Generation of turbulent inﬂow data from realistic approximations of the covariance tensor

Generation of turbulent inﬂow data from realistic approximations of the covariance tensor

This study presents a novel synthetic inflow generator capable of producing a random field matching a realistic set of two-point statistics with minimal input. The method is based on two main elements. The first element is a procedure to infer realistic two-point covariance tensors from readily avai...

書目詳細資料
Main Authors:	Hao, M, Hope-Collins, J, di Mare, L
格式:	Journal article
語言:	English
出版:	AIP Publishing 2022

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