Po-Wen Hsieh
National Central University
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Featured researches published by Po-Wen Hsieh.
Journal of Computational Physics | 2009
Po-Wen Hsieh; Suh-Yuh Yang
In this paper we devise a stabilized least-squares finite element method using the residual-free bubbles for solving the governing equations of steady magnetohydrodynamic duct flow. We convert the original system of second-order partial differential equations into a first-order system formulation by introducing two additional variables. Then the least-squares finite element method using C^0 linear elements enriched with the residual-free bubble functions for all unknowns is applied to obtain approximations to the first-order system. The most advantageous features of this approach are that the resulting linear system is symmetric and positive definite, and it is capable of resolving high gradients near the layer regions without refining the mesh. Thus, this approach is possible to obtain approximations consistent with the physical configuration of the problem even for high values of the Hartmann number. Before incoorperating the bubble functions into the global problem, we apply the Galerkin least-squares method to approximate the bubble functions that are exact solutions of the corresponding local problems on elements. Therefore, we indeed introduce a two-level finite element method consisting of a mesh for discretization and a submesh for approximating the computations of the residual-free bubble functions. Numerical results confirming theoretical findings are presented for several examples including the Shercliff problem.
SIAM Journal on Scientific Computing | 2010
Po-Wen Hsieh; Suh-Yuh Yang
In this paper we devise a novel least-squares finite element method (LSFEM) for solving scalar convection-dominated convection-diffusion problems. First, we convert a second-order convection-diffusion problem into a first-order system formulation by introducing the gradient
Journal of Scientific Computing | 2015
Po-Wen Hsieh; Ming-Chih Lai; Suh-Yuh Yang; Cheng-Shu You
\mathbf{p}:=-\kappa\nabla u
Numerical Functional Analysis and Optimization | 2009
Mei-Chun Chen; Po-Wen Hsieh; Chun-Ting Li; Yun-Tsz Wang; Suh-Yuh Yang
as an additional variable. The LSFEM using continuous piecewise linear elements enriched with residual-free bubbles for both variables
Signal Processing | 2017
Po-Wen Hsieh; Pei-Chiang Shao; Suh-Yuh Yang
u
Computer Methods in Applied Mechanics and Engineering | 2009
Po-Wen Hsieh; Suh-Yuh Yang
and
Communications in Computational Physics | 2011
Po-Wen Hsieh; Yin-Tzer Shih; Suh-Yuh Yang
\mathbf{p}
Journal of Computational Physics | 2010
Po-Wen Hsieh; Suh-Yuh Yang
is applied to solve the first-order mixed problem. The residual-free bubble functions are assumed to strongly satisfy the associated homogeneous second-order convection-diffusion equations in the interior of each element, up to the contribution of the linear part, and vanish on the element boundary. To implement this two-level least-squares approach, a stabilized method of Galerkin/least-squares type is used to approximate the residual-free bubble functions. This enriched LSFEM not only inherits the advantages of the primitive LSFEM, such as the resulting linear system being symmetric and positive definite, but also exhibits the characteristics of the residual-free bubble method without involving stability parameters. Several numerical experiments are given to demonstrate the effectiveness of the proposed enriched LSFEM. The accuracy and computational cost of this enriched LSFEM are also compared with those of the primitive LSFEM. We find that for a small diffusivity
Computer Methods in Applied Mechanics and Engineering | 2012
Huo-Yuan Duan; Po-Wen Hsieh; Roger C. E. Tan; Suh-Yuh Yang
\kappa
Computer Methods in Applied Mechanics and Engineering | 2016
Po-Wen Hsieh; Suh-Yuh Yang
, the enriched LSFEM is much better able to capture the nature of layer structure in the solution than the primitive LSFEM, even if the primitive LSFEM uses a very fine mesh or higher-order elements. In other words, the enriched LSFEM provides a significant improvement, with a lower computational cost, over the primitive LSFEM for solving convection-dominated problems.