NEXTAIR - multi-disciplinary digital - enablers for NEXT-generation AIRcraft design and operations

Climate, Energy & MobilityHORIZON-RIAID: 101056732
EC Contribution
€47,205
Consortium Size
16 orgs
Start Year
2022
Summary

Radical changes in aircraft configurations and operations are required to meet the target of climate-neutral aviation. To foster this transformation, innovative digital methodologies are of utmost importance to enable the optimisation of aircraft performances.NEXTAIR will develop and demonstrate innovative design methodologies, data-fusion techniques and smart health-assessment tools enabling the digital transformation of aircraft design, manufacturing and maintenance. NEXTAIR proposes digital enablers covering the whole aircraft life-cycle devoted to ease breakthrough technology maturation, their flawless entry into service and smart health assessment. They will be demonstrated in 8 industrial test cases, representative of multi-physics industrial design, maintenance problems and environmental challenges and interest for aircraft and engines manufacturers.NEXTAIR will increase high-fidelity modelling and simulation capabilities to accelerate and derisk new disruptive configurations and breakthrough technologies design. NEXTAIR will also improve the efficiency of uncertainty quantification and robust optimisation techniques to effectively account for manufacturing uncertainty and operational variability in the industrial multi-disciplinary design of aircraft and engine components. Finally, NEXTAIR will extend the usability of machine learning-driven methodologies to contribute to aircraft and engine components' digital twinning for smart prototyping and maintenance. NEXTAIR brings together 16 partners from 6 countries specialised in various disciplines: digital tools, advanced modelling and simulation, artificial intelligence, machine learning, aerospace design, and innovative manufacturing. The consortium includes 9 research organisations, 4 leading aeronautical industries providing digital-physical scaled demonstrator aircraft and engines and 2 high-Tech SME providing expertise in industrial scientific computing and data intelligence.

Consortium (16)

Project Results (36)

Source: CORDIS, the EU research results database.

Publications (31)
A machine-learning based approach for multi-scale optimisation of heat exchangers with lattice-like topology
International Journal of Heat and Mass Transfer· 2026DOI
A. Chiodi, A. Alaia, E. Lombardi, M. Cisternino, K. Gkaragkounis, A. Ferrero, S. Shahpar
OPTIMISING BLADE GEOMETRIES TO ENHANCE PERFORMANCE IN AXIAL COMPRESSORS WITH CASING TREATMENTS
· 2026
Anirudh Rao, Shahrokh Shahpar, Francesco Montomoli, Philip Athayade, Michael W.
Aero-Thermal-Structural Optimization of a High-Pressure Turbine Rotor With Robustness Evaluation to In-Service Deterioration
Volume 10: Turbomachinery — Axial Flow Fan & Compressor Aerodynamics; Axial Flow Turbine Aerodynamics· 2025DOI
Mario Carta, Roberto Putzu, Tiziano Ghisu, Shahrokh Shahpar
Aerospace Science and Technology
Aerospace Science and Technology· 2025DOI
Roberto Putzu; Mario Carta; Tiziano Ghisu; Shahrokh Shahpar; Anastasios Kovanis
Controlling the Secondary Flows in a Modern Aero-Engine Fan Using Vortex Generators
Volume 10: Turbomachinery — Axial Flow Fan & Compressor Aerodynamics; Axial Flow Turbine Aerodynamics· 2025DOI
Roberto Putzu, Mario Carta, Tiziano Ghisu, Shahrokh Shahpar, Anastasios Kovanis
High-Fidelity Digital Twins of In-Service High-Pressure Turbine Blades
Journal of Physics: Conference Series· 2025DOI
Pierluca Dessi, Mario Carta, Roberto Putzu, Tiziano Ghisu, Shahrokh Shahpar
High-Fidelity Multidisciplinary Optimisation Processes For Solving Aero-Structural Problems: Recent Developments From An Industrial Perspective.
III ECCOMAS Thematic Conference on Multidisciplinary Design Optimization of Aerospace Systems· 2025
J. Brezillon, I. Fadli, K. Thanissaranon and C. Conlan-Smith
Multi-disciplinary design optimization under uncertainty: the open source capabilities of GEMSEO
UNCECOMP· 2025
Matthias De Lozzo, Clément Laboulfie, Olivier Sapin, Nicolas Roussouly, François Gallard, Amine Aziz Alaoui, Antoine Dechaume, Anne Gazaix
Secondary flow control in a modern aero-engine fan using vortex generators
Aerospace Science and Technology· 2025DOI
Roberto Putzu, Mario Carta, Tiziano Ghisu, Shahrokh Shahpar, Anastasios Kovanis
TOWARD DISTRIBUTED AND SCALABLE MULTI-DISCIPLINARY OPTIMIZATION WITH GEMSEO
Aerobost· 2025
Jean-Christophe Giret, François Gallard, Antoine Dechaume, Jérôme Fasquel, Jean-François Figué and Anne Gazaix
A First Assessment of Adjoint Body-Force Modeling Capabilities for Fan Design
AIAA· 2024DOI
Cyril Dosne, Raphaël Barrier, Sébastien Bourasseau, Marco Carini, Rocco Moretti and Jacques Peter
Analysis of the aerothermal performance of modern commercial high-pressure turbine rotors using different levels of fidelity
Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy· 2024DOI
Mario Carta, Shahrokh Shahpar, Tiziano Ghisu
Combustor Traverse Optimization to Lower High-Pressure Turbine Rotor Temperatures
Volume 12B: Turbomachinery — Axial Flow Turbine Aerodynamics; Deposition, Erosion, Fouling, and Icing· 2024DOI
Mario Carta, Tiziano Ghisu, Shahrokh Shahpar
Continuous Adjoint-Based Optimization of a High Aspect-Ratio Wing Business Jet in Transitional Flows
9th European Congress on Computational Methods in Applied Sciences and Engineering· 2024
M.G. Kontou, X.S. Trompoukis, V.G. Asouti, K.C. Giannakoglou.
High-Fidelity Multidisciplinary Design Trade Study of Short-Medium Range Aircraft with High Aspect-Ratio Wing
ECCOMAS 2024· 2024
M. Abu-Zurayk, J. Brezillon, A. Balani, K. Sinha, C. Ilic, A. Attravanam, C. Conlan-Smith, K. Thanissaranon
Multi-Fidelity Modelling of the Effect of Combustor Traverse on High-Pressure Turbine Temperatures
Aerospace· 2024DOI
Mario Carta; Shahrokh Shahpar; Tiziano Ghisu; Fabio Licheri
Multi-Fidelity Modelling of the Effect of Combustor Traverse on High-Pressure Turbine Temperatures
Aerospace· 2024DOI
Mario Carta, Shahrokh Shahpar, Tiziano Ghisu, Fabio Licheri
Multidisciplinary Optimisation of Additive Manufactured Heat Exchangers for Aeronautical Applications
Volume 13: Heat Transfer: General Interest / Additive Manufacturing Impacts on Heat Transfer; Wind Energy· 2024DOI
Alessandro Chiodi, Alessandro Alaia, Edoardo Lombardi, Marco Cisternino, Konstantinos Gkaragkounis, Shahrokh Shahpar
The continuous adjoint method to the γ−R˜eθt$$ \gamma -\tilde{R}{e}_{\theta t} $$ transition model coupled with the Spalart–Allmaras model for compressible flows
International Journal for Numerical Methods in Fluids· 2024DOI
Marina G. Kontou, Xenofon S. Trompoukis, Varvara G. Asouti, Kyriakos C. Giannakoglou
AN ADJOINT BODY-FORCE APPROACH FOR FULLY-COUPLED AERO-PROPULSIVE OPTIMIZATIONS
Eccomas Proceedia EUROGEN (2023)· 2023DOI
Cyril Dosne; Raphaël Barrier, Sébastien Bourasseau, Marco Carini, Rocco Moretti and Jacques Peter.
COMPARISON OF EFFICIENT UNCERTAINTY QUANTIFICATION TECHNIQUES ON A TRANSONIC AIRFOIL, USING RANS COMPUTATIONS AND ADJOINT METHOD
Eccomas Proceedia EUROGEN (2023)· 2023DOI
Quentin Bennehard, Jacques Peter, and Marco Carini
Computer Vision-Based Performance Forecasting for Turbomachinery
Processing of the 1st International Symposium on AI and Fluid Mechanics· 2023
Anirudh Rao, Shahrokh Shahpar, Francesco Montomoli, Mario Carta, Tiziano Ghisu
Enhancing Decision Making in MDO through Interactive Visual Analytics on the Web
Proceedings of the 28th International ACM Conference on 3D Web Technology· 2023DOI
Henriques-Gil, Javier and Mejia Parra, Daniel and Simoes, Bruno
Framework-assisted implementation of an aircraft aero-structural-powerplant multidisciplinary optimization process using GEMSEO
Eurogen· 2023
Časlav Ilić, Mohammad Abu-Zurayk, Patrick Wegener, Martin Bauer, Achyuth Attravanam, Thomas Klimmek, Matthias Schulze, Kautuk Sinha , Jannik Häßy, Anne Gazaix, François
Heat Transfer Analysis of Damaged Shrouded High-Pressure Turbine Rotor Blades
Int. J. Turbomach. Propuls. Power· 2023DOI
Carta, M., Ghisu, T., Shahpar, S.
Multi-Fidelity Heat Transfer Analysis of Shrouded High-Pressure Turbine Rotor Blades
Volume 13B: Turbomachinery — Axial Flow Turbine Aerodynamics· 2023DOI
Mario Carta, Tiziano Ghisu, Shahrokh Shahpar
Radial Basis Function Surrogates for Uncertainty Quantification and Aerodynamic Shape Optimization under Uncertainties
Fluids· 2023DOI
Marina G. Kontoua, Varvara G. Asoutia, Kyriakos C. Giannakogloua
Radial Basis Function Surrogates for Uncertainty Quantification and Aerodynamic Shape Optimization under Uncertainties
Fluids· 2023DOI
Varvara Asouti; Marina Kontou; Kyriakos Giannakoglou
Secondary Flow Control of Turbomachinery Blades Using Vortex Generators
Volume 13A: Turbomachinery — Axial Flow Fan and Compressor Aerodynamics· 2023DOI
Roberto Putzu, Tiziano Ghisu, Shahrokh Shahpar
TOWARDS REAL-TIME CFD
15th International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control· 2023
Anirudh Rao, Shahrokh Shahpar, Francesco Montomoli
MACHINE LEARNING APPLIED TO TURBULENCE MODELLING FOR INDUSTRIAL AERONAUTICAL APPLICATIONS
Guillaume Laruelle, Flavien Billard, Gilbert Rogé, Michel Mallet
Deliverables (4)
Other Results (1)
Periodic Reporting for period 1 - NEXTAIR (NEXTAIR - multi-disciplinary digital - enablers for NEXT-generation AIRcraft design and operations)