Abstract
In recent years, various methods which attempt to reduce measurement errors and supplement data to data omission points by applying governing equations have been proposed. In this paper, we classify these methods according to the types of observations and equations used.Subsequently, we propose GCFM (Generalized Cost Function Method) which reflects the observation data of velocity, temperature and mass concentration to the mutual estimation of each field by using the cost function defined by the summation of the residuals of governing equations and data corrections.Finally we execute a numerical experiment for 2-dimentional steady non-isothermal flow field which contains pollutant emission sources to verify the effectiveness of GCFM, and we can confirm that our method is effective in the grasping of the flow fields.
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