UCLA

Two Jupyter notebooks are prepared for visualizing, analyzing, and post-processing data from constant-height direct simple shear tests performed on three fine-grained soil mixtures. The experimental data and Jupyter notebooks are available and implemented in the DesignSafe cyberinfrastructure (www.designsafe-ci.org). To categorize the dataset, the experiments are grouped into three events based on their designations for the mixtures tested in the lab. Each experiment contains two stages; consolidation and shear, including time series of load, displacement, stress, strain, equivalent excess pore-water pressure etc. The data has been categorized in this manner to facilitate the use of the visualization notebook and to locate specific tests in the dataset. A spreadsheet similar to the AGS4 format was created to provide metadata about the soil specimens that were tested. The data plotter notebook visualizes the experimental data. A separate analysis notebook creates an environment for the user to combine outcomes of multiple tests, synthesize the data, and enables regression analyses for finding critical state lines, shear strength normalization parameters, and generates CSR vs. number of uniform cycles for cyclic tests for arbitrary strain levels.