Convergence of full-scale measurements and large-eddy simulations to advance the prediction of high-rise building wind loads
Abstract/Contents
- Abstract
- In 2022, extreme wind events caused
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 | 2024; ©2024 |
| Publication date | 2024; 2024 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Hochschild, John William |
|---|---|
| Degree supervisor | Gorle, Catherine |
| Thesis advisor | Gorle, Catherine |
| Thesis advisor | Ouellette, Nicholas (Nicholas Testroet), 1980- |
| Thesis advisor | Santiago, Juan G |
| Degree committee member | Ouellette, Nicholas (Nicholas Testroet), 1980- |
| Degree committee member | Santiago, Juan G |
| Associated with | Stanford University, School of Engineering |
| Associated with | Stanford University, Civil & Environmental Engineering Department |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | John Hochschild. |
|---|---|
| Note | Submitted to the Civil & Environmental Engineering Department. |
| Thesis | Thesis Ph.D. Stanford University 2024. |
| Location | https://purl.stanford.edu/sm262cb0838 |
Access conditions
- Copyright
- © 2024 by John William Hochschild
Also listed in
Loading usage metrics...