Contained within this folder is an exhaustive collection of raw data that was obtained during the on-site data collection process. The data encompasses a range of sources, including aerial imagery, photographs, and LiDAR scans. Each of these sources provides unique information that, when combined, creates a highly detailed representation of the site in question. The aerial imagery captures an overview of the site from a bird's-eye perspective, while the photographs provide a more granular view of specific areas. The LiDAR scans, on the other hand, use laser technology to capture highly accurate data on the contours and elevations of the site. Together, these three sources of data provide a comprehensive understanding of the site that can be utilized for a variety of applications.Damage reconnaissance of historical buildings affected by tornado loading
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This content will become publicly available on August 28, 2024
Probabilistic simulation of tornado-like loading on a low-rise building based on laboratory testing
Tornadoes can cause severe damage to buildings, but it is difficult to measure tornado loading on structures due to limitation of equipment. To enable investigations of tornado effects on buildings, this paper presents a method that can be used to numerically simulate nonstationary, non-Gaussian tornado-like loading based on laboratory testing. An illustrative application shows that the proposed method can successfully simulate tornado-like loading that is statistically similar to the loading measured in experiments.
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- Award ID(s):
- 2053494
- NSF-PAR ID:
- 10472446
- Publisher / Repository:
- 16th International Conference on Wind Engineering
- Date Published:
- Journal Name:
- 16th International Conference on Wind Engineering
- Subject(s) / Keyword(s):
- ["Nonstationary non-Gaussian tornado-like loading","spectral representation","translation theory"]
- Format(s):
- Medium: X
- Location:
- Florence Italy
- Sponsoring Org:
- National Science Foundation
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