D. Lucor

发表

Stochastic Modeling of Flow-Structure Interactions Using Generalized Polynomial Chaos

D. Xiu, G. Karniadakis, D. Lucor, 2002 .

Macroscopic model of fluid structure interaction in cylinder arrangement using theory of mixture

P. Sagaut, D. Lucor, A. Gineau, 2020, Computers & Fluids.

Adaptive Bayesian Inference for Discontinuous Inverse Problems, Application to Hyperbolic Conservation Laws

D. Lucor, A. Birolleau, Gaël Poëtte, 2014 .

Effects of Oblique Inflow in Vortex-Induced Vibrations

George Em Karniadakis, Didier Lucor, G. Karniadakis, 2003 .

Mono- and multi-frequency vortex-induced vibrations of a long tensioned beam in shear flow

M. Triantafyllou, D. Lucor, R. Bourguet, 2012 .

Parametric study of a two degree-of-freedom cylinder subject to vortex-induced vibrations

Michael S. Triantafyllou, Didier Lucor, M. Triantafyllou, 2008 .

Vortex dislocations and force distribution of long flexible cylinders subjected to sheared flows

George Em Karniadakis, Didier Lucor, L. Imas, 2001 .

Parametric Study of Two Degree-of-Freedom Vortex-Induced Vibrations of a Cylinder in a Two-Dimensional Flow

M. Triantafyllou, D. Lucor, 2009 .

Noisy inflows cause a shedding-mode switching in flow past an oscillating cylinder.

George Em Karniadakis, Didier Lucor, G. Karniadakis, 2004, Physical review letters.

Flow past a stationary and moving cylinder: DNS at Re=10,000

S. Dong, D. Lucor, S. Dong, 2004, 2004 Users Group Conference (DOD_UGC'04).

Sensitivity of two-dimensional spatially developing mixing layers with respect to uncertain inflow conditions

Pierre Sagaut, Didier Lucor, Jordan Ko, 2008 .

Descending aorta subject-specific one-dimensional model validated against in vivo data.

É. Mousseaux, N. Kachenoura, D. Lucor, 2014, Journal of biomechanics.

Uncertainty quantification of inflow boundary condition and proximal arterial stiffness-coupled effect on pulse wave propagation in a vascular network.

Didier Lucor, Laurent Dumas, D. Lucor, 2017, International journal for numerical methods in biomedical engineering.

A Robust and Subject-Specific Hemodynamic Model of the Lower Limb Based on Noninvasive Arterial Measurements.

D. Lucor, L. Dumas, Tamara El Bouti, 2017, Journal of biomechanical engineering.

Uncertainty quantification of inflow boundary condition and proximal arterial stiffness–coupled effect on pulse wave propagation in a vascular network

D Lucor, D. Lucor, L. Dumas, 2016, International journal for numerical methods in biomedical engineering.

BLOOD FLOW MODELING AND APPLICATION TO NON-INVASIVE DETERMINATION OF ARTERIAL STIFFNESS

D. Lucor, L. Dumas, T. E. Bouti, 2013 .

Error covariance tuning in variational data assimilation: application to an operating hydrological model

Jean-Philippe Argaud, Angélique Ponçot, Bertrand Iooss, 2020, Stochastic Environmental Research and Risk Assessment.

Kinetics of the coagulation cascade including the contact activation system: sensitivity analysis and model reduction

F. Nicoud, D. Lucor, S. Mendez, 2019, Biomechanics and Modeling in Mechanobiology.

Modeling uncertainty in flow-structure interactions

D. Xiu, G. Karniadakis, D. Lucor, 2001 .

Reduced-order modeling for parameterized large-eddy simulations of atmospheric pollutant dispersion

D. Lucor, T. Jaravel, M. Rochoux, 2022, Stochastic Environmental Research and Risk Assessment.

Reduced‐order modeling of hemodynamics across macroscopic through mesoscopic circulation scales

D. Lucor, S. Pitre-Champagnat, Olivier Adjoua, 2019, International journal for numerical methods in biomedical engineering.

Extension of the CIRCE methodology to improve the Inverse Uncertainty Quantification of several combined thermal-hydraulic models

D. Lucor, G. Damblin, Alberto Ghione, 2022, Nuclear Engineering and Design.

Reynolds Stress Anisotropy Tensor Predictions for Turbulent Channel Flow using Neural Networks

D. Lucor, G. Damblin, Jean-Marc Martinez, 2022, 2208.14301.

Computational Analysis of Flow Structures in Turbulent Ventricular Blood Flow Associated With Mitral Valve Intervention

J. Hoffman, D. Lucor, Frida Svelander, 2021, Frontiers in Physiology.

UNCERTAINTY QUANTIFICATION IN A TWO-DIMENSIONAL RIVER HYDRAULIC MODEL

S. Ricci, D. Lucor, N. Goutal, 2019, Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019).

Tackling random fields non-linearities with unsupervised clustering of polynomial chaos expansion in latent space: application to global sensitivity analysis of river flooding

S. Ricci, Matthias De Lozzo, D. Lucor, 2021, Stochastic Environmental Research and Risk Assessment.

A Graph Clustering Approach to Localization for Adaptive Covariance Tuning in Data Assimilation Based on State-Observation Mapping

Jean-Philippe Argaud, Angélique Ponçot, Bertrand Iooss, 2020, Mathematical Geosciences.

Vortex mode selection of a rigid cylinder subject to VIV at low mass-damping

George Em Karniadakis, Didier Lucor, G. Karniadakis, 2005 .

Observation data compression for variational assimilation of dynamical systems

Jean-Philippe Argaud, Didier Lucor, Sibo Cheng, 2021, J. Comput. Sci..

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review

A. Carrassi, M. Bocquet, Ronan Fablet, 2023, IEEE/CAA Journal of Automatica Sinica.

Uncertainty quantification for systems of conservation laws

Bruno Després, Didier Lucor, Gaël Poëtte, 2009, J. Comput. Phys..

Stochastic response of the laminar flow past a flat plate under uncertain inflow conditions

Pierre Sagaut, Imran Afgan, Didier Lucor, 2012 .

A model of the anode from the chlorate cell

D. Lucor, D. Simonsson, E. Fontes, 1999 .

Effects of base flow uncertainty on Couette flow stability

P. Sagaut, D. Lucor, J. Ko, 2011 .

How to estimate aortic characteristic impedance from magnetic resonance and applanation tonometry data?

A. Redheuil, É. Mousseaux, N. Kachenoura, 2015, Journal of hypertension.

Investigating some original couplings / uncouplings in combustion : Role of gravity , turbulence , and magnetic fields

R. Marchiano, D. Lucor, J. Torero, 2011 .

Iterative Polynomial Approximation Adapting to Arbitrary Probability Distribution

GAËL POËTTE, ALEXANDRE BIROLLEAU, DIDIER LUCOR, 2015, SIAM J. Numer. Anal..

Physics-aware deep neural networks for surrogate modeling of turbulent natural convection pdf

Didier Lucor, Anne Sergent, Atul Agrawal, 2021, ArXiv.

Stochastic design optimization: Application to reacting flows

Pierre Sagaut, Didier Lucor, P. Sagaut, 2007 .

Adaptive Generalized Polynomial Chaos for Nonlinear Random Oscillators

George E. Karniadakis, Didier Lucor, G. Karniadakis, 2005, SIAM J. Sci. Comput..

Prediction of stochastic limit cycle oscillations using an adaptive Polynomial Chaos method

Didier Lucor, Jean-Camille Chassaing, D. Lucor, 2010 .

Model-form and predictive uncertainty quantification in linear aeroelasticity

Paola Cinnella, Didier Lucor, Jean-Camille Chassaing, 2017 .

Uncertainty Quantification in Computational Fluid Dynamics

Hester Bijl, Siddhartha Mishra, Didier Lucor, 2013, Lecture Notes in Computational Science and Engineering.

Advances in Parametric and Model-Form Uncertainty Quantification in Canonical Aeroelastic Systems

Didier Lucor, Angela Vincenti, Jean-Camille Chassaing, 2018 .

Polynomial Surrogates for Open-Channel Flows in Random Steady State

Didier Lucor, Mélanie C. Rochoux, Cédric Goeury, 2018, Environmental Modeling & Assessment.

Sensitivity analysis of large-eddy simulations to subgrid-scale-model parametric uncertainty using polynomial chaos

Johan Meyers, Pierre Sagaut, Didier Lucor, 2007, Journal of Fluid Mechanics.

Predictability and uncertainty in CFD

George Em Karniadakis, Dongbin Xiu, Didier Lucor, 2003 .

Performance Evaluation of Generalized Polynomial Chaos

Dongbin Xiu, George E. Karniadakis, Didier Lucor, 2003, International Conference on Computational Science.

Performance Evaluation of Generalized

D. Xiu, D. Lucor, 2003 .

Sparse grids‐based stochastic approximations with applications to aerodynamics sensitivity analysis

A. Resmini, D. Lucor, D. Lucor, 2016 .

Numerical modeling of arterial pulse wave propagation to characterize aortic hemodynamic: Validation using magnetic resonance data

A. Redheuil, É. Mousseaux, N. Kachenoura, 2013 .

On sensitivity of RANS simulations to uncertain turbulent inflow conditions

Pierre Sagaut, Didier Lucor, Xingsi Han, 2012 .

Uncertainty quantification of a thrombosis model considering the clotting assay PFA‐100®

D. Lucor, J. Antaki, Rodrigo Méndez Rojano, 2021, International journal for numerical methods in biomedical engineering.

Recent Advances in Data-Driven Wildland Fire Spread Modeling: Treatment of Position Errors and Joint State-Parameter Estimation

P. Moireau, D. Lucor, M. Rochoux, 2018 .

Error covariance tuning in variational data assimilation: application to an operating hydrological model

B. Iooss, D. Lucor, Sibo Cheng, 2020, Stochastic Environmental Research and Risk Assessment.

Background error covariance iterative updating with invariant observation measures for data assimilation

Jean-Philippe Argaud, Angélique Ponçot, Bertrand Iooss, 2019, Stochastic Environmental Research and Risk Assessment.

Treatment of uncertain material interfaces in compressible flows

Bruno Després, Didier Lucor, Gaël Poëtte, 2011 .

Physics-informed neural networks modeling for systems with moving immersed boundaries: application to an unsteady flow past a plunging foil

D. Lucor, Dipanjan Majumdar, Sunetra Sarkar, 2023, ArXiv.

Simple computational strategies for more effective physics-informed neural networks modeling of turbulent natural convection

D. Lucor, A. Sergent, A. Agrawal, 2022, J. Comput. Phys..

Robust Uncertainty Propagation in Systems of Conservation Laws with the Entropy Closure Method

Bruno Després, Didier Lucor, Gaël Poëtte, 2013, Uncertainty Quantification in Computational Fluid Dynamics.

Cardiovascular Modeling With Adapted Parametric Inference

Didier Lucor, Olivier Le Maitre, D. Lucor, 2018 .

Riser Response Analysis by Modal Phase Reconstruction

Michael S. Triantafyllou, Didier Lucor, M. Triantafyllou, 2008 .

Riser modal identification in CFD and full-scale experiments

Michael S. Triantafyllou, Didier Lucor, Harish Mukundan, 2006 .

DNS-DERIVED FORCE DISTRIBUTION ON FLEXIBLE CYLINDERS SUBJECT TO VORTEX-INDUCED VIBRATION

George Em Karniadakis, Didier Lucor, Constantinos Evangelinos, 2000 .

A comprehensive Bayesian framework for the development, validation and uncertainty quantification of thermal-hydraulic models

D. Lucor, G. Damblin, Alberto Ghione, 2022, Annals of Nuclear Energy.

Kinetics of the coagulation cascade including the contact activation system: sensitivity analysis and model reduction

F. Nicoud, D. Lucor, S. Mendez, 2019, Biomechanics and Modeling in Mechanobiology.

Correlation Length and Force Phasing of a Rigid Cylinder Subject to VIV

George Em Karniadakis, Didier Lucor, G. Karniadakis, 2003 .

Stochastic nonlinear aeroelastic analysis of a supersonic lifting surface using an adaptive spectral method

Didier Lucor, Jean-Camille Chassaing, D. Lucor, 2012 .

Generalized polynomial chaos and random oscillators

George Em Karniadakis, Didier Lucor, G. Karniadakis, 2004 .

Covariance kernel representations of multidimensional second-order stochastic processes

Didier Lucor, Chau-Hsing Su, C. Su, 2006, J. Comput. Phys..

A gPC-based approach to uncertain transonic aerodynamics

Pierre Sagaut, Didier Lucor, Philippe Guillen, 2010 .

A Robust and Subject-Specific Hemodynamic Model of the Lower Limb Based on Noninvasive Arterial Measurements.

D. Lucor, L. Dumas, Tamara El Bouti, 2017, Journal of biomechanical engineering.

ROBUST UNCERTAINTY QUANTIFICATION USING PRECONDITIONED LEAST-SQUARES POLYNOMIAL APPROXIMATIONS WITH l1-REGULARIZATION

A. Belme, Didier Lucor, D. Lucor, 2016 .

Analysis of aortic pressure fields from 4D flow MRI in healthy volunteers: Associations with age and left ventricular remodeling

Alban Redheuil, Emmanuel Messas, Nadjia Kachenoura, 2019, Journal of magnetic resonance imaging : JMRI.

Karhunen-Loeve Representation of Periodic Second-Order Autoregressive Processes

George E. Karniadakis, Didier Lucor, Chau-Hsing Su, 2004, International Conference on Computational Science.

Stochastic Investigation of Flows About Airfoils at Transonic Speeds

Didier Lucor, Jean-Camille Chassaing, D. Lucor, 2010 .

Is the Smagorinsky coefficient sensitive to uncertainty in the form of the energy spectrum

Pierre Sagaut, Didier Lucor, Marcello Meldi, 2011 .

Goal-oriented error control of stochastic system approximations using metric-based anisotropic adaptations

Frédéric Alauzet, Anca Belme, Didier Lucor, 2018, J. Comput. Phys..

Uncertainty Quantification in Computational Fluid Dynamics

C. Schwab, H. Bijl, D. Lucor, 2013, Lecture Notes in Computational Science and Engineering.

Mono‐block and non‐matching multi‐block structured mesh adaptation based on aerodynamic functional total derivatives for RANS flow

Didier Lucor, A. Resmini, J. Peter, 2017 .

Philippe Moireau, Annabelle Collin, Didier Lucor, 2018 .

Pressure and Flow Interplay in Aortic Dilation Using 4D Flow Magnetic Resonance Imaging

Élie Mousseaux, Nadjia Kachenoura, Thomas Dietenbeck, 2019, 2019 Computing in Cardiology (CinC).

A stochastic surrogate model approach applied to calibration of unstable fluid flow experiments

Didier Lucor, Gaël Poëtte, H. Jourdren, 2012 .

Quantification of the effects of uncertainties in turbulent flows through generalized Polynomial Chaos

P. Sagaut, D. Lucor, M. Meldi, 2011 .

Uncertainty quantification applied to the performance analysis of a conical diffuser

Rodney Persky, Emilie Sauret, Didier Lucor, 2014 .

Flow‐induced vibrations of non‐linear cables. Part 1: Models and algorithms

George Em Karniadakis, Didier Lucor, Constantinos Evangelinos, 2002 .