Visual anemometry : wind speed measurement through visual observation of fluid-structure interactions
Abstract/Contents
- Abstract
- Information about the flow incident on an object is encoded in the observable characteristics of the structural response. Fluid-structure interactions such as the flapping of flags and swaying of trees are ubiquitous in the built environment and in nature. This thesis explores methods by which visual observations of such fluid-structure interactions can be used to make quantitative, instantaneous flow speed measurements. Videos capturing the responses of flags, flexible cantilevered cylinders, and trees were collected in laboratory and field experiments. Visual anemometry techniques were developed to infer the incident wind speeds from the observed structural responses, using both data-driven and physical modeling approaches. Results suggest that observations of common structures such as trees can be leveraged for quantitative flow speed measurement.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2021; ©2021 |
| Publication date | 2021; 2021 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Cardona, Jennifer Lee |
|---|---|
| Degree supervisor | Dabiri, John O. (John Oluseun) |
| Degree supervisor | Lele, Sanjiva K. (Sanjiva Keshava), 1958- |
| Thesis advisor | Dabiri, John O. (John Oluseun) |
| Thesis advisor | Lele, Sanjiva K. (Sanjiva Keshava), 1958- |
| Thesis advisor | Eaton, John K |
| Thesis advisor | Gorle, Catherine |
| Degree committee member | Eaton, John K |
| Degree committee member | Gorle, Catherine |
| Associated with | Stanford University, Department of Mechanical Engineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Jennifer L. Cardona. |
|---|---|
| Note | Submitted to the Department of Mechanical Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2021. |
| Location | https://purl.stanford.edu/kz959rh5101 |
Access conditions
- Copyright
- © 2021 by Jennifer Lee Cardona
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