Pietro Marco Congedo

发表

Efficient robust optimization techniques for uncertain dense gas flows

Pietro Marco Congedo, Paola Cinnella, Samuel Hercus, 2011 .

Shape Optimization for Cryogenic Cavitating Flows Past an Isolated Hydrofoil

Pietro Marco Congedo, Maria Grazia De Giorgi, Antonio Ficarella, 2008 .

Some recent advancements in uncertainty quantification methods: application to two ablation-oriented examples

Pietro Marco Congedo, 2015 .

Stochastic analysis and robust optimization for a converging shock wave experimental setting

Gianluca Geraci, Pietro Marco Congedo, Dante De Santis, 2013 .

A semi-intrusive deterministic approach to uncertainty quantification in non-linear fluid flow problems

Rémi Abgrall, Pietro Marco Congedo, 2013, J. Comput. Phys..

Robust optimization of ORC turbine cascades operating with siloxane MDM

Pietro Marco Congedo, Nassim Razaaly, Giulio Gori, 2018 .

Efficient clustering based training set generation for systems of solvers

Pietro Marco Congedo, Francois Sanson, Daan Crommelin, 2018 .

Simplex-simplex approach for robust design optimization

Pietro Marco Congedo, Jeroen A. S. Witteveen, Gianluca Iaccarino, 2011 .

Efficient estimation of extreme quantiles using adaptive kriging and importance sampling

Pietro Marco Congedo, Nassim Razaaly, Daan Crommelin, 2020, International Journal for Numerical Methods in Engineering.

Probabilistic modeling of space object controlled reentry and ground risk estimation

Pietro Marco Congedo, Francois Sanson, Charles Bertorello, 2018 .

Surrogate-assisted Bounding-Box approach for optimization problems with tunable objectives fidelity

Pietro Marco Congedo, Mickael Rivier, 2019, J. Glob. Optim..

Multi-objective Design Optimization Using High-Order Statistics for CFD Applications

Rémi Abgrall, Gianluca Geraci, Pietro Marco Congedo, 2015 .

New Results - Sensitivity analysis, metamodelling, and and robust optimization

Pietro Marco Congedo, Kunkun Tang, Francesca Fusi, 2015 .

Robust Aerodynamic Optimization for Helicopter Blade Morphing Airfoils

Pietro Marco Congedo, Giuseppe Quaranta, Francesca Fusi, 2017 .

Surrogate-Assisted Bounding-Box Approach for Uncertainty-Based Multi-Objective Optimization Problems

Pietro Marco Congedo, Mickael Rivier, 2017 .

Robust Ground Footprint Estimation of Reentering Space Objects

Pietro Marco Congedo, Charles Bertorello, Célia Finzi, 2018 .

Stochastic Discrete Equation Method (sDEM) for two-phase flows

Rémi Abgrall, Gianluca Geraci, Pietro Marco Congedo, 2015, J. Comput. Phys..

Adaptive refinement of the design of experiment for metamodels through anisotropic mesh adaptation

Pietro Marco Congedo, Andrea Cortesi, Ghina El Jannoun, 2017 .

Robust code-to-code comparison for long wave run up

Pietro Marco Congedo, Mario Ricchiuto, Argiris I. Delis, 2013 .

An adaptive strategy on the error of the objective functions for uncertainty-based derivative-free optimization

Pietro Marco Congedo, Francesca Fusi, P. Congedo, 2016, J. Comput. Phys..

Semi-intrusive and non-intrusive stochastic methods for aerospace applications

Rémi Abgrall, Gianluca Geraci, Pietro Marco Congedo, 2011 .

Uncertainty Quantification of an ORC turbine blade under a low quantile constrain

Giacomo Bruno Azzurro Persico, Pietro Marco Congedo, Nassim Razaaly, 2017 .

Robust Optimization Methods and Overview over some UQ Activities in Hypersonics

Pietro Marco Congedo, 2014 .

Robust Optimization of a Supersonic ORC TurbineCascade under a probabilistic constraint: a Quantile Formulation

Pietro Marco Congedo, Nassim Razaaly, Giacomo Persico, 2018 .

Quantification of uncertainties in numerical simulation

Pietro Marco Congedo, 2013 .

New Software and Platforms - RobUQ

Pietro Marco Congedo, Maria Giovanna Rodio, Kunkun Tang, 2015 .

Simulation d'écoulements de gaz denses en turbines

Pietro Marco Congedo, Christophe Eric Corre, 2009 .

Adaptive strategy in multiresolution framework for uncertainty quantification

Rémi Abgrall, Gianluca Geraci, Pietro Marco Congedo, 2012 .

Bayesian-based method with metamodels for rebuilding freestream conditions in atmospheric entry flows

Pietro Marco Congedo, Thierry Magin, Julie Tryoen, 2013 .

Semi-intrusive Multi-resolution Methods

Pietro Marco Congedo, 2014 .

Numerical Simulation of a Battery Thermal Management System Under Uncertainty for a Racing Electric Car

Pietro Marco Congedo, Héloïse Beaugendre, Elie Solai, 2019 .

UQ: application to algorithms

Pietro Marco Congedo, 2014 .

Uncertainty Quantification in Systems of Solvers

Pietro Marco Congedo, Olivier Le Maitre, Francois Sanson, 2017 .

An Alternative Formulation for Design Under Uncertainty

Gianluca Geraci, Pietro Marco Congedo, Gianluca Iaccarino, 2018, Computational Methods in Applied Sciences.

An innovative phase transition modeling for reproducing cavitation through a five-equation and seven-equation models and complex equation of state

Rémi Abgrall, Pietro Marco Congedo, Maria Giovanna Rodio, 2015 .

Uncertainty quantification in numerical simulation and application to complex flows

Pietro Marco Congedo, 2013 .

Towards a unified multiresolution scheme for treating discontinuities in differential equations with uncertainties

Gianluca Geraci, Pietro Marco Congedo, Rémi Abgrall, 2017, Math. Comput. Simul..

Analysis and Optimization of Dense gas flows: Application to organic Rankine cycles turbines

Pietro Marco Congedo, P. Congedo, 2007 .

Quantile-based robust optimization of a supersonic nozzle for organic rankine cycle turbines

Pietro Marco Congedo, Nassim Razaaly, Giulio Gori, 2020, Applied Mathematical Modelling.

Innovative formulation for the numerical simulation of uncertain shock waves in dispersed two-phase flows

Rémi Abgrall, Pietro Marco Congedo, Maria Giovanna Rodio, 2012 .

GA-Hardness of dense-gas flow optimization problems

Pietro Marco Congedo, P. Cinnella, P. Congedo, 2006 .

Numerical simulation and UQ in aerospace application

Pietro Marco Congedo, 2016 .

Robust optimization of a helicopter rotor airfoil using multi-fidelity approach

Pietro Marco Congedo, Giuseppe Quaranta, Alberto Guardone, 2015 .

An Efficient Reliability Analysis Tool for the Computation of Low TailProbabilities and Extreme Quantiles in Multiple Failure Regions: Application to Organic RankineCycles

Pietro Marco Congedo, Nassim Razaaly, 2018 .

Robust performance assessment for an oscillating airfoil using a Time-Spectral Method and a non-intrusive uncertainty propagation method

Rémi Abgrall, Pietro Marco Congedo, Christophe Eric Corre, 2012 .

A one-time truncate and encode multiresolution stochastic framework

Rémi Abgrall, Gianluca Geraci, Pietro Marco Congedo, 2014, J. Comput. Phys..

Efficient Computation of Rare Events: Failure Probability and Quantile

Pietro Marco Congedo, Nassim Razaaly, 2018 .

General introduction to Uncertainty Quantification

Pietro Marco Congedo, P. Congedo, 2016 .

Robust aerodynamic optimization strategies for rotor blades morphing airfoils

Pietro Marco Congedo, Giuseppe Quaranta, Alberto Guardone, 2015 .

Computation of tail probabilities for non-classical gasdynamic phenomena

Pietro Marco Congedo, Nassim Razaaly, N. Razaaly, 2016 .

Kriging-sparse Polynomial Dimensional Decomposition surrogate model with adaptive refinement

Pietro Marco Congedo, Ghina Jannoun, Andrea F. Cortesi, 2019, J. Comput. Phys..

Robust Optimization of a Supersonic ORC TurbineCascade: a Quantile-based Approach

Giacomo Bruno Azzurro Persico, Pietro Marco Congedo, Nassim Razaaly, 2018 .

About the prediction of Organic Rankine Cycles performances integrating local high-fidelity turbines simulation and uncertainties

Gianluca Geraci, Pietro Marco Congedo, Dante De Santis, 2014 .

Assessment of Deterministic Shape Optimizations Within a Stochastic Framework for Supersonic Organic Rankine Cycle Nozzle Cascades

Giacomo Bruno Azzurro Persico, Pietro Marco Congedo, Giacomo Persico, 2019, Journal of Engineering for Gas Turbines and Power.

New Software and Platforms - Cut-ANOVA

Pietro Marco Congedo, Kunkun Tang, 2015 .

Shape optimization under uncertainty of morphing airfoils

Pietro Marco Congedo, Giuseppe Quaranta, Alberto Guardone, 2018 .

Overview over some Uncertainty Quantification (UQ) Activities in Hypersonics

Pietro Marco Congedo, 2014 .

Assessment of robust optimization for design of rotorcraft airfoils in forward flight

Pietro Marco Congedo, Giuseppe Quaranta, Paolo Maria Congedo, 2020, Aerospace Science and Technology.

Different Measure Approximations for Efficient Constrained Multi-Objective Optimization under Uncertainty

Pietro Marco Congedo, Mickael Rivier, 2019 .

Robust Optimization of ORC blades turbines under a low quantile constraint

Giacomo Bruno Azzurro Persico, Pietro Marco Congedo, Nassim Razaaly, 2017 .

High Order Nonlinear Numerical Schemes for Evolutionary PDEs: Proceedings of the European Workshop HONOM 2013, Bordeaux, France, March 18-22, 2013

Rémi Abgrall, Pietro Marco Congedo, Vincent Perrier, 2014 .

New Software and Platforms - Sparse-PDD

Pietro Marco Congedo, Kunkun Tang, 2015 .

Surrogate-Assisted Bounding-Box approach applied to constrained multi-objective optimisation under uncertainty

Pietro Marco Congedo, Mickael Rivier, P. Congedo, 2018, Reliab. Eng. Syst. Saf..

New Results - Formulation of stochastic methods for CFD

Pietro Marco Congedo, Maria Giovanna Rodio, P. Congedo, 2015 .

Forward and backward uncertainty quantification with active subspaces: Application to hypersonic flows around a cylinder

Pietro Marco Congedo, Paul G. Constantine, Andrea Cortesi, 2020, J. Comput. Phys..

Uncertainty Quantification of Inviscid Flows Through a Supersonic ORC Turbine Cascade

Giacomo Bruno Azzurro Persico, Pietro Marco Congedo, Nassim Razaaly, 2017 .

A Novel Weakly-Intrusive Non-linear Multiresolution Framework for Uncertainty Quantification in Hyperbolic Partial Differential Equations

Rémi Abgrall, Gianluca Geraci, Pietro Marco Congedo, 2015, Journal of Scientific Computing.

Low-cost optimization under uncertainty through box representation of robustness measures

Pietro Marco Congedo, Mickael Rivier, 2018 .

Computation of low-probability events

Pietro Marco Congedo, Nassim Razaaly, 2016 .

A simplex-based numerical framework for simple and efficient robust design optimization

Pietro Marco Congedo, Jeroen A. S. Witteveen, Gianluca Iaccarino, 2013, Comput. Optim. Appl..

Robust analysis of cavitating flows in the Venturi tube

Pietro Marco Congedo, Maria Giovanna Rodio, P. Congedo, 2014 .

A Kriging-PDD surrogate model for low-cost sensitivity analysis

Pietro Marco Congedo, Andrea Cortesi, 2016 .

New perspectives for robust design optimization

Pietro Marco Congedo, 2012 .

A novel framework for multi-objective optimization under uncertainties: An imprecise Pareto front and evolutive metamodel coupling

Pietro Marco Congedo, Mickael Rivier, 2017 .

Advanced methods for uncertainty quantification in compressible flows

Pietro Marco Congedo, 2014 .

Multi-fidelity physics-based method for robust optimization with application to a hovering rotor airfoil

Pietro Marco Congedo, Giuseppe Quaranta, Alberto Guardone, 2015 .

Systems of Gaussian process models for directed chains of solvers

Pietro Marco Congedo, Olivier Le Maitre, Francois Sanson, 2019, Computer Methods in Applied Mechanics and Engineering.

Uncertainty Propagation Framework for Systems of Solvers

Pietro Marco Congedo, Olivier Le Maitre, Francois Sanson, 2018 .

Efficient optimization under uncertainty within the SABBa framework

Pietro Marco Congedo, Mickael Rivier, 2018 .

Contributions to the reliability of numerical simulations in fluid mechanics. Application to the flow simulation of thermodynamically complex gases

Pietro Marco Congedo, 2013 .

Robust aerodynamic optimization of morphing airfoils for helicopter rotor blades

Pietro Marco Congedo, Giuseppe Quaranta, Alberto Guardone, 2015 .

Robust optimization for uncertain dense gas flows

Pietro Marco Congedo, 2011 .

A Surrogate-Assisted Multi-fidelity Measure Approximation Framework for Efficient Constrained Multiobjective Optimization Under Uncertainty

Pietro Marco Congedo, Mickael Rivier, 2019 .

Uncertainty Quantification Framework for Complex Systemsof Solvers

Pietro Marco Congedo, Francois Sanson, Olivier Le Maitre, 2018 .

Some perspectives on uncertainty-based derivative-free optimization

Pietro Marco Congedo, 2015 .

Scientific Foundations - Uncertainty quantification

Rémi Abgrall, Pietro Marco Congedo, Mario Ricchiuto, 2011 .

Novel algorithm using Active Metamodel Learning and Importance Sampling: Application to multiple failure regions of low probability

Pietro Marco Congedo, Nassim Razaaly, P. Congedo, 2018, J. Comput. Phys..

Surrogate-Assisted Bounding-Box Approach for Optimization Problems with Approximated Objectives

Pietro Marco Congedo, Mickael Rivier, 2018 .

Breakup prediction under uncertainty: Application to upper stage controlled reentries from GTO orbit

Pietro Marco Congedo, Charles Bertorello, Jean-Marc Bouilly, 2019 .

Extension of AK-MCS for the efficient computation of very small failure probabilities

Pietro Marco Congedo, Nassim Razaaly, P. Congedo, 2020, Reliab. Eng. Syst. Saf..

Advanced methods for uncertainty quantification and application of adjoints

Pietro Marco Congedo, 2015 .

Uncertainty Quantification in Computational Science : some examples of interaction between nume- rical simulation and experiments

Pietro Marco Congedo, 2016 .

Uncertainty Quantification Strategies in Systems of Solvers

Pietro Marco Congedo, Francois Sanson, Olivier Le Maitre, 2018 .

On the predictive estimation of converging shock waves

Rémi Abgrall, Gianluca Geraci, Pietro Marco Congedo, 2013 .

Adaptive surrogate modeling by ANOVA and sparse polynomial dimensional decomposition for global sensitivity analysis in fluid simulation

Rémi Abgrall, Pietro Marco Congedo, Kunkun Tang, 2016, J. Comput. Phys..

Bayesian inference of thermodynamic models from vapor flow experiments

Pietro Marco Congedo, O. P. Le Maître, Giulio Gori, 2020, Computers & Fluids.

About the design of morphing airfoils under uncertainties

Pietro Marco Congedo, Giuseppe Quaranta, Alberto Guardone, 2015 .

Efficient uncertainty propagation in systems of solvers

Pietro Marco Congedo, Francois Sanson, Olivier Le Maitre, 2018 .

Sensitivity analysis and characterization of the uncertain input data for the EXPERT vehicle

Rémi Abgrall, Pietro Marco Congedo, N. Villedieu, 2013 .

Intrusive methods for Uncertainty Quantification

Pietro Marco Congedo, 2016 .

Space debris reentry prediction and ground risk estimation using a probabilistic breakup model

Pietro Marco Congedo, Charles Bertorello, Jean-Marc Bouilly, 2019 .

Efficient ANOVA decomposition and metamodel-based multi-objective robust optimization

Rémi Abgrall, Gianluca Geraci, Pietro Marco Congedo, 2011 .

About the Construction of a Robust Metamodel to Estimate the Stagnation Heat Flux for the Expert Vehicle

Pietro Marco Congedo, Andrea Cortesi, Thierry Magin, 2015 .

Assessment of a non-conservative four-equation multiphase system with phase transition

Pietro Marco Congedo, Marica Pelanti, Paola Bacigaluppi, 2022, J. Sci. Comput..

Tolerance Optimization of Supersonic ORC Turbine Stator

Pietro Marco Congedo, Nassim Razaaly, Giacomo Persico, 2021 .

A Bayesian approach for quantile optimization problems with high-dimensional uncertainty sources

Stefan Görtz, Pietro Marco Congedo, Christian Sabater, 2021, Computer Methods in Applied Mechanics and Engineering.

On the sensitivity of structural turbulence uncertainty estimates to time and space resolution

Pietro Marco Congedo, O. P. Le Maître, Giulio Gori, 2021 .

Toward a Unified Multiresolution Scheme in the Combined Physical/Stochastic Space for Stochastic Differential Equations

Rémi Abgrall, Gianluca Geraci, Pietro Marco Congedo, 2012 .

Impact of geometric, operational, and model uncertainties on the non-ideal flow through a supersonic ORC turbine cascade

Giacomo Bruno Azzurro Persico, Pietro Marco Congedo, Nassim Razaaly, 2019, Energy.

Numerical Solver for Dense Gas Flows

Pietro Marco Congedo, Paola Cinnella, 2005 .

An adaptive multiresolution semi‐intrusive scheme for UQ in compressible fluid problems

Rémi Abgrall, Gianluca Geraci, Pietro Marco Congedo, 2015 .

Effects of inlet uncertainties on prediction of turbulent flows using RANS and LES simulations

Pietro Marco Congedo, Christophe Eric Corre, Guillaume Balarac, 2011 .

Inviscid and viscous behavior of dense gas flows past an airfoil

Pietro Marco Congedo, P. Cinnella, 2007 .

High-order statistics in global sensitivity analysis: Decomposition and model reduction

Rémi Abgrall, Gianluca Geraci, Pietro Marco Congedo, 2016 .

TSI metamodels-based multi-objective robust optimization

Rémi Abgrall, Gianluca Geraci, Pietro Marco Congedo, 2013 .

Numerical investigation of dense-gas effects in turbomachinery

Pietro Marco Congedo, Paola Cinnella, Christophe Eric Corre, 2011 .

On the use of the Sparse Grid techniques coupled with Polynomial Chaos

Rémi Abgrall, Gianluca Geraci, Pietro Marco Congedo, 2011 .

Inviscid and viscous aerodynamics of dense gases

Pietro Marco Congedo, Paola Cinnella, P. Congedo, 2007, Journal of Fluid Mechanics.

Backward uncertainty propagation method in flow problems: Application to the prediction of rarefaction shock waves

Pietro Marco Congedo, Christophe Eric Corre, Jeroen A. S. Witteveen, 2012 .

Nozzle Shape Optimization for Wet-Steam Flows

Pietro Marco Congedo, P. Cinnella, Michele Giordano, 2009 .

Optimal airfoil shapes for viscous transonic flows of Bethe-Zel'dovich-Thompson fluids

Pietro Marco Congedo, P. Cinnella, P. Congedo, 2008 .

Quantification of uncertainty on the catalytic property of reusable thermal protection materials from high enthalpy experiments

Pietro Marco Congedo, Olivier Chazot, Francesco Panerai, 2017 .

A non-linear residual distribution scheme for real-gas computations

Rémi Abgrall, Pietro Marco Congedo, Dante De Santis, 2014 .

Shape optimization for dense gas flows through turbine cascades

Pietro Marco Congedo, Paola Cinnella, Christophe Eric Corre, 2006 .

Shape optimization of an airfoil in a BZT flow with multiple-source uncertainties

Pietro Marco Congedo, Christophe Eric Corre, C. Corre, 2011 .

Optimization of an ORC supersonic nozzle under epistemic uncertainties due to turbulence models

Pietro Marco Congedo, Gianluca Iaccarino, Nassim Razaaly, 2019 .

Runup and uncertainty quantification: sensitivity analysis via ANOVA decomposition

Pietro Marco Congedo, Mario Ricchiuto, Argiris I. Delis, 2014 .

Numerical simulation of cavitating flows under uncertainty

Rémi Abgrall, Pietro Marco Congedo, Maria Giovanna Rodio, 2016 .

A simple semi-intrusive method for Uncertainty Quantification of shocked flows, comparison with a non-intrusive Polynomial Chaos method

Rémi Abgrall, Pietro Marco Congedo, Christophe Eric Corre, 2010 .

Sensitivity analysis of dense gas flow simulations to thermodynamic uncertainties

Pietro Marco Congedo, Paola Cinnella, Valentino Pediroda, 2011 .

About the uncertainty quantification of turbulence and cavitation models in cavitating flows simulations

Pietro Marco Congedo, Maria Giovanna Rodio, Eric Goncalves, 2015 .

Numerical prediction of turbulent flows using Reynolds‐averaged Navier–Stokes and large‐eddy simulation with uncertain inflow conditions

Pietro Marco Congedo, Christophe Eric Corre, Guillaume Balarac, 2013 .

Sensitivity analysis using anchored ANOVA expansion and high‐order moments computation

Rémi Abgrall, Pietro Marco Congedo, Kunkun Tang, 2015 .

Airfoil Shape Optimization for Transonic Flows of Bethe-Zel'dovich-Thompson Fluids

Pietro Marco Congedo, Paola Cinnella, Christophe Eric Corre, 2007 .

CNES activities on polynomial chaos expansion for uncertainty propagation

Pietro Marco Congedo, Emmanuelle Bignon, Vincent Morand, 2017 .

Quantification of Thermodynamic Uncertainties in Real Gas Flows

Pietro Marco Congedo, Paola Cinnella, Valentino Pediroda, 2009 .

Aerodynamic Performance of Transonic Bethe-Zel'dovich-Thompson Flows past an Airfoil

Pietro Marco Congedo, Paola Cinnella, 2005 .

Modeling And Analysis of Natural Convection Heat Transfer In Nanofluids

Pietro Marco Congedo, Paolo Maria Congedo, Stefano Collura, 2008 .

On the Use of High-order Statistics in Robust Design Optimization

Gianluca Geraci, Pietro Marco Congedo, Gianluca Iaccarino, 2014 .