MOSS: multiple orthogonal strand system

Haimes, Robert

doi:10.1007/s00366-014-0375-9

Cited by 7 publications

(3 citation statements)

References 12 publications

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“…Advancing front. Some methods (e.g., [Alauzet and Marcum 2014;Cuillière et al 2013;Frey et al 1996;Haimes 2015]) start from a given front (the boundary surface) and propagate meshes inwards. While seemingly achieving good element quality near the boundary, these methods suffer from problematic cases when fronts meet in the interior of the volume, making the generation of high-quality elements in these places challenging.…”

Section: Non-delaunay Tetrahedral Meshingmentioning

confidence: 99%

Correction to: The Years of Alienation in Italy

Diazzi

Tarabochia

2019

The Years of Alienation in Italy

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The book was inadvertently published with the given name and family name of the author differently abbreviated in all the chapters as A. S. Tarabochia; whereas it has been updated as A. Sforza Tarabochia. In addition to this, the title of Chapter 11 has been updated from Mental Social, and Visual Alienation in D'Alessandro's Photography to Mental, Social, and Visual Alienation in D'Alessandro's Photography.

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Section: Non-delaunay Tetrahedral Meshingmentioning

confidence: 99%

Correction to: The Years of Alienation in Italy

Diazzi

Tarabochia

2019

The Years of Alienation in Italy

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“…Generation of strand meshes have been explored in detail by Haimes. 13 Figure 1(b) shows an example of strand-Cartesian grid system near the nose of a fuselage. Strand near-body meshes combined with Cartesian off-body grids not only has the potential for automatic viscous mesh generation and adaptation but can also provide other advantages.…”

Section: Introductionmentioning

confidence: 99%

Application of Strand Grid Framework to Complex Rotorcraft Simulations

Lakshminarayan

Sitaraman

Wissink

2016

34th AIAA Applied Aerodynamics Conference

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The strand grid approach is a flow solution method where a prismatic-like grid using "strands" is grown to a short distance from the body surface to capture the viscous boundary layer and the rest of the domain is covered using an adaptive Cartesian grid. The approach offers several advantages in terms of nearly automatic grid generation and adaptation, ability to implement fast and efficient flow solvers that use structured data in both the strand and Cartesian grids, and the development of an efficient and highly scalable domain connectivity algorithm. An earlier work by the authors introduced a strand grid solver called mStrand, which will appear in future versions of the HPCMP CREATE TM -AV Helios framework. This paper presents application of mStrand/Helios strand grid framework for complex rotorcraft problems. The test cases presented are the UH-60A high speed forward flight and high altitude stall problems as well as the HART II blade-vortex interaction problem. The results show that the solution obtained using the strand grid framework is as good as that obtained using well-established structured and unstructured solution methodologies.

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“…During the aerodynamic simulation of high Reynolds number flow, it essential to adopt layered anisotropic prisms perpendicular to the object to capture the boundary layer near the viscous wall. Most researches are mainly devoted to advancing front methods [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] and a few approaches focus on solving the partial differential equation (PDE) [14,12,13,15,16,17,18,19,20,21,22,23]. Recently, the prismatic hybrid mesh is a prevailing grid type for constructing the external flow field because of its good performance in the balance of precision and efficiency [24,3,4,25,26,14,27].…”

Section: Introductionmentioning

confidence: 99%

Prismatic mesh generation based on anisotropic volume harmonic field

Zhu

Wang

Zheng

et al. 2021

Preprint

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In this paper, we present an effective prismatic mesh generation method for viscous flow simulations. To address the prismatic mesh collisions in recessed cavities or slit areas, we exploit 3D tensors controlled anisotropic volume harmonic field to generate prismatic meshes. Specially, a well-fitting tetrahedral mesh is first constructed to serve as the discrete computation domain of volume harmonic fields. Then, 3D tensors are exploited to control the volume harmonic field that better fits the shape geometry. From the topological perspective, the generation of the prismatic mesh can be treated as a topology-preserved morphing of the viscous wall. Therefore, iso-surfaces in the volume harmonic field should be homeomorphic to the viscous wall while fitting its shapes. Finally, a full prismatic mesh can be induced by estimating the forward directions and visible regions in the volume harmonic field. Moreover, to be compatible with different simulation situations, the thickness of prismatic meshes should be variable. Our approach provides local adjustable thickness of prismatic meshes, which can be achieved by controlling local 3D tensors. The proposed anisotropic volume harmonic field based prismatic meshes are efficient and robust, and a full prismatic mesh can be guaranteed without low quality collisions. Various experiments have shown that our proposed prismatic meshes have obvious advantages in terms of efficiency and effectiveness.

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MOSS: multiple orthogonal strand system

Cited by 7 publications

References 12 publications

Correction to: The Years of Alienation in Italy

Correction to: The Years of Alienation in Italy

Application of Strand Grid Framework to Complex Rotorcraft Simulations

Prismatic mesh generation based on anisotropic volume harmonic field

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