Data for 'Application of the Gaussian copula to the probabilistic modeling of the compressibility of soft clays'
Löfman, Monica Susanne;
This dataset contains data and code used in the research work for the manuscript "Application of the Gaussian copula to the probabilistic modeling of the compressibility of soft clays". The study considered two case studies, Haarajoki clay and Suurpelto clay. Two settlement calculation methods were used: compression index method and Janbu (tangential stiffness) method.
The Monte Carlo simulation with Gaussian copula was implemented with Python in Jupyter Notebook environment. In addition to data and code, supplementary figures are also provided. The contents of the dataset-folder are briefly described below:
Data tables that include the clay specimen identifications, index properties, and oedometer test results (.xlsx)
Oedometer raw data files that include all the available stress-strain measurements of both constant-rate-of-strain and incrementally loaded odometer tests (.xlsx)
Python code used to run the Monte Carlo simulations and to create the results figures (.ipynb)
Scatterplots with histograms that show the simulated compressibility parameters in each case (.jpg)