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150 changes: 150 additions & 0 deletions joss.05565/10.21105.joss.05565.crossref.xml
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248 changes: 248 additions & 0 deletions joss.05565/10.21105.joss.05565.jats
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<p>The Synthetic Eddy Method (SEM) is a numerical simulation technique
used to create a turbulent flow field with desired features. It is
used in computational fluid dynamics for imposing realistic inlet
boundary conditions, improving the fidelity of the results obtained by
simulations. Its ability to create fluctuations with prescribed
physical features makes it a valuable tool for researchers and
engineers seeking to improve the reliability of simulations and also
for re-creating as much as possible an environment close to an
experimental one. The package allows users to easily generate
synthetic turbulence fields that can be used in CFD simulations, and
to control the level of turbulence and length-scales of the eddies in
the generated fields.</p>
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<p><monospace>SyntheticEddyMethod.jl</monospace> is a package which
aims to create realistic turbulent inlet conditions for Large Eddy
Simulations. This package will be a valuable tool for researchers and
engineers working in the field of Computational Fluid Dynamics,
offering an intuitive and efficient way to simulate proper boundary
conditions. The fluctuations generated are more realistic than those
that can be easily produced by a random signal.</p>
<p>The method has been originally introduced by Jarrin et al.
(<xref alt="2006" rid="ref-JarrinU003A2006" ref-type="bibr">2006</xref>).
It is based on the idea of eddies randomly created inside a virtual
box, where no dissipative effects occur. These are convected at every
time-step. Each eddy influences its surroundings based on its
dimension and the chosen kernel (or shape) function. It has been
extended by Poletto et al.
(<xref alt="2013" rid="ref-PolettoU003A2013" ref-type="bibr">2013</xref>),
implementing the divergence-free (DFSEM) constraint to obtain
fluctuations for incompressible flows, which are the most common cases
studied for turbulence.</p>
<p><monospace>SyntheticEddyMethod.jl</monospace> is completely
implemented in the Julia programming language
(<xref alt="Bezanson et al., 2017" rid="ref-BezansonU003A2017" ref-type="bibr">Bezanson
et al., 2017</xref>). In recent years, Julia has emerged as a powerful
language for scientific computing and has become popular among
researchers and practitioners in the field of fluid dynamics. Julia is
extremely expressive and allows one to condense complex mathematical
expressions into a few syntactic lines. The functions are written
almost identically as on paper. This also has an advantage for people
who desire to contribute and use it. By taking advantage of the
flexibility of Julia’s multiple dispatch, it allows users to simulate
fluctuations at specific points in the flow field or at multiple
points simultaneously, offering a powerful optimized tool. Users can
customize several key parameters of the SEM method, such as the
turbulence intensity, Reynolds stress, and eddy dimensions. These
parameters can be set by the user directly, or loaded from a file,
making the package versatile and user-friendly.</p>
<p>Different software packages have been developed to implement this
method (for example, using Fortran, Oh et al.
(<xref alt="2019" rid="ref-OHU003A2019" ref-type="bibr">2019</xref>)).
However, these packages are often limited in their applicability and
can be challenging for non-experts to use.
<monospace>SyntheticEddyMethod.jl</monospace> is designed to be more
general-purpose, allowing it to be applied to a broader range of
turbulence simulation problems. It is designed to be more accessible
and with clear documentation.</p>
<sec id="results">
<title>Results</title>
<fig>
<caption><p>Spectra examples at different Turbulent Intensities
using tent function as shape function. It refers to the
fluctuations in time in one specific point.</p></caption>
<graphic mimetype="image" mime-subtype="png" xlink:href="media/images/docs/Spectra.png" />
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<caption><p>Normalized divergence in a plane using the
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</sec>
</sec>
<sec id="package-features">
<title>Package Features</title>
<list list-type="bullet">
<list-item>
<p>Create velocity fluctuations for inlet boundary conditions</p>
</list-item>
<list-item>
<p>Create fluctuations that respect the divergence-free condition
(DFSEM)</p>
</list-item>
<list-item>
<p>Create coherent eddies in a 3D domain</p>
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<list-item>
<p>It can simulate anisotropic effects by allowing the eddies to
have different dimensions along different directions</p>
</list-item>
<list-item>
<p>Define a custom Reynolds Stress Tensor</p>
</list-item>
<list-item>
<p>Import custom Reynolds Stress Tensor</p>
</list-item>
</list>
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<ref id="ref-BezansonU003A2017">
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<name><surname>Bezanson</surname><given-names>Jeff</given-names></name>
<name><surname>Edelman</surname><given-names>Alan</given-names></name>
<name><surname>Karpinski</surname><given-names>Stefan</given-names></name>
<name><surname>Shah</surname><given-names>Viral B</given-names></name>
</person-group>
<article-title>Julia: A fresh approach to numerical computing</article-title>
<source>SIAM review</source>
<publisher-name>SIAM</publisher-name>
<year iso-8601-date="2017">2017</year>
<volume>59</volume>
<issue>1</issue>
<pub-id pub-id-type="doi">10.1137/141000671</pub-id>
<fpage>65</fpage>
<lpage>98</lpage>
</element-citation>
</ref>
<ref id="ref-JarrinU003A2006">
<element-citation publication-type="article-journal">
<person-group person-group-type="author">
<name><surname>Jarrin</surname><given-names>N.</given-names></name>
<name><surname>Benhamadouche</surname><given-names>S.</given-names></name>
<name><surname>Laurence</surname><given-names>D.</given-names></name>
<name><surname>Prosser</surname><given-names>R.</given-names></name>
</person-group>
<article-title>A synthetic-eddy-method for generating inflow conditions for large-eddy simulations</article-title>
<source>International Journal of Heat and Fluid Flow</source>
<year iso-8601-date="2006-08">2006</year><month>08</month>
<volume>27</volume>
<pub-id pub-id-type="doi">10.1016/j.ijheatfluidflow.2006.02.006</pub-id>
<fpage>585</fpage>
<lpage>593</lpage>
</element-citation>
</ref>
<ref id="ref-PolettoU003A2013">
<element-citation publication-type="paper-conference">
<person-group person-group-type="author">
<name><surname>Poletto</surname><given-names>R.</given-names></name>
<name><surname>Craft</surname><given-names>T.</given-names></name>
<name><surname>Revell</surname><given-names>A.</given-names></name>
</person-group>
<article-title>A new divergence free synthetic eddy method for the reproduction of inlet flow conditions for les</article-title>
<source>Flow, Turbulence and Combustion</source>
<year iso-8601-date="2013-10">2013</year><month>10</month>
<volume>91</volume>
<pub-id pub-id-type="doi">10.1007/s10494-013-9488-2</pub-id>
<fpage>519</fpage>
<lpage>539</lpage>
</element-citation>
</ref>
<ref id="ref-OHU003A2019">
<element-citation publication-type="article-journal">
<person-group person-group-type="author">
<name><surname>Oh</surname><given-names>Geunwoo</given-names></name>
<name><surname>Noh</surname><given-names>Kyung Min</given-names></name>
<name><surname>Park</surname><given-names>Hyunwook</given-names></name>
<name><surname>Choi</surname><given-names>Jung-Il</given-names></name>
</person-group>
<article-title>Extended synthetic eddy method to generate inflow data for turbulent thermal boundary layer</article-title>
<source>International Journal of Heat and Mass Transfer</source>
<year iso-8601-date="2019">2019</year>
<volume>134</volume>
<issn>0017-9310</issn>
<uri>https://www.sciencedirect.com/science/article/pii/S0017931018332289</uri>
<pub-id pub-id-type="doi">10.1016/j.ijheatmasstransfer.2019.02.061</pub-id>
<fpage>1261</fpage>
<lpage>1267</lpage>
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