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Nearly singular integrals in 3D stokes flow

Publication ,  Journal Article
Tlupova, S; Beale, JT
Published in: Communications in Computational Physics
2013

A straightforward method is presented for computing three-dimensional Stokes flow, due to forces on a surface, with high accuracy at points near the surface. The flowquantities arewritten as boundary integrals using the free-spaceGreen's function. To evaluate the integrals near the boundary, the singular kernels are regularized and a simple quadrature is applied in coordinate charts. High order accuracy is obtained by adding special corrections for the regularization and discretization errors, derived here using local asymptotic analysis. Numerical tests demonstrate the uniform convergence rates of the method. © 2013 Global-Science Press.

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Published In

Communications in Computational Physics

DOI

ISSN

1815-2406

Publication Date

2013

Volume

14

Issue

5

Start / End Page

1207 / 1227

Related Subject Headings

  • Applied Mathematics
 

Citation

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Tlupova, S., & Beale, J. T. (2013). Nearly singular integrals in 3D stokes flow. Communications in Computational Physics, 14(5), 1207–1227. https://doi.org/10.4208/cicp.020812.080213a
Tlupova, S., and J. T. Beale. “Nearly singular integrals in 3D stokes flow.” Communications in Computational Physics 14, no. 5 (2013): 1207–27. https://doi.org/10.4208/cicp.020812.080213a.
Tlupova S, Beale JT. Nearly singular integrals in 3D stokes flow. Communications in Computational Physics. 2013;14(5):1207–27.
Tlupova, S., and J. T. Beale. “Nearly singular integrals in 3D stokes flow.” Communications in Computational Physics, vol. 14, no. 5, 2013, pp. 1207–27. Scival, doi:10.4208/cicp.020812.080213a.
Tlupova S, Beale JT. Nearly singular integrals in 3D stokes flow. Communications in Computational Physics. 2013;14(5):1207–1227.
Journal cover image

Published In

Communications in Computational Physics

DOI

ISSN

1815-2406

Publication Date

2013

Volume

14

Issue

5

Start / End Page

1207 / 1227

Related Subject Headings

  • Applied Mathematics