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

Informazioni relative al progetto

NEXTAIR

ID dell’accordo di sovvenzione: 101056732

DOI

10.3030/101056732

Progetto chiuso

Data della firma CE 11 Maggio 2022

Data di avvio 1 Settembre 2022

Data di completamento 31 Dicembre 2025

Finanziato da

• Climate, Energy and Mobility

Costo totale

€ 4 720 526,75

Contributo UE

€ 4 720 525,00

Coordinato da

OFFICE NATIONAL D'ETUDES ET DE RECHERCHES AEROSPATIALES
France

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (2)

Assessment of transition models & their adjoints

Development of the Adjoints to the Transition Models used in NEXTAIR. Presentation of results on the NLF wing, comparisons, assessement of the use of the adjoint to the transition model in terms of the accuracy of objective function gradients. Linked to task 1.2.

DENs to Speed-up MDOs

Report on the benefits from (b) linking the NEXTAIR s/w with EuroHPC programs, (b) using multi-level approaches in MDO, (c) mesh adaptation in laminar wing cases, (d) computing Pareto fronts by adjoint. Report on techniques to reduce the cost of unsteady adjoint. All with demonstration in NEXTAIR cases. Linked to task 1.3.

Demonstrators, pilots, prototypes (1)

Instant CFD demonstrator on NACA0012 design and ONERA M6 wing cases (publicly available)

Demonstrators of (i) a hybrid deep learning and multi-ridge framework that can predict entire RANS flow-field instanteously (ii) dimension reduction methods for flow-fields rooted in computational optimal transport and manifold optimisation; and (iii) lambda-DNN based approach for fluid flow-field and interactions. The outputs will directly feed into the robust design of a high bypass-ratio fan in WP4/WP5, along with the Digital Twin of the heat exchanger in task 6.3. The lambda-DNN approach will be deployed in WP3/4. Linked to methodologies devloped in task 2.1.

Websites, patent fillings, videos etc. (1)

Communication kit (social media, website, flyer, video)

Creation and delivery of the complete visual identity materials to partners in order to ensure the transfer of a recognisable and coherent image of the project in all communication and dissemination activities. Linked to task 7.2.

Pubblicazioni

Conference proceedings (20)

TOWARDS REAL-TIME CFD

Autori: Anirudh Rao, Shahrokh Shahpar, Francesco Montomoli
Pubblicato in: 15th International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control, 2023
Editore: International Conference on Computational Fluid Dynamics (ICCFD10)

Continuous Adjoint-Based Optimization of a High Aspect-Ratio Wing Business Jet in Transitional Flows

Autori: M.G. Kontou, X.S. Trompoukis, V.G. Asouti, K.C. Giannakoglou.
Pubblicato in: 9th European Congress on Computational Methods in Applied Sciences and Engineering, 2024
Editore: Volume PhD Olympiad

AN ADJOINT BODY-FORCE APPROACH FOR FULLY-COUPLED AERO-PROPULSIVE OPTIMIZATIONS

Autori: Cyril Dosne; Raphaël Barrier, Sébastien Bourasseau, Marco Carini, Rocco Moretti and Jacques Peter.
Pubblicato in: Eccomas Proceedia EUROGEN (2023), 2023
Editore: ECCOMAS
DOI: 10.7712/140123.10197.18932

Controlling the Secondary Flows in a Modern Aero-Engine Fan Using Vortex Generators

Autori: Roberto Putzu, Mario Carta, Tiziano Ghisu, Shahrokh Shahpar, Anastasios Kovanis
Pubblicato in: Volume 10: Turbomachinery — Axial Flow Fan & Compressor Aerodynamics; Axial Flow Turbine Aerodynamics, 2025
Editore: American Society of Mechanical Engineers
DOI: 10.1115/GT2025-152428

OPTIMISING BLADE GEOMETRIES TO ENHANCE PERFORMANCE IN AXIAL COMPRESSORS WITH CASING TREATMENTS

Autori: Anirudh Rao, Shahrokh Shahpar, Francesco Montomoli, Philip Athayade, Michael W.
Pubblicato in: 2026
Editore: Rolls-Royce 2025

Multi-disciplinary design optimization under uncertainty: the open source capabilities of GEMSEO

Autori: Matthias De Lozzo, Clément Laboulfie, Olivier Sapin, Nicolas Roussouly, François Gallard, Amine Aziz Alaoui, Antoine Dechaume, Anne Gazaix
Pubblicato in: UNCECOMP, 2025
Editore: Eccomas Proceedia UNCECOMP (2025) 331-356

High-Fidelity Multidisciplinary Optimisation Processes For Solving Aero-Structural Problems: Recent Developments From An Industrial Perspective.

Autori: J. Brezillon, I. Fadli, K. Thanissaranon and C. Conlan-Smith
Pubblicato in: III ECCOMAS Thematic Conference on Multidisciplinary Design Optimization of Aerospace Systems, 2025
Editore: III ECCOMAS Thematic Conference on Multidisciplinary Design Optimization of Aerospace Systems

Secondary Flow Control of Turbomachinery Blades Using Vortex Generators

Autori: Roberto Putzu, Tiziano Ghisu, Shahrokh Shahpar
Pubblicato in: Volume 13A: Turbomachinery — Axial Flow Fan and Compressor Aerodynamics, 2023
Editore: American Society of Mechanical Engineers
DOI: 10.1115/GT2023-103769

TOWARD DISTRIBUTED AND SCALABLE MULTI-DISCIPLINARY OPTIMIZATION WITH GEMSEO

Autori: Jean-Christophe Giret, François Gallard, Antoine Dechaume, Jérôme Fasquel, Jean-François Figué and Anne Gazaix
Pubblicato in: Aerobost, 2025
Editore: GEMSEO 6.3.0

Multidisciplinary Optimisation of Additive Manufactured Heat Exchangers for Aeronautical Applications

Autori: Alessandro Chiodi, Alessandro Alaia, Edoardo Lombardi, Marco Cisternino, Konstantinos Gkaragkounis, Shahrokh Shahpar
Pubblicato in: Volume 13: Heat Transfer: General Interest / Additive Manufacturing Impacts on Heat Transfer; Wind Energy, 2024
Editore: American Society of Mechanical Engineers
DOI: 10.1115/GT2024-126786

High-Fidelity Multidisciplinary Design Trade Study of Short-Medium Range Aircraft with High Aspect-Ratio Wing

Autori: M. Abu-Zurayk, J. Brezillon, A. Balani, K. Sinha, C. Ilic, A. Attravanam, C. Conlan-Smith, K. Thanissaranon
Pubblicato in: ECCOMAS 2024, 2024
Editore: ECCOMAS Conference

COMPARISON OF EFFICIENT UNCERTAINTY QUANTIFICATION TECHNIQUES ON A TRANSONIC AIRFOIL, USING RANS COMPUTATIONS AND ADJOINT METHOD

Autori: Quentin Bennehard, Jacques Peter, and Marco Carini
Pubblicato in: Eccomas Proceedia EUROGEN (2023), Numero 15, 2023
Editore: ECCOMAS
DOI: 10.7712/140123.10196.18920

MACHINE LEARNING APPLIED TO TURBULENCE MODELLING FOR INDUSTRIAL AERONAUTICAL APPLICATIONS

Autori: Guillaume Laruelle, Flavien Billard, Gilbert Rogé, Michel Mallet
Editore: 58th 3AF International Conference on Applied Aerodynamics

Multi-Fidelity Heat Transfer Analysis of Shrouded High-Pressure Turbine Rotor Blades

Autori: Mario Carta, Tiziano Ghisu, Shahrokh Shahpar
Pubblicato in: Volume 13B: Turbomachinery — Axial Flow Turbine Aerodynamics, 2023
Editore: American Society of Mechanical Engineers
DOI: 10.1115/GT2023-103789

Aero-Thermal-Structural Optimization of a High-Pressure Turbine Rotor With Robustness Evaluation to In-Service Deterioration

Autori: Mario Carta, Roberto Putzu, Tiziano Ghisu, Shahrokh Shahpar
Pubblicato in: Volume 10: Turbomachinery — Axial Flow Fan & Compressor Aerodynamics; Axial Flow Turbine Aerodynamics, 2025
Editore: American Society of Mechanical Engineers
DOI: 10.1115/GT2025-152944

Enhancing Decision Making in MDO through Interactive Visual Analytics on the Web

Autori: Henriques-Gil, Javier and Mejia Parra, Daniel and Simoes, Bruno
Pubblicato in: Proceedings of the 28th International ACM Conference on 3D Web Technology, Numero Web3D '23, 2023, ISBN 9798400703249
Editore: Association for Computing Machinery
DOI: 10.1145/3611314.3615906

Combustor Traverse Optimization to Lower High-Pressure Turbine Rotor Temperatures

Autori: Mario Carta, Tiziano Ghisu, Shahrokh Shahpar
Pubblicato in: Volume 12B: Turbomachinery — Axial Flow Turbine Aerodynamics; Deposition, Erosion, Fouling, and Icing, 2024
Editore: American Society of Mechanical Engineers
DOI: 10.1115/GT2024-128054

Framework-assisted implementation of an aircraft aero-structural-powerplant multidisciplinary optimization process using GEMSEO

Autori: Časlav Ilić, Mohammad Abu-Zurayk, Patrick Wegener, Martin Bauer, Achyuth Attravanam, Thomas Klimmek, Matthias Schulze, Kautuk Sinha , Jannik Häßy, Anne Gazaix, François
Pubblicato in: Eurogen, 2023
Editore: EUROGEN

Computer Vision-Based Performance Forecasting for Turbomachinery

Autori: Anirudh Rao, Shahrokh Shahpar, Francesco Montomoli, Mario Carta, Tiziano Ghisu
Pubblicato in: Processing of the 1st International Symposium on AI and Fluid Mechanics, 2023
Editore: Rolls-Royce plc. 2025

A First Assessment of Adjoint Body-Force Modeling Capabilities for Fan Design

Autori: Cyril Dosne, Raphaël Barrier, Sébastien Bourasseau, Marco Carini, Rocco Moretti and Jacques Peter
Pubblicato in: AIAA, Numero AIAA 2024-2640, 2024
Editore: AIAA 2024-2640
DOI: 10.2514/6.2024-2640

Peer reviewed articles (11)

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

Autori: Marina G. Kontou, Xenofon S. Trompoukis, Varvara G. Asouti, Kyriakos C. Giannakoglou
Pubblicato in: International Journal for Numerical Methods in Fluids, Numero 96, 2024, ISSN 0271-2091
Editore: Wiley
DOI: 10.1002/FLD.5319

Multi-Fidelity Modelling of the Effect of Combustor Traverse on High-Pressure Turbine Temperatures

Autori: Mario Carta, Shahrokh Shahpar, Tiziano Ghisu, Fabio Licheri
Pubblicato in: Aerospace, Numero 11, 2024, ISSN 2226-4310
Editore: MDPI AG
DOI: 10.3390/AEROSPACE11090750

Aerospace Science and Technology

Autori: Roberto Putzu; Mario Carta; Tiziano Ghisu; Shahrokh Shahpar; Anastasios Kovanis
Pubblicato in: Aerospace Science and Technology, 2025, ISSN 1270-9638
Editore: Elsevier BV
DOI: 10.1016/J.AST.2025.110468

Radial Basis Function Surrogates for Uncertainty Quantification and Aerodynamic Shape Optimization under Uncertainties

Autori: Marina G. Kontoua, Varvara G. Asoutia, Kyriakos C. Giannakogloua
Pubblicato in: Fluids, Numero 8(11), 292, 2023, ISSN 2311-5521
Editore: MDPI
DOI: 10.3390/fluids8110292

Radial Basis Function Surrogates for Uncertainty Quantification and Aerodynamic Shape Optimization under Uncertainties

Autori: Varvara Asouti; Marina Kontou; Kyriakos Giannakoglou
Pubblicato in: Fluids, 2023, ISSN 2311-5521
Editore: Fluids
DOI: 10.3390/FLUIDS8110292

Multi-Fidelity Modelling of the Effect of Combustor Traverse on High-Pressure Turbine Temperatures

Autori: Mario Carta; Shahrokh Shahpar; Tiziano Ghisu; Fabio Licheri
Pubblicato in: Aerospace, 2024, ISSN 2226-4310
Editore: Aerospace
DOI: 10.3390/AEROSPACE11090750

Heat Transfer Analysis of Damaged Shrouded High-Pressure Turbine Rotor Blades

Autori: Carta, M., Ghisu, T., Shahpar, S.
Pubblicato in: Int. J. Turbomach. Propuls. Power, Numero 8 (3), 2023, ISSN 2504-186X
Editore: MDPI
DOI: 10.3390/ijtpp8030024

A machine-learning based approach for multi-scale optimisation of heat exchangers with lattice-like topology

Autori: A. Chiodi, A. Alaia, E. Lombardi, M. Cisternino, K. Gkaragkounis, A. Ferrero, S. Shahpar
Pubblicato in: International Journal of Heat and Mass Transfer, Numero 256, 2026, ISSN 0017-9310
Editore: Elsevier BV
DOI: 10.1016/J.IJHEATMASSTRANSFER.2025.128035

Analysis of the aerothermal performance of modern commercial high-pressure turbine rotors using different levels of fidelity

Autori: Mario Carta, Shahrokh Shahpar, Tiziano Ghisu
Pubblicato in: Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, Numero 238, 2024, ISSN 0957-6509
Editore: SAGE Publications
DOI: 10.1177/09576509241283129

Secondary flow control in a modern aero-engine fan using vortex generators

Autori: Roberto Putzu, Mario Carta, Tiziano Ghisu, Shahrokh Shahpar, Anastasios Kovanis
Pubblicato in: Aerospace Science and Technology, Numero 165, 2025, ISSN 1270-9638
Editore: Elsevier BV
DOI: 10.1016/J.AST.2025.110468

High-Fidelity Digital Twins of In-Service High-Pressure Turbine Blades

Autori: Pierluca Dessi, Mario Carta, Roberto Putzu, Tiziano Ghisu, Shahrokh Shahpar
Pubblicato in: Journal of Physics: Conference Series, Numero 3143, 2025, ISSN 1742-6588
Editore: IOP Publishing
DOI: 10.1088/1742-6596/3143/1/012126