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Data · dataset · 2025

Integrated Empirical Correlation between Geological Strength Index (GSI) and Adjusted Rock Mass Rating (RMR_adj): A Field-Based Statistical Model

Listed in Teesside University Research Data Repository

Description

**Description** This dataset contains the raw field data used to develop the empirical correlation between the Geological Strength Index (GSI) and the Adjusted Rock Mass Rating (RMR_adj) in the research article entitled "Integrated Empirical Correlation between Geological Strength Index (GSI) and Adjusted Rock Mass Rating (RMR_adj): A Field-Based Statistical Model". **Data Overview:** - **Total Records:** 134 field observations - **Parameters:** - Geological Strength Index (GSI) - Adjusted Rock Mass Rating (RMR_adj) - **Lithological Units:** - Elika Formation (Massive Dolomite) - Lar Formation (Limestone) - Shemshak Formation (Sandstone, Siltstone, Shale) - **Location:** Central Alborz region, Iran - **Mine Sites:** Golbini & Zo Bauxite Mine, Tange Gazi Limestone Mine **File Format:** Microsoft Excel (.xlsx) **File Contents:** 1. **Field_Data Sheet:** Contains all 134 raw data points with the following columns: - Observation_ID: Unique identifier for each field observation - Formation: Lithostratigraphic unit name - Location: Specific mine site name - RMR_adj: Calculated Adjusted Rock Mass Rating value - GSI: Field-measured Geological Strength Index value 2. **Parameters_Description Sheet:** Provides detailed explanations of each parameter and methodology used for field measurements. **Potential Reuse:** This dataset can be used for: - Validation of the proposed GSI-RMR_adj correlation - Comparative studies in rock mass classification - Development of new empirical models in rock mechanics - Educational purposes in geotechnical engineering **Related Publication:** Shirdel, B. "Integrated Empirical Correlation between Geological Strength Index (GSI) and Adjusted Rock Mass Rating (RMR_adj): A Field-Based Statistical Model" (Submitted to Rock Mechanics and Rock Engineering)

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Geology 71%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/8z54mc65j3.110 d agoJSON v1
FieldAssertionExtractorEvidence
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