HPC course for aerospace simulation
About our
The HPC for Aerospace Simulation course focuses on the use of High-Performance Computing (HPC) to simulate and analyze complex phenomena in the aerospace industry. It emphasizes the application of numerical methods, such as computational fluid dynamics (CFD) and finite element simulation (FEA), on high-performance platforms to optimize the design and performance of aircraft and rockets. The course covers topics such as computational aerodynamics, structural simulation, and heat transfer, with the goal of improving efficiency and reducing development costs.
Participants will learn to use specialized tools and software for large-scale simulations, including data management, code optimization, and results visualization. Emphasis is placed on the practical application of these techniques in real-world aerospace industry projects, preparing professionals for roles such as simulation engineers, CFD analysts, and HPC specialists. The course aims to foster an understanding of model development, results analysis, and simulation-based decision-making.
HPC course for aerospace simulation
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 2
575 $
Competencies and results
What you will learn
1. HPC Optimization for Aerodynamics and Flight Dynamics Simulations
- Master high-fidelity numerical simulation techniques for aerodynamic and flight dynamics analysis.
- Understand and apply optimization methods for computational efficiency in HPC environments.
- Implement advanced models for studying the structural behavior of aircraft.
- Analyze flap-lag-torsion, whirl flutter, and fatigue couplings.
- Use simulation tools for the design and evaluation of aeronautical components.
- Dimension laminates in composites, joints, and bonded joints with FE.
- Develop skills in using specialized software for HPC simulations.
- Implement damage tolerance and NDT (UT/RT/thermography).
- Optimize the performance of simulation codes for high-performance environments.
- Interpret and analyze the results of complex simulations for decision-making in aeronautical design.
2. Advanced Analysis of Aerospace Systems using High-Performance Computing
- Modeling and simulation of complex aerospace systems using high-performance computing (HPC) techniques.
- Advanced structural dynamics analysis, including the identification and mitigation of critical phenomena:
- Analyzing flap-lag-torsion, whirl flutter, and fatigue couplings.
- Design and optimization of aerospace components using finite element methods (FEA) and advanced structural analysis:
- Dimensioning laminates in composites, joints, and bonded joints with FE.
- Evaluation of structural integrity and predictive maintenance techniques:
- Implementing damage tolerance and NDT (UT/RT/thermography).
3. Comprehensive user-oriented design and validation (from modeling to manufacturing)
You will learn to integrate the entire product development process, from initial model conception to final validation, applying user-centered methodologies. You will develop skills in parametric design, ergonomics, simulation, sustainable materials, 3D visualization, and manufacturing management, ensuring efficient, safe solutions that meet current industry standards.
4. Aerospace Rotor Simulations with HPC: Modeling and Performance
- Master aerospace rotor modeling using high-performance computing (HPC) tools.
- Understand and simulate complex phenomena such as flap-lag-torsion coupling, critical for rotor stability.
- Evaluate susceptibility to whirl flutter, a hazardous vibration mode.
- Study fatigue behavior and predict component lifespan.
- Design and analyze composite laminates, optimizing their structural performance.
- Evaluate the integrity of bonded joints and bonded joints using finite element (FE) analysis.
- Apply damage tolerance methodology to ensure safety in the event of failures.
- Utilize non-standard testing techniques Destructive testing (NDT) such as UT, RT, and thermography for inspection.
[ul]
5. Flow Analysis and Design of Aerospace Rotors with HPC
- Master computational fluid dynamics (CFD) analysis to simulate the aerodynamic behavior of rotors.
- Apply high-performance design (HPC) methods to optimize rotor efficiency and performance.
- Understand the influence of rotor geometry on airflow and the generation of lift and thrust.
- Analyze rotor behavior under specific flight conditions, including different speeds and angles of attack.
- Use specialized software to model, simulate, and analyze aerospace rotor design.
- Evaluate rotor stability and control, identifying potential problems and proposing solutions.
- Understand the theoretical foundations of rotor aerodynamics and its practical application in design.
- Optimize rotor design to reduce aerodynamic drag and improve fuel efficiency.
- Analyze the behavior of the rotors in different environments, such as high altitudes and adverse weather conditions.
- Evaluate the lifespan and durability of the rotors, considering factors such as fatigue and wear.
6. HPC Simulation of Rotors: Aerospace Performance Modeling and Analysis
6. HPC Simulation of Rotors: Aerospace Performance Modeling and Analysis
- Design rotor models using high-performance computing (HPC).
- Understand the fundamentals of rotor aerodynamics and its interaction with airflow.
- Master CFD (Computational Fluid Dynamics) modeling techniques to simulate rotor behavior.
- Use HPC simulation tools to analyze rotor performance under different operating conditions.
- Analyze flap-lag-torsion, whirl flutter, and fatigue couplings.
- Implement finite element analysis (FEA) models for the structural analysis of rotors.
- Dimension laminates in composites, joints, and bonded joints with FE.
- Study the behavior of composite materials in rotors and their impact on design.
- Learn about design optimization techniques applied to rotors.
- Implement damage tolerance and NDT (UT/RT/thermography).
- Evaluate rotor performance by analyzing simulation results.
- Interpret simulation data and draw relevant conclusions for rotor design and optimization.
- Apply the acquired knowledge to solve real-world problems in the aerospace industry.
- Become familiar with the latest trends and advances in rotor simulation.
Who this program is for:
HPC course for aerospace simulation
- Graduates in Aerospace Engineering, Mechanical Engineering, Industrial Engineering, Automation Engineering, or related fields.
- Professionals in OEM rotorcraft/eVTOL, MRO, consulting, and technology centers.
- Flight Testing, certification, avionics, control, and dynamics seeking specialization.
- Regulators/authorities and UAM/eVTOL professionals requiring compliance skills.
Recommended requirements: foundation in aerodynamics and control and structures; ES/EN B2+/C1. We offer bridging tracks if you need them.
- Standards-driven curriculum: you will work with CS-27/CS-29, DO-160, DO-178C/DO-254, ARP4754A/ARP4761, ADS-33E-PRF from the first module.
- Accreditable laboratories (EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
- Evidence-oriented TFM: safety case, test plan, compliance dossierand operational limits.
- Mentored by industry: teachers with experience in rotorcraft, tiltrotor, eVTOL/UAM and flight test.
- Flexible modality (hybrid/online), international cohorts and support from SEIUM Career Services.
- Ethics and security: safety-by-design approach, cyber-OT, DIH and compliance as pillars.
1. HPC Optimization for Aerodynamics and Flight Dynamics Simulations
1.1 Introduction to Computational Aerodynamics and Computational Fluid Dynamics (CFD)
1.2 HPC Fundamentals: Hardware and Software Architectures
1.3 Parallelization and Code Optimization for HPC
1.4 Mesh Modeling and Boundary Conditions for Simulations
1.5 HPC Applications in Fixed-Wing Aerodynamics Simulations
1.6 Flight Dynamics Simulation: Equations and Numerical Methods
1.7 Stability and Control Analysis Using HPC
1.8 Aerodynamic Design and Optimization with HPC
1.9 Validation and Verification of Simulation Results
1.10 Case Studies: Practical Applications in Industry
2. Advanced Analysis of Aerospace Systems Using High-Performance Computing
2.1 Introduction to Aerospace Systems and Their Complexity
2.2 Advanced CFD Methods for Complex Flows
2.3 Turbulence Simulation: HPC Models and Techniques
2.4 Aeroelasticity and Fluid-Structure Interaction Simulation
2.5 Engine Combustion Modeling and Simulation
2.6 Aerodynamic Noise Analysis with HPC
2.7 Simulation of Laminar-Turbulent Transition Phenomena
2.8 Multidisciplinary Optimization of Aerospace Systems
2.9 Use of HPC in Hypersonic Vehicle Design
2.10 Case Studies: Applications in Aircraft and Rocket Design
3. Aerospace Simulation: Mastering HPC in Modeling, Analysis, and Optimization
3.1 Introduction to Aerospace Simulation and Its Importance
3.2 Selection of HPC Simulation Software and Tools
3.3 Modeling Complex Geometries for Simulations 3.4 Mesh Generation and Adaptation in HPC
3.5 Simulation of Incompressible and Compressible Flows
3.6 Results Analysis and Simulation Visualization
3.7 Simulation-Based Optimization Techniques
3.8 Integration of Simulations with Computer-Aided Design (CAD)
3.9 Applications in the Design of Spacecraft and Drones
3.10 Case Studies: Practical Applications in the Aerospace Industry
4. Aerospace Rotor Simulations with HPC: Modeling and Performance
4.1 Introduction to Rotor Aerodynamics and its Complexity
4.2 Rotor Modeling: Blade Element Theory and CFD Methods
4.3 Mesh Generation for Rotor Simulations
4.4 Rotor Flow Simulation: HPC Techniques and Methods
4.5 Rotor Performance Analysis: Lift, Drag, Power
4.6 Simulation of wake and vortex effects in rotors.
4.7 Study of rotor-rotor and rotor-body interaction.
4.8 Optimization of rotor design using HPC.
4.9 Applications in helicopters, drones, and wind turbines.
4.10 Case studies: Practical applications in industry.
5. Flow Analysis and Design of Aerospace Rotors with HPC
5.1 Review of the fundamentals of rotor aerodynamics.
5.2 CFD methods for flow analysis in rotors.
5.3 Advanced techniques for simulating turbulence in rotors.
5.4 Modeling of fluid-structure interaction in rotors.
5.5 Rotor stability and control analysis.
5.6 Optimization of rotor blade design.
5.7 Aerodynamic design of rotors using HPC. 5.8 Rotor Noise Simulation and Mitigation
5.9 Applications in Helicopters, Drones, and Wind Turbines
5.10 Case Studies: Design and Analysis of Next-Generation Rotors
6. HPC Rotor Simulation: Aerospace Performance Modeling and Analysis
6.1 Introduction to HPC Rotor Simulation
6.2 Simulation Software Selection and Configuration
6.3 Rotor Model Creation and Mesh Generation
6.4 Setting Boundary Conditions and Simulation Parameters
6.5 Rotor Performance Analysis: Lift, Drag, Power
6.6 Analysis of the Wake and Vortices Generated by the Rotor
6.7 Visualization Techniques and Results Analysis
6.8 Validation of Simulation Results
6.9 Rotor Design Optimization Using Simulation 6.10 Case Studies: Rotor Simulation in Different Applications
7. HPC Implementation in Aerodynamic Simulations: Modeling and Analysis of Rotating Structures
7.1 Introduction to High-Performance Computing (HPC) and its Application in Aerodynamics
7.2 Fundamentals of Rotating Structure Aerodynamics
7.3 Modeling Rotating Structures for Simulation
7.4 Generating Suitable Meshes for HPC Simulations
7.5 Selecting and Configuring Simulation Software
7.6 Implementing Parallelization Techniques and Code Optimization
7.7 Analyzing Results and Validating Simulations
7.8 Applying HPC Simulation to the Analysis of Rotors and Wind Turbines
7.9 Optimizing the Design of Rotating Structures Using HPC Simulation
7.10 Case Studies: Applications in the Aerospace and Renewable Energy Industries
8. HPC Simulation in Aerospace Rotors: Modeling, Analysis, and Optimization
8.1 Introduction to HPC simulation in rotors.
8.2 Rotor modeling and high-quality mesh generation.
8.3 Setting boundary conditions and simulation parameters.
8.4 Selecting and tuning turbulence models.
8.5 Rotor performance analysis and aerodynamic characterization.
8.6 Analysis of the wake and vortices generated by the rotor.
8.7 Rotor design optimization techniques.
8.8 Implementing optimization and search algorithms.
8.9 Validating results and comparing them with experimental data.
8.10 Case studies: Applications in helicopters, drones, and wind turbines.
2.2 Fundamentals of HPC Optimization
2.2 Introduction to HPC Architecture and Parallelization
2.3 Tools and Programming Languages for HPC
2.4 HPC Applications in Aerodynamics: Computational Flow (CFD)
2.5 Mesh Optimization and Geometry Generation
2.6 Optimization Techniques in CFD: Algorithms and Methods
2.7 Sensitivity Analysis and Experimental Design
2.8 Implementing HPC in Aerodynamic Simulations
2.9 Case Studies: Optimization of Airfoils and Wings
2.20 Validation and Verification of HPC Results
3.3 Introduction to High-Performance Computing (HPC) and its Relevance in Aerospace Simulation
3.2 Fundamentals of Numerical Simulation in Aerodynamics and Flight Dynamics
3.3 HPC System Architecture and its Key Components
3.4 Essential Tools and Software for HPC Simulation
3.5 Simulation Methodologies and Workflow for Aerospace Problems
3.6 Introduction to Code Optimization for HPC
3.7 Results Analysis and Data Visualization in Aerospace Simulations
3.8 Practical Examples of HPC Applications in the Aerospace Industry
3.9 Scalability and Efficiency Considerations in HPC Simulations
3.30 Future Trends in Aerospace Simulation with HPC
2.3 Code Optimization Strategies for HPC
2.2 Parallelization of Algorithms in Aerospace Simulations 2.3 Performance Optimization Techniques for CFD and Flight Dynamics Applications
2.4 Using Optimization Libraries and Tools
2.5 Optimizing Memory Utilization and Data Management in HPC
2.6 Optimizing Interprocessor Communication
2.7 Mesh Optimization Methods and Numerical Discretization
2.8 Performance Analysis and Fine-Tuning of HPC Simulations
2.9 Case Studies: Optimization Examples in Aerospace Simulations
2.30 Performance Analysis Tools and Code Profiling
3.3 Turbulent Flow Modeling in Aerospace Simulations with HPC
3.2 Advanced Turbulence Modeling Techniques: LES and DNS
3.3 Transonic and Supersonic Flow Simulation with HPC
3.4 Fluid-Structure Interaction (FSI) Modeling in Aerospace Simulations 3.5 Combustion and Chemical Modeling Techniques in Complex Flows
3.6 Simulation of Boundary Layer Phenomena and Flow Separation
3.7 Aerodynamic Modeling of Complex Bodies and Aerospace Systems
3.8 Introduction to Aerodynamic Noise Simulation with HPC
3.9 Validation and Verification of Advanced Simulation Models
3.30 Case Studies: Applications of Advanced Modeling in Industry
4.3 Introduction to Aerospace Rotor Modeling
4.2 Fundamentals of Rotor Aerodynamics
4.3 Rotor Simulation Methods: BEM, CFD, and Hybrid Methods
4.4 Modeling the Navier-Stokes Equations for Rotors
4.5 Discretization and Numerical Solution Techniques for Rotors
4.6 Simulation of Rotor Aerodynamics under Different Flight Conditions 4.7 Rotor Performance Analysis: Lift, Drag, and Efficiency
4.8 Modeling Rotor-Vortex Interaction (RVI) Effects
4.9 Rotor Design Optimization for Performance Improvement
4.30 Case Studies: Rotor Simulation Applications in Industry
5.3 Aerospace Rotor Design Principles
5.2 Aerodynamic Design of Rotor Blades: Airfoil Selection
5.3 Rotor Geometry Design: Twist, Taper, and Chord Distribution
5.4 Rotor Stability and Control Analysis
5.5 Rotor Design Optimization Using Genetic Algorithms
5.6 Integrating HPC Simulation into the Rotor Design Process
5.7 Rotor Design for Specific Flight Conditions
5.8 Rotor Design Sensitivity Analysis to Input Variables 5.9 Introduction to Rotor Design for Unmanned Aerial Vehicles (UAVs)
5.30 Practical Applications of Rotor Design in the Aerospace Industry
6.3 Rotor Modeling in HPC Simulation: Solution Methods
6.2 Analysis of Rotor Performance in Different Flight Regimes
6.3 Simulation of Steady and Transient Flow Around Rotors
6.4 Modeling of Rotor-Rotor Interaction Effects
6.5 Techniques for Visualizing and Analyzing Simulation Results
6.6 Analysis of Rotor Efficiency and Performance
6.7 Simulation of Aerodynamic Noise Generated by Rotors
6.8 Study of the Influence of Rotor Design on Performance
6.9 Validation of Simulation Models by Comparison with Experimental Data
6.30 Applications of HPC Rotor Simulation in the Aerospace Industry
7.3 Modeling Rotating Structures with Finite Elements
7.2 Stress and Strain Analysis in Rotor Blades
7.3 Fluid-Structure Interaction (FSI) Modeling in Rotors
7.4 Simulation of the Dynamic Response of Rotors
7.5 Fatigue and Service Life Analysis of Rotating Structures
7.6 Introduction to Vibration Modeling in Rotors
7.7 Simulation of Vibration Modes and Natural Frequencies
7.8 Design of Rotating Structures to Minimize Vibrations
7.9 Optimization of Rotating Structures Using HPC Simulation
7.30 Practical Applications of Rotating Structure Modeling in Industry
8.3 Introduction to Aerospace Rotor Optimization
8.2 Defining Objectives and Constraints in Rotor Optimization
8.3 Numerical Optimization Techniques Applied to Rotors 8.4 Genetic Algorithms and Population-Based Optimization
8.5 Design of Experiments and Sensitivity Analysis
8.6 Optimization of Rotor Blade Shape
8.7 Optimization of Aerodynamic and Structural Rotor Design
8.8 Multi-Objective Optimization in Rotor Design
8.9 Validation and Verification of Optimization Results
8.30 Case Studies: Applications of Optimization in Industry
4.4 Fundamentals of Rotor Aerodynamics and Disk Theory
4.2 Introduction to High-Performance Computing (HPC)
4.3 Implementing HPC in Rotor Simulations
4.4 Detailed Modeling of Rotor Blades
4.5 Computational Flow Analysis (CFD) for Rotors
4.6 Advanced Mesh Techniques for Rotors
4.7 Performance Studies: Thrust, Power, and Efficiency
4.8 Rotor Design Optimization with HPC
4.9 Rotor Stability and Control Analysis
4.40 Applications and Case Studies in the Aerospace Industry
5.5 Introduction to HPC Optimization: Concepts and Benefits
5.5 HPC Architecture: Relevant Hardware and Software
5.3 Methodology for Configuring Aerodynamic Simulations
5.4 Parallelization Techniques for Flight Dynamics
5.5 Tools and Software for HPC Optimization
5.6 Case Studies: Applications in Rotary Aircraft
5.7 Results Analysis and Performance Metrics
5.8 Troubleshooting and Code Optimization
5.9 Future Trends in HPC and Simulation
5.50 Evaluation and Challenges in HPC Implementation
5.5 Introduction to High-Performance Computing (HPC) in Aerospace Systems
5.5 HPC Applications in Aerodynamic and Dynamic Analysis
5.3 Configuring HPC Environments for Advanced Simulations
5.4 Modeling and Simulating Complex Flows
5.5 Stability and Control Analysis in Aerospace Systems 5.6 Design Optimization Using HPC
5.7 Data Visualization and Analysis Techniques in HPC
5.8 Case Studies: Application to Different Aircraft Types
5.9 Challenges and Opportunities in Aerospace Research
5.50 Implementation and Efficiency Considerations in HPC
3.5 Introduction to Aerospace Simulation with HPC
3.5 Simulation Software Selection and Configuration
3.3 Geometry and Mesh Modeling for Analysis
3.4 Computational Fluid Dynamics (CFD) Analysis
3.5 Flight Simulation and Stability Analysis
3.6 Optimization and Design Techniques
3.7 Rotor Model Implementation and Performance Analysis
3.8 Data Analysis and Results Visualization
3.9 Case Studies: Specific Industry Applications 3.50 Challenges and Future Trends in HPC Simulation
4.5 Rotor Modeling: Theory and Practice
4.5 Selecting Appropriate Rotor Models for HPC
4.3 Setting Up HPC Simulations for Rotors
4.4 Performance Analysis: Lift, Drag, and Efficiency
4.5 Visualization Techniques and Results Analysis
4.6 Validating Results and Comparing Them with Experimental Data
4.7 Case Studies: Analyzing Different Rotor Configurations
4.8 Optimizing Rotor Design Using HPC
4.9 Challenges in Rotor Simulation with HPC
4.50 Future Trends in Rotor Modeling and Performance
5.5 Introduction to Computational Fluid Dynamics (CFD) for Rotors
5.5 Aerodynamic Design of Rotors Using HPC 5.3 Mesh configuration and optimization for flow analysis.
5.4 Steady and transient flow simulation.
5.5 Analysis of forces, moments, and pressures in rotors.
5.6 Design and analysis of airfoil profiles.
5.7 Optimization of rotor design using CFD.
5.8 Validation of results with experimental data.
5.9 Case studies: design of specific rotors.
5.50 Future trends in flow analysis and rotor design with HPC.
6.5 Introduction to HPC rotor simulation.
6.5 Simulation modeling and configuration.
6.3 Aerodynamic performance analysis.
6.4 Performance metrics and evaluation.
6.5 Impact of design variables on performance.
6.6 Case studies: analysis of different rotor configurations. 6.7 Design Optimization for Improved Performance
6.8 Data Visualization and Analysis Techniques
6.9 Challenges and Solutions in HPC Simulation
6.50 Future Trends in Rotor Simulation
7.5 Introduction to Rotating Structures and HPC
7.5 Modeling Rotating Structures
7.3 Stress and Strain Analysis
7.4 Fatigue and Service Life Simulation
7.5 Integration of Aerodynamic and Structural Analysis
7.6 Vibration and Noise Analysis
7.7 Structural Optimization Using HPC
7.8 Implementing Finite Element Models (FEM) in HPC
7.9 Case Studies: Specific Applications
7.50 Challenges and Trends in Rotating Structure Simulation
8.5 Introduction to Rotor Optimization with HPC 8.5 Optimization Methods Applied to Rotor Design
8.3 Definition of Objectives and Constraints
8.4 Experimental Design and Sensitivity Analysis
8.5 Optimization of Rotor Shape and Profile
8.6 Optimization of Operating Parameters
8.7 Integration of Optimization with HPC Simulation
8.8 Case Studies: Optimization of Different Rotor Designs
8.9 Validation and Verification of Results
8.50 Future Trends in Rotor Optimization with HPC
6.6 Fundamentals of Computational Fluid Dynamics (CFD) for Rotors
6.2 Rotor Modeling: Geometry, Mesh, and Boundary Conditions
6.3 Introduction to High-Performance Computing (HPC) in Simulation
6.4 Implementing CFD in HPC: Workflows and Optimization
6.5 Rotor Performance Analysis: Thrust, Power, and Efficiency
6.6 Transient Simulation of Rotors: Stability and Response
6.7 Design and Optimization of Rotor Blades with HPC
6.8 Validation and Verification of Rotor Simulations
6.9 Applications of HPC in the Aerospace Industry
6.60 Future Trends in Rotor Simulation with HPC
- Hands-on methodology: test-before-you-trust, design reviews, failure analysis, compliance evidence.
- Software (depending on licenses/partners): MATLAB/Simulink, Python (NumPy/SciPy), OpenVSP, SU2/OpenFOAM, Nastran/Abaqus, AMESim/Modelica, acoustics tools, planning toolchains DO-178C.
- SEIUM Laboratories: scale rotor bench, vibrations/acoustics, EMC/Lightning pre-compliance, HIL/SIL for AFCS, data acquisition with strain gauging.
- Standards and compliance: EN 9100, 17025, ISO 27001, GDPR.
Capstone-type projects
Admissions, fees, and scholarships
- Profile: Background in Computer Engineering, Mathematics, Statistics, or related fields; practical experience in NLP and valued information retrieval systems.
- Documentation: Updated CV, academic transcript, SOP/statement of purpose, project examples or code (optional).
- Process: Application → Technical evaluation of profile and experience → Technical interview → Review of case studies → Final decision → Enrollment.
- Fees:
- Single payment: 10% discount.
- Payment in 3 installments: No fees; 30% upon registration + 2 equal monthly payments of the remaining 35%.
Monthly payment: available with a 7% commission on the total; annual review.
Scholarships: based on academic merit, financial need, and promoting inclusion; agreements with companies in the sector for partial or full scholarships.
See “Calendar & Calls for Applications,” “Scholarships & Grants,” and “Fees & Financing” in the SEIUM mega-menu.
Do you have any questions?
Our team is ready to help you. Contact us, and we will respond as soon as possible.
F. A. Q
Frequently asked questions
Yes, we have international certification
Yes: experimental models, real data, applied simulations, professional environments, real case studies.
It is not mandatory. We offer leveling tracks and tutoring.
Completely. It covers e-propulsion, integration, and emerging regulations (SC-VTOL).
Recommended. There are also internal challenges and consortiums.
Yes. Online/hybrid modality with planned labs and visa support (see “Visa & Residence”).