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Adaptive Multigrid FE Methods -- An optimal way to solve PDEs Zhiming Chen Institute of Computational Mathematics Chinese Academy of Sciences Beijing 100080
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Adaptive Concept Refine: more nodes around singularities Coarsen: less nodes in smooth region
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An “optimal mesh” is the mesh on which the error is approximately the same on each element. This motivates the error equi-distribution strategy. The adaptive FEM based on a posteriori error estimates provides a systematic way to refine or coarsen the mesh according to the local a posteriori error estimators on each element. The adaptive method finds the solution of given tolerance on a self-generated mesh according to the properties of the solution (singularities,oscillations).
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A Linear Elliptic Problem Elliptic problem with piecewise constant coefficients: Variational problem:
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Discrete Problem: find such that A priori error estimate:
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A posteriori error estimate (Babuska & Miller, 1987) The error indicator where
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Theorem (Verfürth, 1992): We have where
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Adaptive Algorithm Solve → Estimate → Refine/Coarsen Error equi-distribution strategy where tolerance, constant, number of elements in
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Numerical Experiments where and Exact solution (Kellogg)
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The exact solution for
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FEM with uniform mesh 128x128 mesh: 512x512 mesh: 1024x1024 mesh: A priori error analysis implies that one must introduce nodes in each space direction to bring the energy error under 0.1. Convergence rate:
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The surface plot of the relative error The maximum of the relative error is 0.2368.
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The adaptive mesh of 2673 nodes. The energy error is 0.07451.
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The surface plot of the adaptive solution and the relative error. The maximum of the relative error is0.0188.
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Definition Let be the sequence of FE solutions generated by the adaptive algorithm. The meshes and the associated numerical complexity are called quasi- optimal if are valid asymptotically. DOFs(k) is the number of degree of freedoms of the mesh.
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Quasi-optimality of the estimators. The quasi-optimal decay is indicated by the dotted line of slope –1/2.
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Gauss-Seidel Iteration Method
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5-point finite difference scheme
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Multigrid V-cycle Algorithm
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Adaptive Multigrid Method ◆ Local relaxation: Gauss-Seidel relaxation performed only on new nodes and their immediate neighboring nodes ◆ Each multigrid iteration requires only O(N) number of operations ◆ Theorem (Wu and Chen): We have ◆ Numerical ExampleNumerical Example
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Applications Continuous casting problem Chen, Nochetto and Schmidt (2000) Wave scattering by periodic structure Chen and Haijun Wu (2002) Convection diffusion problem Chen and Guanghua Ji (2003)
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Continuous Casting problem Continuous Casting problem
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例子:振荡铸钢速度系数 变化铸钢速度 : 速度 v(t), 单元个数, 时间步长
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t=0.05 和 t=0.07 时的网格和温度。
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周期结构上电磁波的散射问题
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A Linear Convection Diffusion Problem Rotating Cylinder problem:
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Convergence Rate Epsilon=10e-3Epsilon=10e-5
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Thank you !
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