Key research themes
1. How can wall modeling and subgrid-scale (SGS) modeling advance LES of high-Reynolds number wall-bounded turbulent flows efficiently and accurately?
This research area addresses the challenge of performing LES for wall-bounded turbulent flows at high Reynolds numbers without incurring prohibitive computational costs. Wall modeling strategies coupled with subgrid-scale models aim to reduce the resolution requirements near walls while still capturing key turbulent structures and stresses. The focus is on developing, analyzing, and validating SGS and wall models that balance accuracy, computational efficiency, and physical fidelity for complex flows encountered in engineering applications.
2. What are the best sub-filter scale modeling approaches to accurately represent turbulence in Large Eddy Simulations, particularly minimizing dissipation and capturing different flow regimes?
This theme explores the development and analysis of sub-filter or subgrid-scale (SGS) models in LES that determine the effective eddy viscosity representing unresolved turbulence. The focus lies on minimum-dissipation models that provide just enough dissipation to stabilize the solution, models that respect flow-dependent switching off in laminar or transitional regions, and combustion-regime based models adapting to local turbulence-chemistry interactions. Improving the functional forms of SGS models to respect flow physics leads to enhanced accuracy and applicability of LES across practical conditions.
3. How can computational implementation strategies and numerical methods enhance the accuracy and efficiency of LES for complex aerodynamic flows and environmental dispersion?
This research area investigates innovations in numerical algorithms, computing hardware, solver methodologies, and coupling techniques that empower LES to be practical and accurate for large-scale engineering and environmental flows. It includes the deployment of LES on specialized hardware (GPUs, TPUs), use of high-order discretizations, advanced acoustic solvers coupled with LES, and application to industrial-scale configurations such as aircraft and wind turbines. The focus is on overcoming computational cost limitations and numerical dissipation to enable LES in realistic scenarios.