Advanced Aerodynamic Development Engineering

2.1 Fundamentals of CFD: Navier-Stokes equations and conservation of mass, momentum, and energy
2.2 Discretization methods: finite volumes, finite differences, and/or finite elements
2.3 Meshing and mesh quality: structured/unstructured, local refinement, quality criteria (skewness, aspect ratio)
2.4 Basic turbulence models: RANS, k-ε, k-ω, SST
2.5 CFD oriented to aerodynamics: implementation of RANS in transonic and high-Reynolds flows
2.6 LES and DDES: fundamentals, subgrid-scale models, and hybrid strategies
2.7 Adjoint and optimization in CFD: adjoint formulation, gradient calculation for optimization
2.8 Boundary conditions and wall treatment: no-slip, slip, inlet, outlet, periodicity
2.9 Post-processing and metrics: extraction of aerodynamic coefficients Cx/Cy, Cp, pressure distribution, and vorticity
2.10 Verification, validation, and uncertainty: grid convergence, code verification, comparison with experimental data, uncertainty analysis

3.1 Fundamentals of RANS and LES in advanced aerodynamics: model selection and applicability criteria
3.2 DDES and DES: hybrid approaches for transitions, separation, and complex surfaces
3.3 Adjoint and geometry optimization: gradient derivation and design strategies
3.4 Aerodynamic performance optimization: gradient-based and metaheuristic methods in aeronautical contexts
3.5 Advanced turbulence models: k-omega SST, Spalart–Allmaras, and subgrid-scale for LES
3.6 Mesh and discretization design: mesh, boundary layers, and quality criteria
3.7 Verification and validation in aerospace CFD: benchmarking, uncertainty, and compliance
3.8 Integration of CFD with MBSE/PLM: digital thread and change management in aerospace projects
3.9 Aeroelasticity and CFD-structural coupling: flutter, coupling, and robustness
3.10 Case studies: design, simulation, and evaluation of an airfoil/wing with performance and safety criteria

4.1 Introduction to Advanced Aerodynamics and CFD
4.2 Navier-Stokes equations and turbulence fundamentals
4.3 RANS turbulence models and variants (RANS, URANS, k-ε, k-ω, SST)
4.4 Large Eddy Simulation (LES) and Detached-Eddy Simulation (DDES)
4.5 Adjoints and aerodynamic design optimization
4.6 Numerical methods and discretization in CFD
4.7 Mesh design, quality criteria, and refinement
4.8 Boundary conditions, boundaries, and coupling with structures
4.9 Verification, Validation, and uncertainty in CFD
4.10 Case studies and best practices in advanced aerodynamics

5.1 Overview of Naval Advanced Aerodynamics: relevance, scope, and challenges of CFD in ships and submarines
5.2 Fundamentals of CFD for naval applications: RANS, LES, and DDES applied to external and internal flows
5.3 Adjoints and Optimization: formulation, gradients, and applications in profiles and hulls
5.4 Turbulence and transition modeling in naval fluids: k-omega, SST, and DDES/LES techniques
5.5 Simulation preparation: mesh, boundary conditions, convergence, and verification
5.6 Dynamic structure-fluid integration: FSI coupling in naval aerodynamics
5.7 Performance optimization: resistance, maneuverability, stability, and energy consumption
5.8 Aerodynamic and acoustic noise simulation in hulls and towers
5.9 Data management and traceability: MBSE/PLM for change control and model reuse
5.10 Case clinic: go/no-go with risk matrix and decision criteria

6.1 Context and scope of Advanced Computational Aerodynamics
6.2 Navier–Stokes equations and fundamentals of discretization
6.3 Introduction to RANS, LES, and DDES: concepts and differences
6.4 Adjoint and optimization in CFD: fundamentals and applications
6.5 Turbulence models: selection, calibration, and limits
6.6 Meshing techniques: quality, boundary layer resolution, and transition
6.7 Verification, validation, and cross-validation of models and solvers
6.8 CFD workflow: preprocessing, solver, and postprocessing with examples
6.9 HPC considerations and computational performance
6.10 Case study: design and evaluation of a basic aerodynamic profile with multiple CFD approaches

7.1 Fundamentals of the Navier–Stokes equations and turbulence concepts
7.2 RANS turbulence models: k-ε, k-ω, SST, and Spalart–Allmaras
7.3 Introduction to LES and SGS models: Smagorinsky, dynamic Smagorinsky, WALE
7.4 DES and low hybrid RANS-LES: principles, usage criteria, and transitions
7.5 Adjoint and sensitivity in CFD: fundamentals, formulation, and design applications
7.6 Optimization in CFD: objectives, design variables, constraints, and penalties
7.7 Mesh preparation and simulation setup: quality standards, y+, near-wall
7.8 Verification and validation in CFD: mesh testing, code verification, and benchmarking
7.9 Performance and scalability in HPC for RANS/LES: parallelism, solvers, and execution times
7.10 Naval and aeronautical case studies: hull buoyancy, propellers, and control surfaces

8.1 Introduction to Advanced Aerodynamic Modeling: overview of CFD applied to naval engineering
8.2 Fundamentals of Fluid Dynamics and Turbulence: Navier–Stokes equations, turbulence models, and resolution criteria
8.3 RANS, LES, and DDES: model selection and their impact on accuracy and computational cost in naval cases
8.4 Adjoint and Optimization in Aerodynamics: derivative calculation, sensitivities, and design strategies for hulls and propellers
8.5 Integration of aerodynamics with propulsion and structures: hull-propeller flow interaction and performance impacts
8.6 Generation and use of meshes for naval CFD: structured/unstructured meshes, near-wall resolution, and grid independence
8.7 Validation and verification of CFD models: comparison with tunnel and water test data, uncertainties
8.8 Naval Case Studies: hull optimization, drift and starboard, propeller and propulsion, noise control
8.9 Data management and workflow: MBSE/PLM, change traceability, and version control
8.10 Future trends and regulations: standards, certifications, and safety practices in naval aerodynamic modeling

9.1 Fundamentals of CFD and advanced numerical methodologies
9.2 Principles of fluid dynamics applied to naval aerodynamics
9.3 Turbulence models: RANS, LES, DDES in maritime contexts
9.4 Mesh and discretization strategies for complex aerodynamic simulations
9.5 Validation and verification of CFD models in naval applications
9.6 Introduction to optimization in naval aerodynamic design
9.7 Software tools and platforms for advanced simulation
9.8 Case studies and practical application in naval and aerospace vehicle design
9.9 Trends and advances in CFD for naval and aerospace engineering
9.10 Evaluation and analysis of results in complex aerodynamic simulations

10.1 Introduction to Advanced Computational Aerodynamics: objectives, scope, and the relationship of CFD with naval and aeronautical design
10.2 Fundamentals of the physical flow equations: Navier–Stokes, incompressible and compressible flow
10.3 Discretization methods and numerical stability: finite volumes, structured and unstructured meshing
10.4 Fundamental turbulence models: RANS, LES, and DDES; selection criteria for naval applications
10.5 Adjoint and optimization in CFD: formulation, gradients, and design strategies
10.6 Handling of boundary conditions and simulation configurations for aerodynamic flows
10.7 Verification and validation: procedures, metrics, and reference cases in naval CFD
10.8 Preprocessing and mesh generation: naval geometry, refined meshing, and quality criteria
10.9 CFD tools and environments: OpenFOAM, Fluent, STAR-CCM+, workflows, and pipelines
10.10 Introductory CFD project: planning, execution, and evaluation of results in a naval case