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PRJ-4535 | Jupyter notebooks for Wind Tunnel & Field Wind-Structure Interaction
Cite This Data:
Pinelli, J., F. MOHAMMED ABDUL AJAZ, S. Sridhar (2024). Jupyter notebooks for Wind Tunnel & Field Wind-Structure Interaction [Version 2]. DesignSafe-CI. https://doi.org/10.17603/ds2-e0wn-ge12

Authors; ;
Data Type(s)Jupyter Notebook
Natural Hazard Type(s)Hurricane/Tropical Storm
Facilities
Wall of Wind - Florida International University
Wireless sensing network at Florida Tech
Event(s)
Hurricane Isaias | Satellite Beach | 2020-07-30 ― 2020-08-05 | Lat 28.1761° N long 80.5901° W
Awards
Wireless Sensor Network (WSN) System and LIDAR Experiments for the Characterization of Strong Wind Loads on Non-Structural Components and Near-surface Wind Profiles | 70NANB19H088 | NIST
Referenced Data and Software
Keywordswireless sensors network, Tapis, Plotly, Hurricane Ian, Wall of Wind
DOI10.17603/ds2-e0wn-ge12
License
 3-Clause BSD License
Version
2
Description:

Florida Tech (FIT) teams deploy networks of wireless sensors on residential houses during high impact wind events or on full scale wind tunnel models. Each deployment might include pressure, temperature and humidity sensors alongside different anemometers and a conical scanning infrared LIDAR. The workflow, starts with uploading the data to DesignSafe through authentication tokens created in Tapis. Once on DesignSafe, three Jupyter notebooks process and visualize the instruments data for analyses. The notebooks provide a user friendly and interactive environment that can adapt to different datasets. For this project, the notebooks perform quasi static real-time analysis, assess sensor performance, study pressure variations for different wind conditions and data correlation. The user interactivity of these notebooks facilitates an easy adaptation to different datasets with little to no-change in code.

File NameSizeLast Modified
 
Data Depot | DesignSafe-CI