Data assimilation applied to combustion

作者：Rochoux Melanie C^*; Cuenot Benedicte; Ricci Sophie; Trouve Arnaud; Delmotte Blaise; Massart Sebastien; Paoli Roberto; Paugam Ronan

来源：Comptes Rendus Mecanique, 2013, 341(1-2): 266-276.

DOI：10.1016/j.crme.2012.10.011

• Combustion
• Data assimilation
• Fire propagation

Data assimilation is a sophisticated technique, yet not available in combustion, that combines measurements to model simulation and account for uncertainties in order to improve the numerical prediction of a system. In the context of gas turbines, data assimilation may be used for example to improve the prediction of flame ignition and propagation by a smart analysis of images and measurements. A first illustration of data assimilation is given in a simple case, where synthetic time-evolving positions of the flame front are assimilated to calibrate parameters of a premixed flame model. Its successful application in the context of natural fire propagation assesses the predictive capacity of the technique and the resulting higher fidelity in the data-driven simulations.

• 出版日期2013-1