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Didier Lucor, Ph.D.

Affiliations: 
2004 Brown University, Providence, RI 
Area:
Applied Mechanics, Mechanical Engineering
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"Didier Lucor"
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George Em Karniadakis grad student 2004 Brown
 (Generalized polynomial chaos: Applications to random oscillators and flow -structure interactions.)

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Publications

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Adjoua O, Pitre-Champagnat S, Lucor D. (2019) Reduced-order modeling of hemodynamics across macroscopic through mesoscopic circulation scales. International Journal For Numerical Methods in Biomedical Engineering. e3274
GOUPY A, MILLET C, LUCOR D. (2019) Infrasound propagation in multiple-scale random media using generalized polynomial chaos The Journal of the Acoustical Society of America. 145: 1900-1900
Rochoux M, Collin A, Zhang C, et al. (2018) Front Shape Similarity Measure for Shape-Oriented Sensitivity Analysis and Data Assimilation for Eikonal Equation Esaim: Proceedings and Surveys. 63: 258-279
Lucor D, Le Maître OP. (2018) Cardiovascular Modeling With Adapted Parametric Inference Esaim: Proceedings and Surveys. 62: 91-107
Nitschke C, Cinnella P, Lucor D, et al. (2017) Model-form and predictive uncertainty quantification in linear aeroelasticity Journal of Fluids and Structures. 73: 137-161
Resmini A, Peter J, Lucor D. (2016) Sparse grids-based stochastic approximations with applications to aerodynamics sensitivity analysis International Journal For Numerical Methods in Engineering. 106: 32-57
Pöette G, Birolleau A, Lucor D. (2015) Iterative polynomial approximation adapting to arbitrary probability distribution Siam Journal On Numerical Analysis. 53: 1559-1584
Bollache E, Kachenoura N, Redheuil A, et al. (2014) Descending aorta subject-specific one-dimensional model validated against in vivo data Journal of Biomechanics. 47: 424-431
Rochoux MC, Ricci S, Lucor D, et al. (2014) Towards predictive data-driven simulations of wildfire spread - Part I: Reduced-cost ensemble Kalman filter based on a polynomial chaos surrogate model for parameter estimation Natural Hazards and Earth System Sciences. 14: 2951-2973
Birolleau A, Poëtte G, Lucor D. (2014) Adaptive bayesian inference for discontinuous inverse problems, application to hyperbolic conservation laws Communications in Computational Physics. 16: 1-34
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