PRJ-1695 | Probabilistic Seismic Hazard Analysis for the Sliding Displacement of Rigid Sliding Masses
Key function: Cloud-based analysis that uses external data provided by an API.
This workflow is about probabilistic seismic slope analysis
Computes slope displacement hazard curve with given information about slope and earthquake ground motion hazard
Uses API to directly import ground motion hazard information from USGS hazard website
Outputs the numeric results of the displacement hazard as csv file
PRJ-2889 | Earthquake Time Series from Events in Texas, Oklahoma, and Kansas
Key function: Exporting selected ground motion time series from dataset
This workbook is about providing a user with the ground motion data (maximum limit of 1,000 at once) available from the published data on Designsafe.
Receives search criteria (ranges of magnitude and distance) from a user and produces a compressed file containing all the time series of selected motion in user’s directory, Data Depot on Designsafe.
PRJ-2074 | NHERI Debris Impact Experiments Jupyter Notebook
Key function: GUI-based visualization and analysis of experiments
This notebook is about laboratory experiments on debris impact.
Presents images and videos of the experimental facility, setup, and experimental program through graphical user interface (GUI).
Performs filtering raw signals gathered from the experiments with selected frequency and range
Can easily view any result for a user’s interest using GUI.
PRJ-2259 | Next Generation Liquefaction (NGL) Partner Dataset Cone Penetration Test (CPT) Viewer
Key function: GUI-based Visualization on experimental data
This notebook is to visualize geotechnical field experiments (CPT).
Bring CPT test results located in SQL database at DesignSafe and plot the results as a function of depth and their probabilistic distributions.
Can easily view the results that a user wants through graphical user interface (GUI).
PRJ-2363 | Soil-Foundation-Structure Interaction Effects on the Cyclic Failure Potential of Silts and Clays
Key function: Post-processing of experimental data
This notebook is post-processing experimental data with visualization.
Import experimental data and process the raw data with sensors’ characteristics and filter.
A user can interactively view the processed experimental data
PRJ-1942 | NGA-East Geotechnical Working Group Seismic Site Response Simulation Database
Key function: Querying NoSQL database of numerical simulations
This notebook is to provide results of numerical simulations by interfacing with NoSQL database.
Directory Name: Demo
The notebooks available in this directory perform numerical integration for ordinary differential equation in engineering and science
Directory Name: PythonSetup
SetupPythonNotebook.ipynb: Guideline on how to setup and use Jupyter notebooks on local machine across several types of operating system (Windows, Linux, and Mac) as well as in DesignSafe workspace.
The below notebooks describe how to visualize numerical results using python.
There are two examples for improved speed of for-loops by interfacing with C and Fortran. There is a description on how to install each package.
Python enables one to write texts and equations in latex format for teaching purpose and provides a graphical user interface with which one can readily see the results by changing the input parameters.
StressRotation.ipynb: Provides a graphical user interface of Mohr Circle plot in engineering mechanics that one can see the result by changing input parameters.
TerzaghiPlotting.ipynb: Shows a mathematical expression in latex format and plots the solution of the partial differential equation.
TerzaghisTheory.ipynb: Describes Terzaghi’s theory of consolidation in soil mechanics along with markdown cell that allows for typing words and latex format. (In general term, jupyter notebook allows us to write texts for engineering and science problems like writing on white board)
Directory Name: Notebooks
Solves the mathematical equations (differential equations) through numerical analysis such as finite element or finite difference methods.
Stiffness_method.ipynb: linear algebra solution to get displacement (Ku=F)
Shape_function.ipynb: Creating Lagrange polynomials
Elastic_bar_linear_fem.ipynb: One dimensional truss analysis of linear elastic finite element method
fdm_seepage_dam.ipynb: finite difference method for numerical integration
Directory Name: freeFieldEffectiveJupyter
Directory Name: freeFieldJupyterPM4Sand
