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Caroline Sainvitu

Observed names: C Sainvitu, C. Sainvitu, Sainvitu, C., Sainvitu, Caroline
Institution: Cenaero (Belgium)
ORCID: 0000-0001-9445-5695
Observed ORCID: 0000-0001-9445-5695
OpenAlex ID: A5090557633
A Filter-Trust-Region Method for Unconstrained Optimization
2005 · Nick I. M. Gould, Caroline Sainvitu, et al. · SIAM Journal on Optimization · 102
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Adaptive sampling strategies for non‐intrusive POD‐based surrogates
2013 · Marc Guénot, Ingrid Lepot, et al. · Engineering Computations · 81
Multi-fidelity POD surrogate-assisted optimization: Concept and aero-design study
2017 · Tariq Benamara, Piotr Breitkopf, et al. · Structural and Multidisciplinary Optimization · 37
Global Optimization with Expensive Functions - Sample Turbomachinery Design Application
2010 · Caroline Sainvitu, Vicky Iliopoulou, et al. · Springer eBooks · 36
Aerodynamic Optimization of the Low-Pressure Turbine Module: Exploiting Surrogate Models in a High-Dimensional Design Space
2020 · Lieven Baert, Emmanuel Chérière, et al. · Journal of Turbomachinery · 34
Adaptive infill sampling criterion for multi-fidelity optimization based on Gappy-POD
2016 · Tariq Benamara, Piotr Breitkopf, et al. · Structural and Multidisciplinary Optimization · 26
Tackling Highly Constrained Design Problems: Efficient Optimisation of a Highly Loaded Transonic Compressor
2017 · Lieven Baert, Paul Beaucaire, et al. · ASME Turbo Expo: Turbomachinery Technical Conference and Exposition (GT) · 18
A filter-trust-region method for simple-bound constrained optimization
2007 · Caroline Sainvitu, Philippe L. Toint · Optimization methods & software · 16
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Damage tolerance reliability analysis combining Kriging regression and support vector machine classification
2019 · Rudy Chocat, Paul Beaucaire, et al. · Engineering Fracture Mechanics · 15
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Multi-point infill sampling strategies exploiting multiple surrogate models
2019 · P. Beaucaire, Ch. Beauthier, et al. · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 12
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
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Failure Probability Assessment using co-Kriging Surrogate Models
2015 · J.-P. Lefebvre, B. Dompierre, et al. · Procedia Engineering · 7
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From Concept to Wind Tunnel Model: Efficient Design Methodology for Innovative Low-Noise Propellers
2022 · Lieven Baert, Gabriele Grasso, et al. · ASME Turbo Expo: Turbomachinery Technical Conference and Exposition (GT) · 6
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
Agile SBO Framework Exploiting Multisimulation Data: Optimising Efficiency and Stall Margin of a Transonic Compressor
2018 · Lieven Baert, Christophe Dumeunier, et al. · ASME Turbo Expo: Turbomachinery Technical Conference and Exposition (GT) · 5
Hypersonic cryogenic tank design using mixed-variable surrogate-based optimization
2014 · Ch Beauthier, A Mahajan, et al. · CRC Press eBooks · 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
Multidisciplinary Design of a Low-Noise Propeller: Part II — Efficient Aero-Acoustic-Mechanical Design Methodology Exploiting Surrogate Models in an Adaptive Design Space
2020 · Lieven Baert, Chloé Dumont, et al. · ASME Turbo Expo: Turbomachinery Technical Conference and Exposition (GT) · 4
Adaptive sampling strategies for POD-based surrogate models in an optimization framework
2011 · Caroline Sainvitu, Marc Guénot, et al. · Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) · 4
A surrogate-based evolutionary algorithm for highly constrained design problems
2017 · Charlotte Beauthier, Paul Beaucaire, et al. · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 3
Combining Surrogate Strategies with MADS for Mixed-Variable Derivative-Free Optimization
2017 · Anne-Sophie Crélot, Beauthier, Charlotte, et al. · PolyPublie (École Polytechnique de Montréal) · 3
Reliability Analysis in Fracture Mechanics According to Combined Failure Criteria
2016 · Rudy Chocat, Paul Beaucaire, et al. · VII European Congress on Computational Methods in Applied Sciences and Engineering · 3
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Dimensionality reduction combining variable grouping and UMAP for structural optimization
2025 · Rajan Filomeno Coelho, Caroline Sainvitu, et al. · Structural and Multidisciplinary Optimization · 2
Mixed-Variable Surrogate-Based Optimization Using Affinity Features to Improve the Distance for Categorical Variables
2025 · Charlotte Beauthier, Rajan Filomeno Coelho, et al. · Communications in computer and information science · 2
A filter-trust-region method for unconstrained optimization
2004 · Nicholas I. M. Gould, Caroline Sainvitu, et al. · Technical report. RAL - Council for the Central Laboratory of the Research Councils · 2
Works count: 46
Citation count: 449
H-index: 10
I10-index: 11
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