Publication

Time-scale joint representation of DNS and LES numerical data

Michel Deville, Emmanuel Leriche
2011
Conference Papers

Abstract

A spectral analysis and a multiscale study are performed on the numerical data obtained from direct numerical simulation and large-eddy simulation of the turbulent flow in a cubical lid-driven cavity. The analyzed data or signals are picked at three specific points inside the cavity allowing to investigate three drastically different flow regimes over time: laminar, transitional and turbulent. In comparison with direct numerical simulation, large-eddy simulation not only have a reduced resolution in space but also in time. In this context a wavelet analysis is chosen to study signals from large-eddy simulation, to provide a 'local' analysis of transient turbulent events. A time-scale joint representation is generated by continuous wavelet transform and compared with the time-scale joint representation of the direct numerical simulation. In this framework, the main objective of this study is to confirm the correlation between the computed physical quantities and those expected theoretically. (C) 2010 Elsevier Ltd. All rights reserved.

Official source

https://infoscience.epfl.ch/entities/publication/66007030-02c6-42c5-a572-f2f149bc41ba

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Michel Deville, Emmanuel Leriche
2011
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/66007030-02c6-42c5-a572-f2f149bc41ba

About this result

Related concepts (32)

Wavelet

A wavelet is a wave-like oscillation with an amplitude that begins at zero, increases or decreases, and then returns to zero one or more times. Wavelets are termed a "brief oscillation". A taxonomy of wavelets has been established, based on the number and direction of its pulses. Wavelets are imbued with specific properties that make them useful for signal processing. For example, a wavelet could be created to have a frequency of Middle C and a short duration of roughly one tenth of a second.

Wavelet transform

In mathematics, a wavelet series is a representation of a square-integrable (real- or complex-valued) function by a certain orthonormal series generated by a wavelet. This article provides a formal, mathematical definition of an orthonormal wavelet and of the integral wavelet transform. A function is called an orthonormal wavelet if it can be used to define a Hilbert basis, that is a complete orthonormal system, for the Hilbert space of square integrable functions.

Turbulence

In fluid dynamics, turbulence or turbulent flow is fluid motion characterized by chaotic changes in pressure and flow velocity. It is in contrast to a laminar flow, which occurs when a fluid flows in parallel layers, with no disruption between those layers. Turbulence is commonly observed in everyday phenomena such as surf, fast flowing rivers, billowing storm clouds, or smoke from a chimney, and most fluid flows occurring in nature or created in engineering applications are turbulent.

Related publications (32)

Time-scale joint representation of DNS and LES numerical data

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Data structure and information