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Signals (stream of data) obtained from physical or numerical
experiments often require additional processing to understand/interpret the
physics they represent. The processing of signals through digital means is termed
Digital Signal Processing (DSP). Signals might be available in a multiplicity
of domains (time, frequency, spatial…) and dimensions (1D, 2D…). One of the
most common analyses in engineering applications involves processing time
domain signals (filtering, smoothing…) and transforming to frequency domain.
This note discusses some signal processing capabilities available in CFD-VIEW
for time history data.
The general procedure involves 1) supplying time history
data to CFD-VIEW, 2) plotting/choosing variable(s) of interest and 3) applying
DSP functions.
Time history data can be made available to CFD-VIEW in multiple
ways. Some options are:
- Using
Record Point History in CFD-VIEW
(typically from DTF files of a transient run)
- Through
PAMFLOW Time History Data
- Import *.MON File directly into CFD-VIEW (plan in advance to setup monitor points in CFD-ACE-GUI before starting a run)
Figure 1. Providing time history data to CFD-VIEW and available DSP operations
The DSP operation window is active once time history data has been plotted (with time as the independent variable). Available DSP operations can
be seen by clicking the add (“+”) button. For Fast Fourier Transform (FFT)
operations, the signal is re-sampled by linear interpolation to provide the
nearest 2n number of points. Users also have the option to zero pad
the signal to the nearest 2n number of points. The Power Spectral
Density (PSD) describes how the power of a signal is distributed within the
frequencies of the spectrum and expressed in (physical units)2 / Hz.
The PSD can be normalized and expressed in dB through the use of a suitable
reference value. For example, the commonly used reference value for acoustic
pressure is 2e-5 Pa.
Other time domain operations are also available to filter a signal, calculate
derivatives/integrals, smooth and perform auto-correlation of a signal.
A simple example is provided in the Figure 2 to
demonstrate PSD operation on a periodic signal. The signal is a sum of two
waves (a sine wave of 7Hz and a cosine wave of 14 Hz) sampled at 100 Hz for
10.24 seconds providing a total of 1024 points.
Figure 2. Example showing PSD applied on a periodic signal sampled at uniform time interval
Regards,
Abraham Meganathan
ESI CFD Support Team
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