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Tariq Benamara
Observed names:
Benamara, Tariq,
T. Benamara
Institution:
Cenaero (Belgium)
Observed institutions:
Université de Technologie de Compiègne,
Centre National de la Recherche Scientifique,
Von Karman Institute for Fluid Dynamics,
Laboratoire Roberval,
Cenaero (Belgium),
Safran Aircraft Engines (France)
show all 6
ORCID:
0000-0001-5342-2408
Observed ORCID:
0000-0001-5342-2408
OpenAlex ID:
A5081013022
Metamodeling techniques for CPU-intensive simulation-based design optimization: a survey
2022
·
Hanane Khatouri
, Tariq Benamara
, et al.
·
Advanced Modeling and Simulation in Engineering Sciences
·
40
PDF
Multi-fidelity POD surrogate-assisted optimization: Concept and aero-design study
2017
·
Tariq Benamara
, Piotr Breitkopf
, et al.
·
Structural and Multidisciplinary Optimization
·
37
Adaptive infill sampling criterion for multi-fidelity optimization based on Gappy-POD
2016
·
Tariq Benamara
, Piotr Breitkopf
, et al.
·
Structural and Multidisciplinary Optimization
·
26
Multi-fidelity Extension to Non-intrusive Proper Orthogonal Decomposition Based Surrogates
2016
·
Tariq Benamara
, Piotr Breitkopf
, et al.
·
VII European Congress on Computational Methods in Applied Sciences and Engineering
·
10
PDF
Constrained multi-fidelity surrogate framework using Bayesian optimization with non-intrusive reduced-order basis
2020
·
Hanane Khatouri
, Tariq Benamara
, et al.
·
Advanced Modeling and Simulation in Engineering Sciences
·
7
PDF
LPC Blade and Non-Axisymmetric Hub Profiling Optimization Using Multi-Fidelity Non-Intrusive POD Surrogates
2017
·
Tariq Benamara
, Piotr Breitkopf
, et al.
·
ASME Turbo Expo: Turbomachinery Technical Conference and Exposition (GT)
·
6
Aero‐design of transonic LH2 and LOX contra rotating turbopumps in an expander rocket engine
2013
·
Guillermo Paniagua
, Sergio Lavagnoli
, et al.
·
International Journal of Numerical Methods for Heat & Fluid Flow
·
5
Proper Orthogonal Decomposition-Based Surrogate Modeling Approximation for Aeroengines Nonlinear Unbalance Responses
2023
·
Francesco D'Alessandro
, Hugo Festjens
, et al.
·
Journal of Engineering for Gas Turbines and Power
·
4
Reduced Order Modeling of the Unsteady Pressure on Turbine Rotor Blades Using Deep Learning
2025
·
Joachim Dominique
, Lionel Salesses
, et al.
·
Journal of Turbomachinery
·
3
Full-field multi-fidelity surrogate models for optimal design of turbomachines
2017
·
Tariq Benamara
·
HAL
·
3
Dimensionality reduction combining variable grouping and UMAP for structural optimization
2025
·
Rajan Filomeno Coelho
, Caroline Sainvitu
, et al.
·
Structural and Multidisciplinary Optimization
·
2
Turbulent injection assisted by diffusion models for scale-resolving simulations
2025
·
M. Boxho
, J. Dominique
, et al.
·
Physics of Fluids
·
1
PDF
POD-Based Surrogate Modeling Approximation for Aeroengines Nonlinear Unbalance Responses
2023
·
Francesco D’Alessandro
, Hugo Festjens
, et al.
·
ASME Turbo Expo: Turbomachinery Technical Conference and Exposition (GT)
·
1
A Dedicated Model Reduction Method for Turbo-Machines Using a Critical Speed Subspace
2022
·
Francesco D’Alessandro
, Hugo Festjens
, et al.
·
ASME Turbo Expo: Turbomachinery Technical Conference and Exposition (GT)
·
1
Aerodesign of a Transonic Contrarotating Turbine for a Rocket Engine
2009
·
Guillermo Paniagua
, Wassim Mahmoudi
, et al.
·
AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit (JPC)
·
1
Periodic Neural Mapping for Unsteady Rotor-Blade Pressure and Aeroelastic Load Prediction
2026
·
Salesses, Lionel
, Dominique, Joachim
, et al.
·
arXiv (Cornell University)
PDF
Neural Field Ensembles for Aerodynamic Surface Prediction: Winning Solution to the ONERA CRM Wall Distribution 2025 Challenge
2026
·
Salesses, Lionel
, Sainvitu, Caroline
, et al.
·
arXiv (Cornell University)
PDF
Industrial Multi-Fidelity Surrogate-Based Optimization Framework for Compressor Blade Design: Balancing Aeromechanics, Contact Robustness, and NI-POD Modeling
2026
·
F. Nyssen
, R. Nigro
, et al.
·
Journal of Turbomachinery
PDF
Stable Long-Horizon Spatiotemporal Prediction on Meshes Using Latent Multiscale Recurrent Graph Neural Networks
2026
·
Salesses, Lionel
, Arbaoui, Larbi
, et al.
·
arXiv (Cornell University)
PDF
Reduced Order Modeling of the Unsteady Pressure on Turbine Rotor Blades Using Deep Learning
2025
·
Joachim Dominique
, Lionel Salesses
, et al.
·
ASME Turbo Expo: Turbomachinery Technical Conference and Exposition (GT)
PDF
Analyzing Machining Cycle Time Anomalies via CNC and Operational Data
2025
·
Noémie Vlaminck
, Michel Nicolas
, et al.
·
Procedia CIRP
Enrichissement des modèles réduits POD non intrusifs multiniveaux
2019
·
Khatouri, Hanane
, Benamara, Tariq
, et al.
·
HAL
Full-field multi-fidelity surrogate models for optimal design of turbomachines
2017
·
Tariq Benamara
Optimisation aérodynamique assistée par métamodèles POD multi-fidélité non-intrusifs
2017
·
Benamara, Tariq
, Breitkopf, Piotr
, et al.
·
HAL
Optimisation multi-fidélité basée sur une approche Gappy-POD. Application à l'écoulement transonique autour de l'aile RAE-2822
2015
·
Tariq Benamara
, Caroline Sainvitu
, et al.
·
HAL
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Works count:
27
Citation count:
147
H-index:
6
I10-index:
4
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