Conditional POD for predicting extreme events in turbulent flow time signals
Abstract Extreme events in turbulent flows are rare, fast excursions from typical behavior that can significantly impact systems performance and reliability. Predicting such events is challenging due to their intermittent nature and rare occurrence, which limits the effectiveness of data-intensive m...
Saved in:
| Main Authors: | David Martín, Joan Grau, Lluís Jofre |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-14804-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
High-fidelity database of supercritical homogeneous isotropic turbulence in the pseudo-boiling region
by: David Martín, et al.
Published: (2025-08-01) -
Modulation of biofilm growth by shear and fluctuations in turbulent environments
by: Federico Pizzi, et al.
Published: (2025-04-01) -
Methods for Predicting Bubble Size Distribution in Turbulent Flow
by: Pengcheng Li, et al.
Published: (2025-04-01) -
The Influence of Laminarizers on the Turbulent Boundary Layer and Prediction of Effective Flow Conditions around Surfaces
by: Chukalin A.V., et al.
Published: (2025-05-01) -
PREDICTION OF NOISE FROM TURBULENT FLOW FOR AIRFOIL
by: V. T. Kalugin, et al.
Published: (2016-11-01)