This advanced course focuses on the application of Large-Eddy Simulation (LES) to analyze and predict complex airflow and environmental phenomena in urban environments. LES provides high-fidelity resolution of large-scale turbulent structures, making it an essential tool for understanding wind flow around buildings, pollutant dispersion, thermal comfort, and microclimate behavior in modern cities.
Participants will gain practical and theoretical knowledge to perform accurate urban CFD simulations using industry-standard tools and real-world case studies.
Why LES for Urban Analysis?
Urban environments involve highly unsteady, three-dimensional turbulent flows influenced by building geometry, thermal effects, and atmospheric conditions. Traditional RANS models often fail to capture these complexities. LES bridges the gap by resolving dominant turbulent eddies while modeling smaller scales, enabling:
Accurate prediction of urban wind patterns
Reliable analysis of pollution dispersion
Improved assessment of pedestrian wind comfort
Better planning for sustainable and resilient cities
What You Will Learn:
What You Will Learn
Fundamentals of turbulence and LES theory
Differences between RANS, DES, and LES approaches
Sub-grid scale (SGS) modeling techniques
Grid generation and mesh sensitivity for LES
Time-step selection and numerical stability
Boundary conditions for atmospheric boundary layers (ABL)
Post-processing and interpretation of unsteady flow data
Key Topics Covered
Urban Atmospheric Boundary Layer modeling
Wind flow around high-rise and dense building clusters
Pollutant and particulate dispersion studies
Thermal effects and urban heat island analysis
Pedestrian-level wind comfort and safety
LES validation using experimental and field data
Software & Tools
ANSYS Fluent (LES setup and execution)
Advanced turbulence models and solver settings
Professional post-processing and visualization techniques
Course Outcomes
After completing this course, participants will be able to:
Independently set up LES simulations for urban airflow
Analyze complex unsteady turbulence phenomena
Predict environmental impacts with high accuracy
Apply LES results to real-world urban design decisions
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