Pietro Marco Congedo
Inria Research Director
Head of the PLATON project-team in CMAP Laboratory (INRIA Saclay Île-de-France, Ecole Polytechnique)
Scientific Director of the CWI-INRIA Lab
Coordinator of the "Math-CSI" Program of the FMJH
Editor of MATCOM (Mathematics and Computers in Simulation)
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Profiles on Scholar Google and ResearchGate.
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Bâtiment Turing
1 rue d'Estienne d'Orves, 91120 Palaiseau
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Phone:
+33(0)1 72 92 59 35
+33(0)6 79 62 38 02
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Email:
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NEWS
Post-doc position available at Inria Saclay Île-de-France/Ecole Polytechnique
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RESEARCH
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The main objectives of my research are focused on the development of Uncertainty Quantification (UQ) and robust optimization methods and their application in the numerical simulation of real-gas compressible flows in the field of energy systems and aeronautics/aerospace applications.
UQ activities that I developed are mainly axed in two different topics. First one is more oriented towards methodological aspects concerning the study over the strict link between discretization error and the influence of uncertainties for treating PDE under uncertainties. The targeted PDE-system is governed by some conservation laws, where a high resolution of shocks propagating in the coupled physical/stochastic space is required. The second family of methods that I am interested in, are non-intrusive, i.e. the numerical solver is considered as a black box. As a consequence, this research axis is more focused to tackle black-box problems. On this aspect, I am particularly interested to provide solutions to some industrial needs. In this sense, methods should be able to treat problems featuring a very large number of uncertainties (order of hundreds) and a deterministic solver very expensive to evaluate, in order to get reliable estimation in terms of sensitivity analysis, building of metamodels, optimization of design parameters, etc.
The second part of my research is focused on two main applications. The interest on the first, i.e. the physics of dense-gas flows and Organic Rankine Cycles systems for exploiting renewable energy, is a very long-term passion. Note that several of my works in this field have been done recently in a UQ-perspective. My second targeted application is more recent (last four years) and concerns several activities in aeronautics/aerospace field, in particular on the atmospheric reentry problem (such as for example the reentry of a space vehicle) and in rotor design for helicopters.
EDUCATION
2013
HDR
"HABILITATION À DIRIGER DES RECHERCHES" at UNIVERSITY OF BORDEAUX 1-6
Thesis on: 'Contribution to the reliability of numerical simulations in fluid mechanics. Application to the flow simulation of thermodynamically complex gases'.
2003-2007
Doctor of Philosophy
PhD in ENERGETIC SYSTEM at "DIPARTIMENTO DI INGEGNERIA DELL'INNOVAZIONE" of "UNIVERSITY OF SALENTO"
Thesis on: 'Analysis and Optimization of Dense Gas Flows: Application to Organic Rankine Cycles'.
Director: Prof. Paola Cinnella.
Awarded with 'excellent'
2005
Master Degree
MASTER EFA (Energie, Fluides, Aerodynamique) AT ENSAM-PARIS
Thesis on: 'Optimisation de forme pour des ecoulements de gaz denses'.
Director: Prof. C. Corre, Associate Professor, ENSAM-Paris.
Awarded with 'tres bien' (top score)
1998-2003
Bachelors and Master Degree
ENGINEERING OF MATERIALS AT "UNIVERSITÀ DEGLI STUDI DI LECCE"
Thesis on: 'Numerical Simulation of dense gas flows'.
Directors: D. Laforgia (Full professor) University of Lecce, P.Cinnella (Assistant professor), University of Lecce.
Awarded with honors (110/110 cum laude)
WORKING GROUP
Anabel del Val
PhD Student (2017-2020)
Topics : numerical simulation of atmospheric reentry flows, uncertainty quantification methods.
This thesis is devoted to the formulation of methods and surrogate models for uncertainty quantification applicable to both experimental and computational data sources for the development of reliable aerothermodynamic databases for ablative TPS.
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Co-Supervision with T. Magin (VKI), O. Le Maître (CNRS), O. Chazot (VKI)
Nassim Razaaly
PhD Student ( 2016-2019 )
Topics : uncertainty quantification methods for renewable energy sources
This thesis aims to build a numerical platform where handling in an efficient way the experimental data and the synthetic information coming from the numerical simulation, by means of innovative methods permitting to deal with modelling and experimental uncertainties.
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Co-supervision with D. Crommelin (CWI)
Francois Sanson
PhD Student ( 2016-2019 )
Topics : uncertainty quantification through systems of solvers, application to debris reentry.
The objective of this thesis is to predict the impact region of the surviving fragments of a reentering space object. For this reason, we are working on the formulation of innovative methods for propagating uncertainties through systems of codes, which is representative of the simulation process of the debris reentry.
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Funding : AirbusSafran Launchers.
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Co-supervision with O. Le Maître (CNRS)
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Julien Carlier
PhD Student (2016-2019)
Topic : The main objective of this thesis is to develop the numerical ingredients for computing
a high-fidelity prediction of two-phase compressible flows with heat and mass transfer.
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Co-supervision with M. Pelanti (ENSTA)
Mickaël Rivier
PhD Candidate (2017-2020)
Topics : optimization under uncertainties method.
This thesis deals with the development of a bounding-box strategy for the optimization under uncertainties of complex systems. The method is based on the extension of the bounding box concept to the Pareto optima, where the error can be regarded with the abstraction of an interval (in one-dimensional problems) or a bounding box (in multidimensional problems) around the estimated value.
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Funding : AirbusSafran Launchers.
Giulio Gori
Early Stage Researcher (ITN-UTOPIAE, 2017-2020)
The goal of his research is to develop efficient and scalable methods to solve large scale inference problems, quantify the resulting uncertainties in the physical models, and propose new experiments
to optimally improve the predictive capabilities of ice accretion models.
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Funding: MSCA ITN-UTOPIAE
Joao Reis
Early Stage Researcher (ITN-UTOPIAE, 2017-2020)
The aim of this thesis is to develop original UQ representations and algorithms to deal with complex model dependencies. As the project targets large scale simulations, High Performance Computing aspects will be incorporated by designing dedicated algorithms taking advantage of modern computational infrastructures.
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Funding: MSCA ITN-UTOPIAE
PUBLICATIONS
You can find the detailed list of my publications here (PDF).
Journal Publications
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52. N. Razaaly, G. Gori, G. Persico, P.M. Congedo, Quantile-based robust optimization of a supersonic nozzle for Organic Rankine Cycle turbines. Applied Mathematical Modelling, 2020, in press.
51. N. Razaaly, D. Crommelin, P.M. Congedo, Efficient Estimation of Extreme Quantiles using Adaptive Kriging and Importance Sampling. International Journal for Numerical Methods in Engineering, 2019, in press.
50. A. Cortesi, P.M. Congedo, Forward and backward uncertainty quantification with active subspaces: Application to hypersonic flows around a cylinder. Journal of Computational Physics 2019, https://doi.org/10.1016/j.jcp.2019.109079.
48. G. Gori, M. Zocca, G. Cammi, A. Spinelli, P.M. Congedo, A. Guardone, Accuracy assessment of the Non-Ideal Computational Fluid Dynamics model for siloxane MDM from the open-source SU2 suite, European Journal of Mechanics - B/Fluids, Volume 79, Pages 109-120, 2020.
45. A. Romei, G. Persico, P.M. Congedo, Assessment of Deterministic Shape Optimizations within a Stochastic Frame- work for Supersonic Organic Rankine Cycle Nozzle Cascades. In press on Journal of Engineering for Gas Turbines and Power, 2019.
44. M Rivier, J Lachaud, PM Congedo, Ablative thermal protection system under uncertainties including pyrolysis gas composition. Aerospace Science and Technology 84, 1059-1069, 2019.
43. N. Razaaly, G. Persico, P.M. Congedo, Impact of geometric, operational, and model uncertainties on the non-ideal flow through a supersonic ORC turbine cascade. Energy 169, 213-227, 2019.
41. F. Sanson, F. Panerai, T. Magin, P.M. Congedo, Robust reconstruction of the catalytic properties of thermal protection materials from sparse high-enthalpy facility experimental data. Experimental Thermal and Fluid Science Volume 96, September 2018, Pages 482-492.
40. F. Fusi, P.M. Congedo, A. Guardone, G. Quaranta, Shape optimization under uncertainty of morphing airfoils. Acta Mechanica 229 (3), 1229-1250, 2018.
38. N. Razaaly, G. Persico, P.M. Congedo, Uncertainty Quantification of an ORC turbine blade under a low quantile constraint, Energy Procedia, Volume 129, September 2017, Pages 1149-1155.
37. N. Razaaly, P.M. Congedo, Computation of tail probabilities for non-classical gasdynamic phenomena. Journal of Physics Conference Series, 2017, Volume 821, Number 1.
36. M.G. Rodio, R. Abgrall, P.M. Congedo, Numerical simulation of cavitating flows under uncertainty. Journal of Physics Conference Series, 2017, Volume 821, Number 1.
35. P.M. Congedo, J. Melis, R. Daccord, Numerical characterization under uncertainties of a piston expander for exhaust heat recovery on heavy commercial vehicles. Journal of Physics Conference Series, 2017, Volume 821, Number 1.
34. F. Sanson, N. Villedieu, O. Chazot, T. Magin, F. Panerai, P.M. Congedo, Quantification of uncertainty on the catalytic property of reusable thermal protection materials from high enthalpy experiments. Experimental Thermal and Fluid Science 82 (2017) 414-423.
33. A. Turchi, P.M. Congedo, T. Magin, Thermochemical ablation modeling forward uncertainty analysis-Part I: Numerical methods and effect of model parameters. International Journal of Heat and Mass Transfer, Volume 118, August 2017, Pages 497-509.
32. A. Turchi, P.M. Congedo, T. Magin, Thermochemical ablation modeling forward uncertainty analysis-Part II: Applica- tion to plasma wind-tunnel testing. International Journal of Heat and Mass Transfer, Volume 118, August 2017, Pages 510-517.
31. K. Tang, P.M. Congedo, R. Abgrall, Adaptive surrogate modeling by ANOVA and sparse polynomial dimensional decomposition for global sensitivity analysis in fluid simulation. Journal of Computational Physics, Volume 314, 1 June 2016, Pages 557-589.
30. R. Abgrall, P.M. Congedo, G. Geraci, G. Iaccarino, High-order statistics in global sensitivity analysis: decomposition and model reduction. Computer Methods in Applied Mechanics and Engineering, Volume 301, 1 April 2016, Pages 80-115.
29. F. Fusi, P.M. Congedo, An adaptive strategy on the error of the objective functions for uncertainty-based derivative- free optimization. Journal of Computational Physics, Volume 309, 15 March 2016, Pages 241-266.
28. R. Abgrall, P.M. Congedo, G. Geraci, Towards a unified multiresolution scheme for treating discontinu- ities in differential equations with uncertainties. Mathematics and Computers in Simulation, 2016, http://dx.doi.org/10.1016/j.matcom.2016.02.002.
27. R. Abgrall, P.M. Congedo, G. Geraci, G. Iaccarino, A Novel Weakly-Intrusive Non-linear Multiresolution Framework for Uncertainty Quantification in Hyperbolic Partial Differential Equations. Journal of Scientific Computing, January 2016, Volume 66, Issue 1, pp 358?405.
26. P.M. Congedo, M.G. Rodio, E. Goncalves, About the uncertainty quantification of turbulence and cavitation models in cavitating flows simulations. European Journal of Mechanics/B Fluids Volume 53, October 2015, Pages 190-204.
25. F. Fusi, P.M. Congedo, A. Guardone, G. Quaranta, Multifidelity Physics-Based Method for Robust Optimization Ap- plied to a Hovering Rotor Airfoil. AIAA Journal, 2015, Vol.53: 3448-3465.
24. R. Abgrall, P.M. Congedo, G. Geraci, M.G. Rodio, Stochastic Discrete Equation Method (sDEM) for two-phase flows. Journal of Computational Physics Volume 299, 15 October 2015, Pages 281-306.
23. R. Abgrall, P.M. Congedo, G. Geraci, G. Iaccarino, An adaptive multiresolution semi-intrusive scheme for UQ in compressible fluid problems 2015, International Journal for Numerical Methods in Fluids Volume 78, Issue 10, pages 595-637, 10 August 2015.
22. K. Tang, P.M. Congedo, R. Abgrall, Sensitivity analysis using anchored ANOVA expansion and high order moments computation. International Journal for Numerical Methods in Engineering 2015, Volume 102, Issue 9, June 2015, pages 1554-1584.
21. R. Abgrall, P.M. Congedo, D. De Santis, N. Razaaly, A non-linear residual distribution scheme for real-gas computa- tions. Computers & Fluids 2014, 102, pp. 148-169.
20. J. Tryoen, P.M. Congedo, R. Abgrall, N. Villedieu, T. Magin, Bayesian-based Method with metamodels for rebuilding free-stream conditions in atmospheric entry flows. AIAA Journal 2014, 52-10, pp. 2190-2197.
19. R. Abgrall, M.G. Rodio, P.M. Congedo, Two-phase flow numerical simulation with real-gas effects: application to rarefaction shock waves. European Journal of Mechanics/B Fluids 2014, 45, pp. 20-35.
18. M.G. Rodio, P.M. Congedo, Robust Analysis of cavitating flows in Venturi tube. European Journal of Mechanics/B Fluids 2014, 44, pp. 88-99.
17. R. Abgrall, P.M. Congedo, G. Geraci, A One-Time Truncate and Encode Multiresolution Stochastic Framework. Jour- nal of Computational Physics 2014, 257, pp. 19-56.
16. P.M. Congedo, J. Witteveen, G. Iaccarino, 2013, A simplex-based numerical framework for simple and efficient robust design optimization. Computational Optimization and Application 56, 1, pp. 231-251.
15. P.M. Congedo, G. Geraci, R. Abgrall, V. Pediroda, L. Parussini, 2013, TSI metamodels-based multi-objective robust optimization. Engineering Computations 30, 8.
13. P.M. Congedo, G. Balarac, C. Duprat, C. Corre, Numerical prediction of turbulent flow using RANS and LES with uncertain inflow conditions. International Journal for Numerical Methods in Fluids 2013, Volume: 72, Issue: 3, pp. 341-358.
12. P. Cinnella, P.M. Congedo, 2013, Convergence behaviours of Genetic Algorithms for Aerodynamic Optimisation Prob- lems. International Journal of Engineering Systems Modelling and Simulation, Vol. 5, No. 4, 2013, pp. 197-216.
11. P.M. Congedo, C. Corre, P. Colonna, J. Witteveen, G. Iaccarino, Backward uncertainty propagation method in flow problems: application to the prediction of rarefaction shock waves, Comput. Methods Appl. Mech. Engrg. 2012, Volume: 213-216, Issue: 1, pp. 314-326.
10. P. Cinnella, P.M. Congedo, V. Pediroda, L. Parussini, Quantification of uncertainties in compressible flows with com- plex thermodynamic behavior, Physics of Fluids 2011, 23, pp. 116101.
9. C. Duprat, G. Balarac, O. Metais, P.M. Congedo, O. Brugiere, A wall-layer model for large-eddy simulations of turbulent flows with/out pressure gradient, Physics of Fluids 2011, 23, pp. 015101.
8. P.M. Congedo, C. Corre, P. Cinnella, Numerical Investigation of dense-gas effects in turbomachinery, Computers and Fluids 2011,Volume: 49, Issue: 1, pp. 290-301
7. P.M. Congedo, C. Corre, J.M. Martinez, Shape Optimization of an Airfoil in a BZT Flow with Multiple-source Uncer- tainties, Comput. Methods Appl. Mech. Engrg. 2011, Volume: 200, Issue: 1-4, pp. 216-232.
6. P. Cinnella, P.M. Congedo, V. Pediroda, L. Parussini, Quantification of Thermodynamic Uncertainties in Real Gas Flows, International Journal of Engineering Systems Modelling and Simulation, Vol. 2, Nos. 1/2, 2010, pp. 12-24 .
5. P. Cinnella, P.M. Congedo, Optimal airfoil shapes for viscous transonic flows of Bethe-Zel’dovich-Thompson fluids, Computer and Fluids, Volume: 37, Issue: 3, March, 2008, pp. 250-264 .
4. P. Cinnella, P.M. Congedo, Inviscid and viscous behavior of dense gas flows past an airfoil, Journal of Fluid Me- chanics 580(2007), 179-217.
3. P.M. Congedo, C. Corre, P. Cinnella, 2007, Airfoil shape optimization for transonic flows of Bethe-Zel’dovich-Thompson fluids. AIAA Journal, Vol. 45, No.6, pp.1303-1316.
2. P. Cinnella, P.M. Congedo, 2005, Aerodynamic performance of transonic BZT flows past an airfoil, AIAA Journal, Vol. 43, No.2, pp.370-378.
1. P. Cinnella, P.M. Congedo, 2005, Numerical solver for dense gas flows. AIAA Journal, Vol.43, No.11, pp. 2457-2461.
PROJECT
I'M A TITLE
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I'M A TITLE
I'm a paragraph. Click here to add your own text and edit me. It’s easy. Just click “Edit Text” or double click me to add your own content and make changes to the font. I’m a great place for you to tell a story and let your users know a little more about you.
I'M A TITLE
I'm a paragraph. Click here to add your own text and edit me. It’s easy. Just click “Edit Text” or double click me to add your own content and make changes to the font. I’m a great place for you to tell a story and let your users know a little more about you.
VIPER
(Virtual prototyping of EVE engines)
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Funding source: Aquitaine Region (National Funding)
Duration: 5 years.
Project end: January 2021.
Role: Principal investigator
Description: Design under uncertainty of organic cycle based engine.
ASL-RISK
(Uncertanty quantification for the reentry of rocket launchers and risk analysis of human losses at ground hit)
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Funding source: AirbusSafranLaunchers, Region Aquitaine (National Funding)
Duration: 4 years.
Project end: January 2020.
Role: Principal investigator
Description: formulation of new techniques for propagating uncertainties in a system of codes. Application to the study of atmospheric reentry trajectories.
Co-funding of the PhD (2015-2019)
H2020 UTOPIAE
(Uncertainty Treatment and OPtimisation In Aerospace Engineering)
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Partners: University of Strathclyde (coordinator), Inria BSO, ESTECO, CIRA, Politecnico di Milano, Jozef Stefan
Institute, Cologne University, University of Durham, Ghent University, von Karman Institute, DLR, National Physical
Laboratory, Leonardo Aircraft S.p.A, Airbus Operations Gmbh, Stanford University.
Duration: 4 years.
Project end: December 2021.
Funding source: European Funding.
Role : Leader of the Work Package on Uncertainty quantification.
Work performed: development of efficient algorithms for very high dimensional engineering problems by bridging the gap between Uncertainty Quantification and Optimisation, and Probability Theory and Imprecise Probability Theory for Uncertainty Quantification;
INDUSTRY
Contracts
My research activities are supported by several contracts under way with industry. During the last two years, I have worked in particular with the following partners:
AWARDS
2009
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Best Paper Prize in Applied Aerodynamics of the AAAF (Association Aéronautique et Astronautique de France)
2012
Prize of Scientific Excellence by INRIA.
2016
Prize of Scientific Excellence, INRIA 2016
Summer Program Fellowship from Center for Turbulence Research (CTR, Stanford University) Steering Committee.
2010
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2012
Summer Program Fellowship from Center for Turbulence Research (CTR, Stanford University) Steering Committee.
SEMINARS
The full list of my seminars at Workshop, Conferences and International Schools can be found here (PDF).