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@ARTICLE{AR-CMGC-19-190, author = {Voldoire, A. and Exarchou, E. and Sanchez-Gomez, E. and Demissie, T. and Deppenmeier, A.L. and Frauen, C. and Goubanova, K. and Hazeleger, W. and Keenlyside, N. and Koseki, S. and Prodhomme, C. and Shonk, J. and Toniazzo, T. and Traoré, A.K. }, title = {Role of wind stress in driving SST biases in the Tropical Atlantic}, year = {2019}, number = {5}, volume = {53}, pages = {3481–3504}, doi = {10.1007/s00382-019-04717-0}, journal = {Climate Dynamics}, pdf = {https://cerfacs.fr/wp-content/uploads/2019/12/GlobC-Article-Voldoire2019_Article_RoleOfWindStressInDriving.pdf}}

@ARTICLE{AR-CFD-19-168, author = {Rochette, B. and Riber, E. and Vermorel, O. and Cuenot, B. }, title = {A generic and self-adapting method for flame detection and thickening in the Thickened Flame model}, year = {2019}, number = {February 2020}, volume = {212}, pages = {448-458}, doi = {10.1016/j.combustflame.2019.11.015}, journal = {Combustion and Flame}, abstract = {A generic and self-adapting method for flame front detection and thickening is presented. This approach relies solely on geometric considerations and unlike previous thickening methods does not need any parameterization nor preliminary calibration. The detection process is based on the analysis of the curvature of a test function, associating a bell-curve shape to a flame front. Once the front is located, the front thickness is also evaluated from the test function, allowing (1) a thickening restricted to under-resolved flame regions, (2) a self-adapting thickening of the front. The thickening process is finally applied to the detected front, over a normal-to-the-flame distance, using a Lagrangian point-localization algorithm. The method was developed and implemented in an unstructured and massively parallel environment and is therefore directly usable for the computation of complex configurations. Three test cases are presented to validate the methodology, ranging from a one-dimensional laminar premixed flame to the VOLVO turbulent premixed flame.}, keywords = {COMBUSTION}}

@ARTICLE{AR-CFD-19-156, author = {Harnieh, M. and Thomas, M. and Bizzari, R. and Dombard, J. and Duchaine, F. and Gicquel, L.Y.M. }, title = {Assessment of a coolant injection model on cooled high-pressure vanes with Large-Eddy Simulation}, year = {2019}, volume = {online}, doi = {10.1007/s10494-019-00091-3}, journal = {Flow Turbulence and Combustion}, abstract = {The high-pressure turbine blades are the components of the aero-engines which are the most exposed to extreme thermal conditions. To alleviate this issue, the blades are equipped with cooling systems to ensure long-term operation. However, the accurate prediction of the blade temperature and the design of the cooling system in an industrial context still remains a major challenge. Potential improvement is foreseen with Large-Eddy Simulation (LES) which is well suited to predict turbulent flows in such complex systems. Nonetheless, performing LES of a real cooled high-pressure turbine still remains expensive. To alleviate the issues of CPU cost, a cooling model recently developed in the context of combustion chamber liners is assessed in the context of blade cooling. This model was initially designed to mimic coolant jets injected at the wall surface and does not require to mesh the cooling pipes leading to a significant reduction in the CPU cost. The applicability of the mod el is here evaluated on the cooled Nozzle Guide Vanes (NGV) of the Full Aerothermal Combustor Turbine interactiOns Research (FACTOR) test rig. To do so, a hole modeled LES using the cooling model is compared to a hole meshed LES. Results show that both simulations yield very similar results confirming the capability of the approach to predict the adiabatic film effectiveness. Advanced post-processing and analyses of the coolant mass fraction profiles show that the turbulent mixing between the coolant and hot flows is however reduced with the model. This finding is confirmed by the turbulent map levels which are lower in the modeled approach. Potential improvements are hence proposed to increase the accuracy of such methods.}, keywords = {Large-eddy simulation, Turbomachinery, Film cooling, Modelling}}

@ARTICLE{AR-PA-19-194, author = {Mycek, P. and De Lozzo, M. }, title = {Multilevel Monte Carlo Covariance Estimation for the Computation of Sobol' Indices }, year = {2019}, number = {4}, volume = {7}, pages = {1323–1348}, issn = {2166-2525}, doi = {10.1137/18M1216389}, journal = {SIAM/ASA Journal on Uncertainty Quantification}, keywords = {Monte Carlo, multilevel Monte Carlo, parameter estimation, uncertainty quantification, sensitivity analysis, Sobol' indices}, pdf = {https://doi.org/10.1137/18M1216389}, url = {https://epubs.siam.org/doi/pdf/10.1137/18M1216389}}

@ARTICLE{AR-PA-19-195, author = {Bauer, M. and Silva, G. and Ruede, U. }, title = {Letter to the Editor: Truncation errors of the D3Q19 lattice model for the lattice Boltzmann method}, year = {2019}, doi = {10.1016/j.jcp.2019.109111}, journal = {Journal of Computational Physics}, pdf = {https://www.sciencedirect.com/science/article/pii/S0021999119308162#!}}