Unconfined compression tests data sets

Description

Those data are from USC test. the test results are presented with respect to curing time (the file called UCS test results). Several graphs are plotted to find the relation between them. Also the by which we decide the elastic modules are also available here, the file name after E50. The soil we used during the tests, soils index properties are available at gradation curve file. in addition, we go for machine learning approach so the input those what we used for machine learning are also available in file called Regression.

Steps to reproduce

This dataset contains experimental and processed data derived from Unconfined Compressive Strength (UCS) tests conducted on soil samples under varying curing periods. The primary objective of the dataset is to investigate the relationship between curing time and strength development. The dataset includes: UCS test results for different curing durations, used to evaluate strength variation over time, derived from stress–strain behavior Soil index properties and gradation data, provided through particle size distribution analysis Combined graphical analyses, illustrating correlations between curing time, strength, and stiffness parameters, prepared for regression-based modeling to predict UCS parameters All data are organized in separate Excel files: Gradation Curve.xlsx → soil classification and particle size distribution UCS test result.xlsx → raw and processed UCS data combined graph.xlsx → plotted relationships and comparative analysis This dataset supports both experimental geotechnical analysis and data-driven modeling approaches, enabling further research in soil stabilization, strength prediction, and performance evaluation.

Institutions

• University of Information Technology and Sciences

  Dhaka District, Dhaka

Categories

Licence