posted on 2024-10-03, 07:50authored byChing-Shung Chang, Jason Chao, Yibing Deng
The provided CSV dataset (number 1–3) contain the raw predicted data generated from an analytical model grounded in a physics-based methodology for predicting the compression of binary mixture, used to plot the compression curves.
CSV file 1: Contains predicted data for specific volume variations with fines content under different stress.
CSV file 2: Includes predicted compression curves for pure sand and silt based on the specific volume changes under compression. These predictions are modeled using parameters from Meidani et al.'s compression model for granular soils.
CSV file 3: Shows the predicted compression curves for bi-dispersed packings with various fines content, ranging from 5% to 94%.
Funding
Analytical Modeling for the Effect of Grain Size Distribution on the Critical State of Granular Soil