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An Augmented IB Method & Analysis for Elliptic BVP on Irregular Domains

Zhilin Li1,∗, Baiying Dong2, Fenghua Tong3, Weilong Wang3

1 CRSC & Department of Mathematics, North Carolina State University, Raleigh, NC 27695-8205, USA.
2 School of Mathematics and Statistics, Ningxia University, Yinchuan, 750021, China.
3 College of Mathematics and System Sciences, Xinjiang University, Urumqi, 830046, China.
* Corresponding Author: Zhilin Li. Email: zhilin@math.ncsu.edu.

(This article belongs to the Special Issue: Recent Developments of Immersed Methods for Fluid-structure Interactions)

Computer Modeling in Engineering & Sciences 2019, 119(1), 63-72. https://doi.org/10.32604/cmes.2019.04635

Abstract

The immersed boundary method is well-known, popular, and has had vast areas of applications due to its simplicity and robustness even though it is only first order accurate near the interface. In this paper, an immersed boundary-augmented method has been developed for linear elliptic boundary value problems on arbitrary domains (exterior or interior) with a Dirichlet boundary condition. The new method inherits the simplicity, robustness, and first order convergence of the IB method but also provides asymptotic first order convergence of partial derivatives. Numerical examples are provided to confirm the analysis.

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APA Style
Li, Z., Dong, B., Tong, F., Wang, W. (2019). An augmented IB method & analysis for elliptic BVP on irregular domains. Computer Modeling in Engineering & Sciences, 119(1), 63-72. https://doi.org/10.32604/cmes.2019.04635
Vancouver Style
Li Z, Dong B, Tong F, Wang W. An augmented IB method & analysis for elliptic BVP on irregular domains. Comput Model Eng Sci. 2019;119(1):63-72 https://doi.org/10.32604/cmes.2019.04635
IEEE Style
Z. Li, B. Dong, F. Tong, and W. Wang, “An Augmented IB Method & Analysis for Elliptic BVP on Irregular Domains,” Comput. Model. Eng. Sci., vol. 119, no. 1, pp. 63-72, 2019. https://doi.org/10.32604/cmes.2019.04635



cc Copyright © 2019 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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