift the fragmentation distribution

See how to talk to your AI agent using Blast Fragmentation Model.

Calculate the fragmentation distribution for a rock with factor 10, burden 3, spacing 4, diameter 0.15, specific charge 0.5, and explosive energy 1.0.

The predicted median size (P50) is 12.4 cm, the P80 is 25.8 cm, the uniformity index is 1.15, and the oversize percentage is 4.2%.

What is the risk of oversize if my P80 is 35cm and my maximum allowable size is 30cm with a rock factor of 12?

The calculated oversize probability is 28% and the risk level is Medium.

How will increasing explosive energy by 20% affect my fragmentation?

Increasing the energy by 20% is predicted to reduce the P50 from 15.0 cm to 13.2 cm, representing a 12% improvement in median size.

The Kuz-Ram model is a mathematical framework used to predict the size distribution of rock fragments resulting from blasting operations.

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