Jikun Zhao
Zhengzhou University
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Publication
Featured researches published by Jikun Zhao.
Mathematical Models and Methods in Applied Sciences | 2016
Jikun Zhao; Shaochun Chen; Bei Zhang
We develop the nonconforming virtual element method for linear plate bending problems. A class of nonconforming virtual elements is constructed, which is C0-continuous. Like the classical nonconforming plate elements, it relaxes the continuity requirement for the function space to some extent. Further, the virtual element is constructed for any order of accuracy and adapts to complicate element geometries. We present a general framework on the error analysis for the nonconforming virtual element method, highlighting the main difference with the conforming one.
Applied Mathematics and Computation | 2015
Shaochun Chen; Yan-ping Sun; Jikun Zhao
In this paper, we construct two simplest conforming rectangular elements for the linear elasticity problem under the Hellinger-Reissner variational principle. One is a rectangular element in 2D with only 8 degrees of freedom for the stress and 2 degrees of freedom for the displacement. Another one is a cubic element in 3D with only 18?+?3 degrees of freedom. We prove that the two elements are stable and anisotropic convergent. Numerical test is presented to illustrate the element is stable and effective.
Applied Mathematics and Computation | 2015
Jikun Zhao; Shaochun Chen; Bei Zhang; Shipeng Mao
A posteriori error estimation is carried out within a unified framework for various conforming and nonconforming finite element methods for convection-diffusion problems. Our main contribution is finding an appropriate norm to measure the error, which incorporates a discrete energy norm, a discrete dual semi-norm of the convective derivative and jumps of the approximate solution over element faces (edges in two dimensions). The error estimator is shown to be robust with respect to the Peclet number in the sense of the modified norm. Based on a general error decomposition, we show that the key ingredient of error estimation is the estimation on the consistency error related to the particular numerical scheme, and the remaining terms can be bounded in a unified way. The numerical results are presented to illustrate the robustness and practical performance of the estimator in an adaptive refinement strategy.
Applied Mathematics and Computation | 2014
Bei Zhang; Shaochun Chen; Jikun Zhao
Abstract Based on conservative flux reconstruction, we derive a posteriori error estimates for the nonconforming finite element approximations to a singularly perturbed reaction–diffusion problem on anisotropic meshes, since the solution exhibits boundary or interior layers and this anisotropy is reflected in a discretization by using anisotropic meshes. Without the assumption that the meshes are shape-regular, our estimates give the upper bounds on the error only containing the alignment measure factor, and therefore, could provide actual numerical bounds if the alignment measure was approximated very well. Two resulting error estimators are presented to be equivalent to each other up to a data oscillation, one of which can be directly constructed without solving local Neumann problems and provide computable error bound. Numerical experiments confirm that our estimates are reliable and efficient as long as the singularly perturbed problem is discretized by a suitable mesh which leads to a small alignment measure.
Journal of Scientific Computing | 2018
Jikun Zhao; Bei Zhang; Shaochun Chen; Shipeng Mao
We propose a simple nonconforming virtual element for plate bending problems, which has few local degrees of freedom and provides the optimal convergence in
Journal of Scientific Computing | 2017
Shaochun Chen; Li-na Dong; Jikun Zhao
Journal of Computational and Applied Mathematics | 2017
Bei Zhang; Shaochun Chen; Jikun Zhao; Shipeng Mao
H^2
Journal of Scientific Computing | 2015
Jikun Zhao; Shaochun Chen; Bei Zhang; Shipeng Mao
Calcolo | 2015
Jikun Zhao; Shaochun Chen; Bei Zhang
H2-norm. Moreover, we prove the optimal error estimates in
Calcolo | 2018
Bei Zhang; Jikun Zhao; Shaochun Chen; Yongqin Yang