Core contributor to TILDA (industrial LES/DNS for aeronautics), HIFI-TURB (high-fidelity turbulence data and ML models), and ASTORIA (inlet distortion simulation).
CENTRE DE RECHERCHE EN AERONAUTIQUE ASBL - CENAERO
Belgian aeronautics research SME specializing in computational simulation — CFD, composite structures, and engine-airframe integration for European aerospace programmes.
Their core work
CENAERO is a Belgian aeronautics research centre specializing in computational simulation and high-performance computing applied to aerospace engineering challenges. They develop advanced numerical methods for aerodynamics, structural composites, and engine-airframe integration — translating complex physics into predictive tools that aircraft and engine manufacturers can use in design. Their work spans from turbulence modelling and CFD to structural damage prediction in composite materials, serving both the Clean Sky and broader European aerospace R&D ecosystem.
What they specialise in
Coordinated PSIDESC (defect prediction in structural composites), participated in TIOC-Wing (tyre impact on composite panels) and ENHAnCE (prognostics for composite aerostructures).
Participated in ARIAS (aeromechanical solutions including flutter and forced response) and coordinated ASTORIA on inlet distortion and fan aeromechanics.
Coordinated both IPANEMA (inlet particle separator assessment) and ASTORIA (steady/unsteady distortion for UHBR engines and BLI configurations).
Participated in PRACE-5IP (HPC infrastructure) and EUROCC (national HPC competence centre with industry training focus).
HIFI-TURB explicitly combines machine learning and big data with turbulence modelling — signals a shift toward data-driven simulation methods.
How they've shifted over time
In their early H2020 period (2014–2018), CENAERO focused on classical aeronautics simulation — regional aircraft design, industrial-scale CFD methods (TILDA), and HPC infrastructure (PRACE). From 2019 onward, their work shifted noticeably toward two directions: advanced engine integration challenges (inlet distortion, BLI, UHBR fans in ASTORIA) and composite materials reliability (PSIDESC, TIOC-Wing, ENHAnCE with digital twins and prognostics). The recent appearance of machine learning and big data keywords in HIFI-TURB signals they are moving from pure physics-based simulation toward hybrid data-driven approaches.
CENAERO is evolving from a traditional CFD house toward a hybrid simulation centre that combines physics-based modelling with machine learning and digital twin concepts — making them increasingly relevant for predictive maintenance and virtual testing collaborations.
How they like to work
CENAERO balances coordination and participation: they led 3 of 12 projects (all in Clean Sky 2 or joint technology initiatives), showing they can manage focused technical projects but prefer to contribute specialist simulation expertise within larger consortia. With 199 unique partners across 36 countries, they maintain a broad European network rather than relying on a fixed circle. Their average project funding of ~€333K suggests they take well-scoped technical work packages rather than large infrastructure roles.
CENAERO has collaborated with 199 distinct partners across 36 countries, giving them one of the broader networks you would expect from a mid-sized aeronautics research centre. Their Clean Sky 2 involvement connects them directly to major European aerospace OEMs and their supply chains.
What sets them apart
CENAERO sits at the intersection of high-performance computing and aerospace simulation — a niche that few SME-sized research centres occupy. Unlike large national aerospace labs, they are small enough to be agile and focused, yet technically deep enough to coordinate Clean Sky 2 projects on engine inlet design and composite defect prediction. For consortium builders, they bring serious computational muscle without the overhead of a large institution, and their dual expertise in aerodynamics and structural composites makes them a versatile partner for next-generation aircraft programmes.
Highlights from their portfolio
- ASTORIATheir largest coordinated project (€700K) tackling inlet distortion simulation for next-generation ultra-high bypass ratio engines — directly relevant to future aircraft propulsion design.
- EUROCCTheir highest single funding (€1M) as Belgium's HPC competence centre, bridging supercomputing capabilities to industrial users including SMEs.
- ENHAnCEA Marie Skłodowska-Curie training network combining prognostics, digital twins, and composite structures — signals their move into predictive maintenance and Industry 4.0 territory.