Wind and Structures

  • 제33권1호
  • /
  • Pages.13-27
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  • 2021
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  • 1226-6116(pISSN)
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  • 1598-6225(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

POD-based analysis of time-resolved tornado-like vortices

  • Wang, Mengen (College of Civil Engineering, Tongji University) ;
  • Cao, Shuyang (College of Civil Engineering, Tongji University) ;
  • Cao, Jinxin (College of Civil Engineering, Tongji University)
  • 투고 : 2021.01.20
  • 심사 : 2021.06.28
  • 발행 : 2021.07.25
⟨ 이전 논문 다음 논문 ⟩

초록

In this study, three representative configurations of tornado-like vortices, i.e., single vortex, vortex breakdown and multi-vortex, are numerically simulated using large-eddy simulation (LES). Proper orthogonal decomposition (POD) is firstly employed to decompose flow-field snapshots into a series of orthogonal flow patterns (POD modes) and time-dependent coefficients. Then, a conditional-average analysis is conducted to obtain the four kinds of conditionally-averaged flow fields, which are then compared with instantaneous and ensemble-averaged flow fields. Next, a quadruple POD analysis is performed to decompose the instantaneous flow field into mean, coherent, transition and noise components. Finally, a qualitative analysis is implemented for unsteady vortex motions in horizontal and vertical planes. Results show that the conditional average shows larger-scale coherent structures than the classical ensemble average, while it loses the small-scale turbulent fluctuations present in instantaneous flow. The tornado vortex structure is controlled by the mean component in the single-vortex stage. With increase in swirl ratio, the tornado vortex evolves from single-vortex, to vortex-breakdown to multi-vortex, companied by kinetic energy transference to coherent and transition components. The horizontal and vertical vortex motions are essentially the results of horizontal and vertical velocity perturbations.

키워드

과제정보

This research was co-funded in part by the National Natural Science Foundation of China (NSFC) Grant NO. 52078382, 51878503, 51878504, 51720105005 and State Key Laboratory of Disaster Reduction in Civil Engineering Grant NO. SLDRCE19-A-01.

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