2020
DOI: 10.1002/fld.4912
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Finite transformation rigid motion mesh morpher; A grid deformation approach

Abstract: Summary In any shape optimization framework and specifically in the context of computational fluid dynamics, a robust and reliable grid deformation tool is necessary to undertake the adaptation of the computational mesh to the updated boundaries at each optimization cycle. Grid deformation has its share of challenges, namely, to maintain high mesh quality (avoid distorted elements and tangles) even when dealing with extreme deformations. In this work a novel grid deformation algorithm, the finite transformatio… Show more

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Cited by 1 publication
(4 citation statements)
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“…The finite transformation rigid motion mesh morpher (FT‐R3M) 44,45 has been proven capable of undergoing extreme deformations, whilst ensuring a good resulting grid quality. FT‐R3M is a minimization‐based grid displacement technique, in which the target is to minimize an objective function related to the deformation energy between the initial and the final mesh.…”
Section: Prerequisite For the Proposed Parameterization Toolmentioning
confidence: 99%
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“…The finite transformation rigid motion mesh morpher (FT‐R3M) 44,45 has been proven capable of undergoing extreme deformations, whilst ensuring a good resulting grid quality. FT‐R3M is a minimization‐based grid displacement technique, in which the target is to minimize an objective function related to the deformation energy between the initial and the final mesh.…”
Section: Prerequisite For the Proposed Parameterization Toolmentioning
confidence: 99%
“…FT‐R3M is a minimization‐based grid displacement technique, in which the target is to minimize an objective function related to the deformation energy between the initial and the final mesh. The FT‐R3M is an in‐house grid displacement tool of ESI group developed in References 44,45. FT‐R3M is a mesh‐less method and tool which gracefully propagates the movement of the boundaries (surface changes) to the internal nodes of the volume mesh.…”
Section: Prerequisite For the Proposed Parameterization Toolmentioning
confidence: 99%
See 2 more Smart Citations