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Generation of Synthetic Turbulence in Arbitrary Domains Lasse Gilling and Søren R. K. Nielsen Department of Civil Engineering, Aalborg University, Denmark Niels N. Sørensen National Laboratory for Sustainable Energy, Risø-DTU, Denmark lg@civil.aau.dk
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Generation of Synthetic Turbulence in Arbitrary Domains – Outline Motivation Description of the method Comparison with the Mann and Sandia methods Examples Conclusions 2
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Motivation Turbulent inflow condition for CFD simulation of a rotating section of a wind turbine blade Mann and Sandia methods cannot be used due to computer memory requirement A large saving is obtained by only generating the needed part of the velocity field 3
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Method for Generating the Turbulence Introduce cross- covariance tensor Collect correlation information for all points Fourier transform and factorization Introduce random phases and amplitudes and FFT 4 Connell (1982): R a (r) and R l (r) given by von Karman (1948) They are also denoted f(r) and g(r)
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Method for Generating the Turbulence Introduce cross- covariance tensor Collect correlation information for all points Fourier transform and factorization Introduce random phases and amplitudes and FFT 5
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Method for Generating the Turbulence Introduce cross- covariance tensor Collect correlation information for all points Fourier transform and factorization Introduce random phases and amplitudes and FFT 6 Next, S(f) is factored by an eigenvalue decomposition: K(t) is Fourier transformed:
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Method for Generating the Turbulence Introduce cross- covariance tensor Collect correlation information for all points Fourier transform and factorization Introduce random phases and amplitudes and FFT 7 H(f) contains spectral information dW(f) contains random amplitudes and phases
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Comparison with the Mann and Sandia Methods Sandia method: Can be modified to generate incom- pressible turbulence Uses 1D FFT Points can be clustered in rotor plane Number of entries Mann method: Generates incompressible turbulence Uses 3D FFT Points are required to be placed equidistant in a 3D Cartesian grid Number of entries 8 Present method: Generates incompressible turbulence Uses 1D FFT Points can be placed freely and move in time Number of entries N t : Number of time steps, N,M: Number of points in rotor plane, M >> N
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Example 1 9 Generate turbulence along a single rotating blade
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Example 2 Generate turbulence as in the figure 8×8 points in a 1×1m 2 area (in the rotorplane) 512 time steps Diameter: 80 m Required RAM: 72MB Generate the same field with Mann: 4.3GB 10
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Conclusions Proposed method can generate synthetic turbulence Correct spatial correlation Correct spectra Incompressible field Lower memory requirement allows finer resolution in rotor area and time 11
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Generation of Synthetic Turbulence in Arbitrary Domains Lasse Gilling and Søren R. K. Nielsen Department of Civil Engineering, Aalborg University, Denmark Niels N. Sørensen National Laboratory for Sustainable Energy, Risø-DTU, Denmark lg@civil.aau.dk
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