📦 Resource excel

Kuz-Ram Calibration Dataset for 12 Rock Types

This dataset provides empirically validated Kuznetsov (Kuz) and Rampling (Ram) model calibration parameters—specifically K, n, and A values—for 12 geologically distinct rock types, including granite, basalt, limestone, sandstone, quartzite, schist, gneiss, dolomite, rhyolite, andesite, coal measure rocks, and weathered tuff. Derived from field blast monitoring data (fragmentation analysis via digital image processing, burden/spacing measurements, and explosive energy input tracking), it bridges the gap between theoretical Kuz-Ram predictions and real-world fragmentation outcomes. The dataset significantly improves predictive accuracy for blast design, reducing reliance on generic default parameters and enabling site-specific optimization of drilling and blasting efficiency.

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🎯 When to Use

Practicing blasting engineers use this dataset during pre-blast design to select appropriate Kuz-Ram constants aligned with local rock mass properties—enabling more accurate prediction of muck pile fragmentation prior to drilling. It supports optimization of powder factor, burden spacing, and delay timing in both surface and underground applications; aids in benchmarking blast performance across different lithologies; and serves as a training reference for junior engineers and blast simulation software (e.g., BlastLogic, RS2, or custom Python/Matlab Kuz-Ram solvers).

📑 Key Contents

1 Rock type classification with detailed geological descriptors (e.g., UCS range, RQD, P-wave velocity, and GSI scores)

2 Calibrated Kuz-Ram constants (K, n, A) per rock type, each accompanied by statistical confidence intervals (95% CI) and root-mean-square error (RMSE) against observed fragment size distributions

3 Corresponding blast design inputs: explosive type (ANFO, emulsion, dynamite), charge weight per hole, burden/spacing ratios, stemming length, and initiation sequence

4 Measured fragmentation outputs: D₅₀ (median fragment size), D₈₀, and Rosin-Rammler distribution parameters derived from high-resolution sieve and image-based analysis

5 Metadata tab documenting data provenance—including mine location, blast date, equipment used (e.g., JCB fragmentation scanner, Swebrec software), and QA/QC procedures applied

📏 Standards Referenced

IME SP-100: 'Blasting Operations – Safety and Performance Guidelines' ISO 13689:2017 'Rock Excavation — Determination of Fragmentation Characteristics'

📥 Note: Available as a single .xlsx file with password-protected worksheets (read-only access granted upon institutional affiliation verification); includes embedded data validation rules, hyperlinked references to source reports, and a comprehensive README sheet explaining units, assumptions, and limitations.