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| Funder | Vinnova |
|---|---|
| Recipient Organization | Saab Aktiebolag |
| Country | Sweden |
| Start Date | Aug 01, 2023 |
| End Date | Aug 31, 2024 |
| Duration | 396 days |
| Number of Grantees | 1 |
| Roles | Principal Investigator |
| Data Source | Swedish Research Council |
| Grant ID | 2023-01569_Vinnova |
Purpose and goal:
The purpose of the project is to explore LES in an aeronautical context with focus on wall modeling techniques where machine learning methods, among others, will be used. Moreover, numerical accuracy and uncertainty quantification (UQ) methods based on statistical error quantification will be studied. The project aims to formulate the basis, with respect to strategies, challenges and implementations, for further studies on novel wall modeling methods for LES and associated numerical schemes as well as UQ-methods.
Expected results and effects:
The expected results of the project are documentation of problem formulation and solution strategies for wall-modeled LES and uncertainty quantification methods as well as flow solver capabilities related to LES. Moreover, the project outcome is planned to form the basis for continued studies on novel wall modeling for LES. Expected effects of the project are deeper knowledge and more experience of wall modeling related to LES in an aeronautical context as well as establishment of new research topics and new research collaborations.
Approach and implementation:
The project will focus on fundamentals in near-wall modeling, numerical schemes and procedures, and UQ methods for LES through assessment of state-of-the-art methods and exploration of new concepts. Data driven methods, among others, will be used to formulate and explore new wall functions for LES. The research is made as a collaboration between Saab Aeronautics, Chalmers University of Technology and the Royal Institute of Technology.
Saab Aktiebolag
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