Development of Adaptive, Non-equilibrium Wall-Modeling for Large Eddy Simulation using Body-Fitted and Cartesian Grid Methods
Abstract
The ability to accurately predict the complex flow field around flight vehicles and in engine flow paths is essential to enable more aggressive performance requirements with reduced safety factors and, ultimately, to guide the development of novel innovative designs. A key motivation for the proposed research is that current simulation methods are limited in their predictive capabilities for turbulent flows around complex geometries. While low-fidelity Reynolds Averaged Navier-Stokes (RANS) approaches will continue to play a critical role in the design process, there is a growing consensus within the Computational Fluid Dynamics (CFD) community that higher-fidelity turbulent flow simulations (including DES and wall-modeled LES, or WMLES) are a necessary complement to them.The proposed research will address several key shortcomings of contemporary WMLES methods with the goal of enabling their widespread use in engineering practice. In the proposed research, we will develop wall-models with better accuracy considering non-canonical flow fields that remain robust across flow conditions and solver details. To reduce the reliance on user expertise and increase the accuracy for a given computational cost novel grid and solution-based adaptation methodologies will be tailored to WMLES. Within the scope ofthe proposed research, we will not only implement and test new wall-models and adaptation approaches for WMLES inside our in-house body-fitted higher-order solver but also integrate it into our conservative higher-order immersed boundary method (IBM) based CFD framework. The IBM approach in combination with adaptive mesh refinement (AMR) is particularly well suited to apply grid and solution-based adaptation on the fly as well as employ advanced wall modeling strategies in the context of WMLES to make IBM-WMLES applicablefor high Reynolds number aeronautical applications. An important aspect of the proposed work is that these developments will be tested in two differentcodes that use different types of grids and near-wall treatments, which will provide a much more comprehensive assessment of both wall-models and adaptation methods.Approved for public release.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 06, 2023
- Source ID
- N000142312167
Entities
People
- Christoph Brehm
Organizations
- Office of Naval Research
- United States Navy
- University of Maryland