Sandstone Rock Sample Properties from Four Iranian Formations

20 sandstone samples from four Iranian formations were tested for physical and mechanical properties, including dry unit weight, porosity, uniaxial compressive strength, and elasticity modulus. The dataset was created by Davood Fereidooni and last updated on May 15, 2026. It likely contains the sample names and corresponding measured property values used to develop AI models for predicting mechanical strength.

Use Cases

• Training machine learning models to predict uniaxial compressive strength based on physical properties like dry unit weight and porosity.
• Comparing the predictive performance of different AI models (ANN, RF, kNN) for rock property estimation.
• Conducting sensitivity analysis to identify the most influential predictors, such as Schmidt hammer rebound, for mechanical properties.
• Analyzing correlations between physical characteristics (density, porosity) and mechanical performance across different geological formations.

Strengths

• Laboratory measurements for 20 distinct sandstone samples provide a controlled basis for analysis.
• Key property ranges are explicitly provided: dry unit weight (23.34–26.10 kN/m³), porosity (2.07–10.16%), UCS (55.46–104.16 MPa), and E (39.86–57.03 GPa).
• Strong statistical correlations are reported, such as a Pearson correlation of 0.947 between dry unit weight and UCS.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope.

Provenance

Source

Davood Fereidooni

Collection Method

Comprehensive laboratory tests performed on collected sandstone samples.

Freshness

Last updated 2026-05-15 17:33:43; freshness should be verified.

Geography

Samples from four Iranian formations.