ENH: added references to topology optimisation headers
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@ -29,7 +29,32 @@ Class
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Description
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Signed distance field design variables for level-set based topology
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optimization.
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optimization (topO).
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A great reference for various aspects of level-set-based topO can be found
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in
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Reference:
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\verbatim
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van Dijk, N.P., Maute, K., Langelaar, M., & & van Keulen, F. (2013).
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Level-set methods for structural topology optimization: a review.
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Structural and Multidisciplinary Optimization, 48, 437–472.
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https://doi.org/10.1007/s00158-013-0912-y
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\endverbatim
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The implemented approach borrows from the references therein, but does not
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follow any of them exactly. The underlaying field of the design variables
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is not the level-set field but affects the latter through:
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a) a regularisation approach similar to that used in porosity-based topO
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(see the regularisation class and references therein) and
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b) a re-initialisation strategy. Since solving a modified Hamilton-Jacobi
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equation poses a number of numerical challenges, the signed distance field
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is obtained by identifying the zero level-set contour using the
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cutFaceIso, cutCellIso infrastucture (see references therein for the
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methodology) and using these "cut-faces" as seeds for meshWave.
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SourceFiles
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levelSetDesignVariables.C
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\*---------------------------------------------------------------------------*/
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@ -37,6 +37,15 @@ Description
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- 2D: area of the inlet patches divided by the span in the empty direction
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- 3D: the hydraulic diameter of the inlet patches
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Reference:
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\verbatim
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Olesen, L. H., Okkels, F., & Bruus H. (2006).
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A high-level programming-language implementation of topology
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optimization applied to steady-state Navier–Stokes flow.
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International Journal for Numerical Methods in Engineering,
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65(7), 975-1001.
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https://doi.org/10.1002/nme.1468
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\endverbatim
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SourceFiles
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betaMaxDarcy.C
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@ -33,6 +33,18 @@ Description
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optimisation to regularise the designed geometries and obtain 'grid
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independent' solutions.
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Reference:
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\verbatim
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Largely follows the PDE-based smoothing of
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Lazarov, B. S., & Sigmund O. (2010).
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Filters in topology optimization based on Helmholtz-type
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differential equations.
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International Journal for Numerical Methods in Engineering,
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86(6), 765-781.
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https://doi.org/10.1002/nme.3072
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\endverbatim
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SourceFiles
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fieldRegularisation.C
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@ -82,7 +82,7 @@ void Foam::Helmholtz::solveEqn
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zeroGradientFvPatchScalarField::typeName
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)
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);
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// If solution corresponds to the topology density field, modify boundary
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// If solution corresponds to the topology porosity field, modify boundary
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// conditions accordingly
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if (isTopoField && growFromWalls_)
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{
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@ -29,7 +29,27 @@ Class
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Foam::topODesignVariables
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Description
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Design variables for density-based topology optimisation (topO) problems
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Design variables for porosity-based topology optimisation (topO) problems
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Reference:
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\verbatim
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The main idea behind porosity-based topO can be found in
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Papoutsis-Kiachagias, E. M., & Giannakoglou, K. C. (2014).
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Continuous Adjoint Methods for Turbulent Flows, Applied to Shape
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and Topology Optimization: Industrial Applications.
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Archives of Computational Methods in Engineering, 23(2), 255-299.
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http://doi.org/10.1007/s11831-014-9141-9
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with regularisation and projection approaches following
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Lazarov, B. S., & Sigmund O. (2010).
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Filters in topology optimization based on Helmholtz-type
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differential equations.
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International Journal for Numerical Methods in Engineering,
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86(6), 765-781.
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https://doi.org/10.1002/nme.3072
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\endverbatim
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SourceFiles
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topODesignVariables.C
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@ -205,7 +205,7 @@ public:
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// The interface is computed as an isoValue contour of the indicator
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// field
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// - 0 distance contour for levelSet or
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// - 0.5 beta contour for density-based topO.
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// - 0.5 beta contour for porosity-based topO.
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// For levelSet topO, the process of identitying the contour sets also
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// the seeds for computing the distance field in the entire domain
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void writeFluidSolidInterface
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