Jupyter notebook and data used to do actuarial science-based bridge health monitoring.
You can see a live visualization of this data here. The code used to create the visualization can be found in another repository.
This contains the results of a years-long collabrotanio between the University of Nebraska Lincoln (UNL) and the University of Nebrask at Omaha (UNO). Together, researchers and studets from these schools have been collaborating with bridge stakeholders to improve bridge health monitoring through the use of big data. This work is funded in part by NSF #1636805, #1762034, and #1718139. This repository the data and code related to our actuarial science-based approach to bridge health monitoring.
The data files in this repo are licensed under the Creative Commons BY-SA 4.0, and the source code in this repo is licensed under the MIT license.
This work is funded in part by NSF #1636805, #1762034, and #1718139