- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Automatic Translation feature is available on CiNii Labs
- Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Investigation of coherent structures in turbulent boundary layer above urban building array using proper orthogonal decomposition
-
- Haitham Osman
- Interdisciplinary Graduate School of Engineering Sciences, Kyushu University
-
- Ikegaya Naoki
- Interdisciplinary Graduate School of Engineering Sciences, Kyushu University Faculty of Engineering Sciences, Kyushu University
Search this article
Description
Turbulent structures are intermittent and spatially correlated above the canopy. These structures play a crucial role in enhancing the momentum exchange inside the urban boundary layer. While various studies have explored these structures numerically and experimentally, the structures dynamics over extremely rough surfaces remain substantially less understood. Hence, this study applies Proper orthogonal decomposition (POD) to high temporal and spatial resolution data for the streamwise velocity component derived from large eddy simulation. The results reveal that the first four POD modes account for over 40% to the turbulent kinetic energy. Furthermore, the first POD pair exhibits a wider coherent structure compared to the second POD pair (mode 3 and mode 4). Interestingly, POD mode 1 and mode 2 oscillate at approximately the same frequency. This study provides deeper insights into the coherent structure’s dynamics above the canopy, thereby contributing to a better understanding of the momentum exchange mechanism.
Journal
-
- Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES)
-
Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES) 10 890-896, 2024-10-17
Interdisciplinary Graduate School of Engineering Sciences, Kyushu University
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390865265012144384
-
- DOI
- 10.5109/7323365
-
- HANDLE
- 2324/7323365
-
- ISSN
- 24341436
-
- Text Lang
- en
-
- Article Type
- conference paper
-
- Data Source
-
- JaLC
- IRDB
- Crossref
-
- Abstract License Flag
- Allowed