Proper Orthogonal Decomposition vs. Fourier Analysis for Extraction of Large-Scale Structures of Thermal Convection

被引:0
作者
Paul, Supriyo [1 ]
Verma, Mahendra K. [2 ]
机构
[1] Ctr Dev Adv Comp Pune, Computat Fluid Dynam Team, Pune 411007, Maharashtra, India
[2] IIT Kanpur, Dept Phys, Kanpur 208016, Uttar Pradesh, India
来源
ADVANCES IN COMPUTATION, MODELING AND CONTROL OF TRANSITIONAL AND TURBULENT FLOWS | 2016年
关键词
Proper Orthogonal Decomposition; Fourier Analysis; Convection;
D O I
暂无
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
We performed a comparative study of extraction of large-scale flow structures in Rayleigh Benard convection using proper orthogonal decomposition (POD) and Fourier analysis. We show that the free-slip basis functions capture the flow profiles successfully for the no-slip boundary conditions. We observe that the large-scale POD modes capture a larger fraction of total energy than the Fourier modes. However, the Fourier modes capture the rarer flow structures like flow reversals better. The flow profiles of the dominant POD and Fourier modes are quite similar. Our results show that the Fourier analysis provides an attractive alternative to POD analysis for capturing large-scale flow structures.
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页码:433 / 441
页数:9
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