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Published September 2021 | Version v1
Journal article

A one-sided direct forcing immersed boundary method using moving least squares

  • 1. Riken Center for Computational Sciences (Japan)
  • 2. Department of Mechanical Engineering, San Diego State University, San Diego, CA, United States of America (United States)
  • 3. Departments of Mathematics, Applied Physical Sciences, and Biomedical Engineering, University of North Carolina, Chapel Hill, NC, United States of America (United States)
  • 4. Graduate School of System Informatics, Kobe University, Kobe (Japan)

Description

Highlights: • One-sided IB kernels using the moving least squares (MLS) approach are presented. • Segregation of the Eulerian domain on the two sides of the interface is achieved. • Spurious feedback forcing and internal flows in the IB simulations are reduced. • The relationship between MLS and traditional IB kernels is examined. • The one-sided MLS method is tested on complex 3D geometries like the Ahmed car model. This paper presents a one-sided immersed boundary (IB) method using kernel functions constructed via a moving least squares (MLS) method. The resulting kernels effectively couple structural degrees of freedom to fluid variables on only one side of the fluid-structure interface. This reduces spurious feedback forcing and internal flows that are typically observed in IB models that use isotropic kernel functions to couple the structure to fluid degrees of freedom on both sides of the interface. The method developed here extends the original MLS methodology introduced by Vanella and Balaras (2009) [27]. Prior IB/MLS methods have used isotropic kernel functions that coupled fluid variables on both sides of the boundary to the interfacial degrees of freedom. The original IB/MLS approach converts the cubic spline weights typically employed in MLS reconstruction into an IB kernel function that satisfies particular discrete moment conditions. This paper shows that the same approach can be used to construct one-sided kernel functions (kernel functions are referred to as generating functions in the MLS literature). We also examine the performance of the new approach for a family of kernel functions introduced by Peskin. It is demonstrated that the one-sided MLS construction tends to generate non-monotone interpolation kernels with large over- and undershoots. We present two simple weight shifting strategies to construct generating functions that are positive and monotone, which enhances the stability of the resulting IB methodology. Benchmark cases are used to test the order of accuracy and verify the one-sided IB/MLS simulations in both two and three spatial dimensions. This new IB/MLS method is also used to simulate flow over the Ahmed car model, which highlights the applicability of this methodology for modeling complex engineering flows.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jcp.2021.110359

Additional details

Identifiers

DOI
10.1016/j.jcp.2021.110359;
PII
S0021999121002540;

Publishing Information

Journal Title
Journal of Computational Physics (Print)
Journal Volume
440
Journal Page Range
vp.
ISSN
0021-9991
CODEN
JCTPAH

Optional Information

Copyright
Copyright (c) 2021 The Author(s). Published by Elsevier Inc.