Application of Cost Function Method for Combining Measured Data and CFD to Unsteady Flow Field

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  • 測定値とＣＦＤの融合のための費用関数法の非定常流れ場への適用
  • ソクテイチ ト CFD ノ ユウゴウ ノ タメ ノ ヒヨウ カンスウホウ ノ ヒテイジョウ ナガレバ エ ノ テキヨウ

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Abstract

In order to reduce measurement errors and fill missing data points, we have already proposed the cost function method (CFM) in which governing equations are applied to the correction and interpolation of measured data. In this paper, in order to study the applicability to the unsteady flow fields, we compare the properties of CFM with those of the four-dimensional data assimilation (FDDA), which is a method that is conventionally applied to unsteady flow fields in the field of numerical weather prediction. It was found that CFM produces a more suitable solution that does FDDA, according to our evaluation criteria. Then we applied PIV to a Karman vortex flow behind a plate and applied CFM to the data obtained. Furthermore, we examined the effect of the number of measured data points on the CFM results. It was found that the CFM is effective in correcting errors in the data, and also in filling missing data points smoothly both spatially and temporally. It is difficult to model a complicated flow field correctly using PIV or CFD separately. However, we can conclude from the results of this study that for the estimation of flow fields, CFM may be an effective technique also for unsteady flow.

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