Data reconstruction at surface in immersed-boundary methods

S, Anand Bharadwaj; Ghosh, Santanu

doi:10.1016/j.compfluid.2019.104236

Cited by 13 publications

(5 citation statements)

References 32 publications

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“…In this example, points inside the car geometry need to be removed. This is done by computing a signed distance function (only the sign is important here [20]) using a fast marching method [178].…”

Section: Random Point Generationmentioning

confidence: 99%

Point Cloud Generation for Meshfree Methods: An Overview

Suchde

Jacquemin

Davydov

2022

Arch Computat Methods Eng

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Meshfree methods are becoming an increasingly popular alternative to mesh-based methods of numerical simulation. The biggest stated advantage of meshfree methods is the avoidance of generating a mesh on the computational domain. However, even today a surprisingly large amount of meshfree literature ironically uses the nodes of a mesh as the point set that discretizes the domain. On the other hand, already existing efficient meshfree methods to generate point clouds are apparently not very well known among meshfree communities, which has led to recent work redeveloping existing algorithms. In this paper, we present a brief overview of point cloud generation methods for domains and surfaces and discuss their features and challenges, in particular in the context of applicability to industry-relevant complex geometries.

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Section: Random Point Generationmentioning

confidence: 99%

Point Cloud Generation for Meshfree Methods: An Overview

Suchde

Jacquemin

Davydov

2022

Arch Computat Methods Eng

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“…To get the surface quantity for each surface point (i.e., IB point), an interpolation from data of surrounding solution points is needed. Here, the interpolation method described in [4] is used. This method is based on the inverse distance between the IB point and the interpolation point selected from several nearest solution points.…”

Section: Implementation Details For Ibmmentioning

confidence: 99%

“…This method is based on the inverse distance between the IB point and the interpolation point selected from several nearest solution points. In particular, the Inverse Distance Weight at Interpolation Point (IDW-IP) method [4] is used for interpolation in the present study.…”

Section: Implementation Details For Ibmmentioning

confidence: 99%

High-Order Flux Reconstruction Based on Immersed Boundary Method

Kou¹,

Joshi²,

Hurtado-de-Mendoza³

et al. 2021

14th WCCM-ECCOMAS Congress

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In the last decade, high-order methods for Computational Fluid Dynamics (CFD) are becoming attractive for unsteady scale-resolving-simulations in industrial CFD applications, due to their advantages of low numerical dissipation, high efficiency on modern architectures and quasi mesh-independence. However, the generation of body-fitted mesh for high-order methods is still a significant bottleneck and often determines the overall quality of the solution. To avoid the complexity of mesh generation, the present work combines the numerical advantages of the high-order Flux Reconstruction (FR) method and the simplicity of the mesh generation based on Immersed Boundary Method (IBM) that allows solving flow past obstacles on a non body-fitted mesh. The volume penalization method is selected for its ease of implementation and robustness. The proposed method is validated by several test cases, including flow past a cylinder and NACA0012 airfoil for static and moving boundaries. Good agreement with body-fitted simulation is reported.

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“…the computation of the velocity imposed by the IB in our case) or the contrary (reconstruction of stress on the envelope of an airfoil to compute aerodynamic forces for instance [44]). In this paper, we focus more specifically on interpolation techniques, widely used in all kind of fictitious domain methods [40,43,[45][46][47]. Those techniques, aside from involving polynomials or spline functions, can rather be directional (1D) [40] or spatial (multi-D) [43].…”

Section: Introductionmentioning

confidence: 99%