Impact of source terms on reliability of CFD algorithms

Source terms often appear in various fluid dynamic problems. These source terms not only have an important impact on the physics of the flow but they can also impact the reliability of CFD algorithms. A general recommendation is to treat negative values (sinks) implicitly, while positive values (sou...

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Published inComputers & fluids Vol. 39; no. 10; pp. 1909 - 1922
Main Authors Lian, Chenzhou, Xia, Guoping, Merkle, Charles L.
Format Journal Article
LanguageEnglish
Published Kidlington Elsevier Ltd 01.12.2010
Elsevier
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ISSN0045-7930
1879-0747
DOI10.1016/j.compfluid.2010.06.021

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Abstract Source terms often appear in various fluid dynamic problems. These source terms not only have an important impact on the physics of the flow but they can also impact the reliability of CFD algorithms. A general recommendation is to treat negative values (sinks) implicitly, while positive values (sources) should be evaluated explicitly. Although this provides improvements compared with evaluating all terms in the same manner, sources with positive values, in particular, often cause code reliability issues. The present paper addresses the reasons for these difficulties and combines a new source term evaluation method with time step limitation for convection and diffusion terms to give more robust capability. The method is verified by a combination of stability analyses followed by computational experiments to validate the stability findings in meaningful problems. The source Jacobian arising from a two-equation k– ω turbulence model is taken as an example to demonstrate our findings.
AbstractList Source terms often appear in various fluid dynamic problems. These source terms not only have an important impact on the physics of the flow but they can also impact the reliability of CFD algorithms. A general recommendation is to treat negative values (sinks) implicitly, while positive values (sources) should be evaluated explicitly. Although this provides improvements compared with evaluating all terms in the same manner, sources with positive values, in particular, often cause code reliability issues. The present paper addresses the reasons for these difficulties and combines a new source term evaluation method with time step limitation for convection and diffusion terms to give more robust capability. The method is verified by a combination of stability analyses followed by computational experiments to validate the stability findings in meaningful problems. The source Jacobian arising from a two-equation k-[Omega] turbulence model is taken as an example to demonstrate our findings.
Source terms often appear in various fluid dynamic problems. These source terms not only have an important impact on the physics of the flow but they can also impact the reliability of CFD algorithms. A general recommendation is to treat negative values (sinks) implicitly, while positive values (sources) should be evaluated explicitly. Although this provides improvements compared with evaluating all terms in the same manner, sources with positive values, in particular, often cause code reliability issues. The present paper addresses the reasons for these difficulties and combines a new source term evaluation method with time step limitation for convection and diffusion terms to give more robust capability. The method is verified by a combination of stability analyses followed by computational experiments to validate the stability findings in meaningful problems. The source Jacobian arising from a two-equation k– ω turbulence model is taken as an example to demonstrate our findings.
Author Merkle, Charles L.
Lian, Chenzhou
Xia, Guoping
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Issue 10
Keywords Computational fluid dynamics
Sink
Reliability
Source
Source terms
Algorithms
Turbulent flow
Pipe flow
Digital simulation
Convergent nozzle
Modelling
Numerical convergence
Turbulence structure
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Snippet Source terms often appear in various fluid dynamic problems. These source terms not only have an important impact on the physics of the flow but they can also...
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SubjectTerms Algorithms
Computational fluid dynamics
Computational methods in fluid dynamics
Convection
Diffusion
Exact sciences and technology
Flows in ducts, channels, nozzles, and conduits
Fluid dynamics
Fluid flow
Fundamental areas of phenomenology (including applications)
Jacobians
Mathematical models
Physics
Reliability
Sink
Source
Turbulence
Turbulence simulation and modeling
Turbulent flows, convection, and heat transfer
Title Impact of source terms on reliability of CFD algorithms
URI https://dx.doi.org/10.1016/j.compfluid.2010.06.021
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