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@ARTICLE{AR-CMGC-21-22, author = {Pannekoucke, O. and Ménard, R. and El Aabaribaoune, M. and Plu, M. }, title = {A methodology to obtain model-error covariances due to the discretization scheme from the parametric Kalman filter perspective}, year = {2021}, number = {1}, volume = {28}, pages = {1-22}, doi = {10.5194/npg-28-1-2021}, journal = {Nonlinear Processes in Geophysics}, pdf = {https://cerfacs.fr/wp-content/uploads/2021/01/GlobC-Article-Panneckouke-npg-28-1-2021.pdf}}

@ARTICLE{AR-CFD-21-8, author = {Grimonprez, S. and Wu, J. and Faccinetto, A. and Gosselin, S. and Riber, E. and Cuenot, B. and Cazaunau, M. and Pangui, E. and Formenti, P. and Doussin, J.-F. and Petitprez, D. and Desgroux, P. }, title = {Hydrophilic properties of soot particles exposed to OH radical: a possible new mechanism involved in the contrail formation}, year = {2021}, volume = {38}, doi = {10.1016/j.proci.2020.06.306}, journal = {Proceedings of the Combustion Institute}, url = {https://www.sciencedirect.com/science/article/abs/pii/S1540748920303989}}

@ARTICLE{AR-CMGC-21-27, author = {Walker, A.P. and Johnson, A.L. and Rogers, A. and Anderson, J. and Bridges, R.A. and Fisher, R.A. and Lu, D. and Ricciuto, D.M. and Serbin, S.P. and Ye, M. }, title = {Multi‐hypothesis comparison of Farquhar and Collatz photosynthesis models reveals the unexpected influence of empirical assumptions at leaf and global scales}, year = {2021}, number = {4}, volume = {27}, pages = {804-822}, doi = {10.1111/gcb.15366}, journal = {Global Change Biology}, pdf = {https://cerfacs.fr/wp-content/uploads/2021/02/GLOBC_Fisher_et_al_GBC_Multi-hypothesis_comparison_of_Farquhar_2021.pdf}}

@ARTICLE{AR-CFD-21-11, author = {Esclapez, L. and Collin-Bastiani, F. and Riber, E. and Cuenot, B. }, title = {A statistical model to predict ignition probability}, year = {2021}, number = {March}, volume = {225}, pages = {180-195}, issn = {0010-2180}, doi = {10.1016/j.combustflame.2020.10.051}, journal = {Combustion and Flame}, abstract = {Ignition capability is a critical design constraint for aeronautical gas turbines. However the current trend toward overall lean burn is detrimental to the engine ignition and relight and the ignition system must be adapted to ensure a fast and reliable light-round in all circumstances. As ignition is a stochastic phenomenon, the optimization of an ignition system requires to build ignition probability maps, which is difficult and costly with either experiment or numerical simulation as both require many tests. This work proposes a model to predict the ignition probability map, knowing only flow statistics in non-reacting conditions, i.e., with only one test. The originality of the model is to construct statistics of the flame kernel trajectory, which are then combined with local flow indicators to evaluate the ignition probability at the considered sparking location. Application to a swirled burner operated in premixed, non-premixed and spray combustion modes illustrates the model concepts and demonstrates its ability to recover the experimental ignition map with good accuracy.}, keywords = {Ignition probability, Gas turbine, Turbulent combustion}, url = {https://www.sciencedirect.com/science/article/abs/pii/S0010218020304715}}

@ARTICLE{AR-CFD-21-9, author = {Collin-Bastiani, F. and Riber, E. and Cuenot, B. }, title = {Study of inter-sector spray flame propagation in a linear arrangement of swirled burners}, year = {2021}, volume = {38}, doi = {10.1016/j.proci.2020.05.050}, journal = {Proceedings of the Combustion Institute}, abstract = {Driven by pollutant emissions stringent regulations, engine manufacturers rely on lean combustion and aim to reduce the number of injectors, both affecting the light-round phase of ignition. This work focuses on inter-injector spray flame propagation in a linear multi-injector n-heptane/air spray burner measured at CORIA. Large Eddy Simulation are performed together with a complex chemistry description and a Lagrangian formalism of the spray in order to account for fuel droplet polydispersion. First, a non-reacting case enables to evaluate the numerical approach by comparison with measurements, and to analyse the influence of inter-injector spacing on both the flow dynamics and the local fuel distribution. Second, the comparison of numerical fully transient ignition sequences with experimental data shows that LES recovers the inter-injector spray propagation features found in the experiment such as flame propagation modes from radial to progressively arc-like, and total ignition time delay. However due to important pre-evaporation, liquid fuel does not significantly impact the overall ignition process, which exhibits the same driving mechanisms as in purely gaseous flows.}, keywords = {Ignition, Turbulent Spray Flame, Polydispersion, Linear combustor, Large Eddy Simulation}, url = {https://www.sciencedirect.com/science/article/abs/pii/S1540748920300985}}