A hybrid version of the symmetric interior penalty (HSIP) method is considered for linear elasticity problems for nearly incompressible materials. When the 1 conforming finite element method is applied to such problem...
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We present a perturbed formulation of the BDDC method where the invertibility of the global coarse matrix is automatically guaranteed and positive direct solvers can be used without corner constraints or a change of b...
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BDDC (Balancing Domain Decomposition by Constraints) and FETI-DP (Dual-Primal Finite Element Tearing and Interconnecting) algorithms with adaptively enriched coarse spaces are developed and analyzed for second order e...
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The simulation of the behavior of heterogeneous and composite materials poses a number of challenges to numerical methods e.g. due to the presence of discontinuous material coefficients. Moreover, the material propert...
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ISBN:
(数字)9783319519548
ISBN:
(纸本)9783319519548;9783319519531
The simulation of the behavior of heterogeneous and composite materials poses a number of challenges to numerical methods e.g. due to the presence of discontinuous material coefficients. Moreover, the material properties of fibers and inclusions are significantly different from those of the surrounding matrix. Thus, the gradients of the solution feature a substantial discontinuity at the material interface between inclusions and matrix. Hence, materials with many fine scale inclusions need a very high resolution mesh in the context of traditional finite element (FE) analysis. However, many approaches within the context of numerical homogenization have been proposed to tackle and overcome this need for a large number of degrees of freedom. To this end, either discontinuous coefficients are replaced by smooth effective coefficients or, standard FE shape functions are replaced by more complex, numerically computed shape functions while the overall quality of the approximation is retained. In this paper we study two-dimensional examples of heat transfer and (linear) elasticity in composite materials using a number of different homogenization approaches with the overall goal of evaluating and comparing their performance when used for the construction of multiscale enrichment functions for a partition of unity method (PUM).
The goal is to show how to treat singular matrices via kernel detection so that any robust direct sparse solver for non-singular matrices may be used. This technique applied in the Hybrid total FETI method enables us ...
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This article deals with Poisson Equations with Dirichlet boundary conditions. A new approach based on least squares support vector machines (LS-SVM) is proposed for obtaining their approximate solutions. The approxima...
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ISBN:
(数字)9783319672021
ISBN:
(纸本)9783319672021;9783319672014
This article deals with Poisson Equations with Dirichlet boundary conditions. A new approach based on least squares support vector machines (LS-SVM) is proposed for obtaining their approximate solutions. The approximate solution is presented in closed form by means of LS-SVM, whose parameters are adjusted to minimize an appropriate error function. The approximate solutions consist of two parts. The first part is a known function that satisfies boundary conditions. The other is two terms product. One term is known function which is zero on boundary, another term is unknown which is related to kernel functions. This method has been successfully tested on rectangle and disc domain and has yielded higher accuracy solutions.
For symmetric systems, rigorous convergence bounds can be obtained which depend only on the eigenvalues of the system. However for nonsymmetric systems, no generally descriptive convergence bounds are known and theref...
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This book is a collection of papers presented at the 23rd International Conference on Domain Decomposition Methods in science and engineering, held on Jeju Island, Korea on July 6-10, 2015. Domain decomposition method...
ISBN:
(数字)9783319523897
ISBN:
(纸本)9783319523880
This book is a collection of papers presented at the 23rd International Conference on Domain Decomposition Methods in science and engineering, held on Jeju Island, Korea on July 6-10, 2015. Domain decomposition methods solve boundary value problems by splitting them into smaller boundary value problems on subdomains and iterating to coordinate the solution between adjacent subdomains. Domain decomposition methods have considerable potential for a parallelization of the finite element methods, and serve a basis for distributed, parallel computations.
The paper is dedicated to an experimental evaluation of some coarse grid techniques in the context of additive Schwarz method and Krylov subspace methods. Some theoretical aspects are considered and a few modification...
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The reservoir simulation of the complex reservoirs with anisotropic permeability, which includes faults and non-orthogonal grids, with a fully discontinuous permeability tensor in the discretization is a major challen...
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ISBN:
(数字)9783319519548
ISBN:
(纸本)9783319519548;9783319519531
The reservoir simulation of the complex reservoirs with anisotropic permeability, which includes faults and non-orthogonal grids, with a fully discontinuous permeability tensor in the discretization is a major challenge. Several methods have already been developed and implemented within industry standard reservoir simulators for non-orthogonal grids (e.g., Multi-Point Flux Approximation (MPFA) "O" method). However, it has been noticed that some of the numerical methods for elliptic/parabolic equations may violate the maximum principle (i.e., lead to spurious oscillations), especially when the anisotropy is particularly strong. It has been found that the oscillations are closely related to the poor approximation of the pressure gradient in the flux computation. Therefore, proposed methods must correctly approximate underlying operators, satisfy a discrete maximum principle and have coercivity properties. Furthermore, the method must be robust and efficient. This paper presents the meshless multi-point flux approximation of second order elliptic operators containing a tensor coefficient. The method is based on a pressure gradient approximation commonly used in meshless methods (or Smoothed Particle Hydrodynamics method-SPH method). The proposed discretization schemes can be written as a sum of sparse positive semidefinite matrix and perturbation matrix. We show that convergence rates are retained as for finite difference methods O(h(alpha));1 <= alpha <= 2, where h denotes the maximum particle spacing. The results are presented, discussed and future studies are outlined.
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