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Coupling Finite and Boundary Element Methods for Static and Dynamic
Comput. Methods Appl. Mech. Engrg. 198 (2008) 449–458 Contents lists available at ScienceDirect Comput. Methods Appl. Mech. Engrg. journal homepage: www.elsevier.com/locate/cma Coupling finite and boundary element methods for static and dynamic elastic problems with non-conforming interfaces Thomas Rüberg a, Martin Schanz b,* a Graz University of Technology, Institute for Structural Analysis, Graz, Austria b Graz University of Technology, Institute of Applied Mechanics, Technikerstr. 4, 8010 Graz, Austria article info abstract Article history: A coupling algorithm is presented, which allows for the flexible use of finite and boundary element meth- Received 1 February 2008 ods as local discretization methods. On the subdomain level, Dirichlet-to-Neumann maps are realized by Received in revised form 4 August 2008 means of each discretization method. Such maps are common for the treatment of static problems and Accepted 26 August 2008 are here transferred to dynamic problems. This is realized based on the similarity of the structure of Available online 5 September 2008 the systems of equations obtained after discretization in space and time. The global set of equations is then established by incorporating the interface conditions in a weighted sense by means of Lagrange Keywords: multipliers. Therefore, the interface continuity condition is relaxed and the interface meshes can be FEM–BEM coupling non-conforming. The field of application are problems from elastostatics and elastodynamics. Linear elastodynamics Ó Non-conforming interfaces 2008 Elsevier B.V. All rights reserved. FETI/BETI 1. Introduction main, this approach is often carried out only once for every time step which gives a staggering scheme. -
Finite Difference Methods for Solving Differential
FINITE DIFFERENCE METHODS FOR SOLVING DIFFERENTIAL EQUATIONS I-Liang Chern Department of Mathematics National Taiwan University May 16, 2013 2 Contents 1 Introduction 3 1.1 Finite Difference Approximation . ........ 3 1.2 Basic Numerical Methods for Ordinary Differential Equations ........... 5 1.3 Runge-Kuttamethods..... ..... ...... ..... ...... ... ... 8 1.4 Multistepmethods ................................ 10 1.5 Linear difference equation . ...... 14 1.6 Stabilityanalysis ............................... 17 1.6.1 ZeroStability................................. 18 2 Finite Difference Methods for Linear Parabolic Equations 23 2.1 Finite Difference Methods for the Heat Equation . ........... 23 2.1.1 Some discretization methods . 23 2.1.2 Stability and Convergence for the Forward Euler method.......... 25 2.2 L2 Stability – von Neumann Analysis . 26 2.3 Energymethod .................................... 28 2.4 Stability Analysis for Montone Operators– Entropy Estimates ........... 29 2.5 Entropy estimate for backward Euler method . ......... 30 2.6 ExistenceTheory ................................. 32 2.6.1 Existence via forward Euler method . ..... 32 2.6.2 A Sharper Energy Estimate for backward Euler method . ......... 33 2.7 Relaxationoferrors.............................. 34 2.8 BoundaryConditions ..... ..... ...... ..... ...... ... 36 2.8.1 Dirichlet boundary condition . ..... 36 2.8.2 Neumann boundary condition . 37 2.9 The discrete Laplacian and its inversion . .......... 38 2.9.1 Dirichlet boundary condition . ..... 38 3 Finite Difference Methods for Linear elliptic Equations 41 3.1 Discrete Laplacian in two dimensions . ........ 41 3.1.1 Discretization methods . 41 3.1.2 The 9-point discrete Laplacian . ..... 42 3.2 Stability of the discrete Laplacian . ......... 43 3 4 CONTENTS 3.2.1 Fouriermethod ................................ 43 3.2.2 Energymethod ................................ 44 4 Finite Difference Theory For Linear Hyperbolic Equations 47 4.1 A review of smooth theory of linear hyperbolic equations ............. -
Preprint, 1703.10016, 2017
ASC Report No. 20/2018 Optimal additive Schwarz preconditioning for adaptive 2D IGA boundary element methods T. Fuhrer,¨ G. Gantner, D. Praetorius, and S. Schimanko Institute for Analysis and Scientific Computing Vienna University of Technology | TU Wien www.asc.tuwien.ac.at ISBN 978-3-902627-00-1 Most recent ASC Reports 19/2018 A. Arnold, C. Klein, and B. Ujvari WKB-method for the 1D Schr¨odinger equation in the semi-classical limit: enhanced phase treatment 18/2018 A. Bespalov, T. Betcke, A. Haberl, and D. Praetorius Adaptive BEM with optimal convergence rates for the Helmholtz equation 17/2018 C. Erath and D. Praetorius Optimal adaptivity for the SUPG finite element method 16/2018 M. Fallahpour, S. McKee, and E.B. Weinm¨uller Numerical simulation of flow in smectic liquid crystals 15/2018 A. Bespalov, D. Praetorius, L. Rocchi, and M. Ruggeri Goal-oriented error estimation and adaptivity for elliptic PDEs with parametric or uncertain inputs 14/2018 J. Burkotova, I. Rachunkova, S. Stanek, E.B. Weinm¨uller, S. Wurm On nonsingular BVPs with nonsmooth data. Part 1: Analytical results 13/2018 J. Gambi, M.L. Garcia del Pino, J. Mosser, and E.B. Weinm¨uller Post-Newtonian equations for free-space laser communications between space- based systems 12/2018 T. F¨uhrer, A. Haberl, D. Praetorius, and S. Schimanko Adaptive BEM with inexact PCG solver yields almost optimal computational costs 11/2018 X. Chen and A. J¨ungel Weak-strong uniqueness of renormalized solutions to reaction-cross-diffusion systems 10/2018 C. Erath, G. Gantner, and D. Praetorius Optimal convergence behavior of adaptive FEM driven by simple (h-h/2)-type error estimators Institute for Analysis and Scientific Computing Vienna University of Technology Wiedner Hauptstraße 8{10 1040 Wien, Austria E-Mail: [email protected] WWW: http://www.asc.tuwien.ac.at FAX: +43-1-58801-10196 ISBN 978-3-902627-00-1 c Alle Rechte vorbehalten. -
A Parallel Preconditioner for a FETI-DP Method for the Crouzeix-Raviart finite Element
A parallel preconditioner for a FETI-DP method for the Crouzeix-Raviart finite element Leszek Marcinkowski∗1 Talal Rahman2 1 Introduction In this paper, we present a Neumann-Dirichlet type parallel preconditioner for a FETI-DP method for the nonconforming Crouzeix-Raviart (CR) finite element dis- cretization of a model second order elliptic problem. The proposed method is almost optimal, in fact, the condition number of the preconditioned problem grows poly- logarithmically with respect to the mesh parameters of the local triangulations. In many scientific applications, where partial differential equations are used to model, the Crouzeix-Raviart (CR) finite element has been one of the most com- monly used nonconforming finite element for the numerical solution. This includes applications like the Poisson equation (cf. [11, 23]), the Darcy-Stokes problem (cf. [8]), the elasticity problem (cf. [3]). We also would like to add that there is a close relationship between mixed finite elements and the nonconforming finite element for the second order elliptic problem; cf. [1, 2]. The CR element has also been used in the framework of finite volume element method; cf. [9]. There exists quite a number of works focusing on iterative methods for the CR finite element for second order problems; cf. [4, 5, 10, 13, 16, 18, 19, 20, 21, 22] and references therein. The purpose of this paper is to propose a parallel algorithm based on a Neumann-Dirichlet preconditioner for a FETI-DP formulation of the CR finite element method for the second order elliptic problem. To our knowledge, this is apparently the first work on such preconditioner for the FETI-DP method for the Crouzeix-Raviart (CR) finite element. -
Exercises from Finite Difference Methods for Ordinary and Partial
Exercises from Finite Difference Methods for Ordinary and Partial Differential Equations by Randall J. LeVeque SIAM, Philadelphia, 2007 http://www.amath.washington.edu/ rjl/fdmbook ∼ Under construction | more to appear. Contents Chapter 1 4 Exercise 1.1 (derivation of finite difference formula) . 4 Exercise 1.2 (use of fdstencil) . 4 Chapter 2 5 Exercise 2.1 (inverse matrix and Green's functions) . 5 Exercise 2.2 (Green's function with Neumann boundary conditions) . 5 Exercise 2.3 (solvability condition for Neumann problem) . 5 Exercise 2.4 (boundary conditions in bvp codes) . 5 Exercise 2.5 (accuracy on nonuniform grids) . 6 Exercise 2.6 (ill-posed boundary value problem) . 6 Exercise 2.7 (nonlinear pendulum) . 7 Chapter 3 8 Exercise 3.1 (code for Poisson problem) . 8 Exercise 3.2 (9-point Laplacian) . 8 Chapter 4 9 Exercise 4.1 (Convergence of SOR) . 9 Exercise 4.2 (Forward vs. backward Gauss-Seidel) . 9 Chapter 5 11 Exercise 5.1 (Uniqueness for an ODE) . 11 Exercise 5.2 (Lipschitz constant for an ODE) . 11 Exercise 5.3 (Lipschitz constant for a system of ODEs) . 11 Exercise 5.4 (Duhamel's principle) . 11 Exercise 5.5 (matrix exponential form of solution) . 11 Exercise 5.6 (matrix exponential form of solution) . 12 Exercise 5.7 (matrix exponential for a defective matrix) . 12 Exercise 5.8 (Use of ode113 and ode45) . 12 Exercise 5.9 (truncation errors) . 13 Exercise 5.10 (Derivation of Adams-Moulton) . 13 Exercise 5.11 (Characteristic polynomials) . 14 Exercise 5.12 (predictor-corrector methods) . 14 Exercise 5.13 (Order of accuracy of Runge-Kutta methods) . -
Coupling of the Finite Volume Element Method and the Boundary Element Method – an a Priori Convergence Result
COUPLING OF THE FINITE VOLUME ELEMENT METHOD AND THE BOUNDARY ELEMENT METHOD – AN A PRIORI CONVERGENCE RESULT CHRISTOPH ERATH∗ Abstract. The coupling of the finite volume element method and the boundary element method is an interesting approach to simulate a coupled system of a diffusion convection reaction process in an interior domain and a diffusion process in the corresponding unbounded exterior domain. This discrete system maintains naturally local conservation and a possible weighted upwind scheme guarantees the stability of the discrete system also for convection dominated problems. We show existence and uniqueness of the continuous system with appropriate transmission conditions on the coupling boundary, provide a convergence and an a priori analysis in an energy (semi-) norm, and an existence and an uniqueness result for the discrete system. All results are also valid for the upwind version. Numerical experiments show that our coupling is an efficient method for the numerical treatment of transmission problems, which can be also convection dominated. Key words. finite volume element method, boundary element method, coupling, existence and uniqueness, convergence, a priori estimate 1. Introduction. The transport of a concentration in a fluid or the heat propa- gation in an interior domain often follows a diffusion convection reaction process. The influence of such a system to the corresponding unbounded exterior domain can be described by a homogeneous diffusion process. Such a coupled system is usually solved by a numerical scheme and therefore, a method which ensures local conservation and stability with respect to the convection term is preferable. In the literature one can find various discretization schemes to solve similar prob- lems. -
Newton-Krylov-BDDC Solvers for Nonlinear Cardiac Mechanics
Newton-Krylov-BDDC solvers for nonlinear cardiac mechanics Item Type Article Authors Pavarino, L.F.; Scacchi, S.; Zampini, Stefano Citation Newton-Krylov-BDDC solvers for nonlinear cardiac mechanics 2015 Computer Methods in Applied Mechanics and Engineering Eprint version Post-print DOI 10.1016/j.cma.2015.07.009 Publisher Elsevier BV Journal Computer Methods in Applied Mechanics and Engineering Rights NOTICE: this is the author’s version of a work that was accepted for publication in Computer Methods in Applied Mechanics and Engineering. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computer Methods in Applied Mechanics and Engineering, 18 July 2015. DOI:10.1016/ j.cma.2015.07.009 Download date 07/10/2021 05:34:35 Link to Item http://hdl.handle.net/10754/561071 Accepted Manuscript Newton-Krylov-BDDC solvers for nonlinear cardiac mechanics L.F. Pavarino, S. Scacchi, S. Zampini PII: S0045-7825(15)00221-2 DOI: http://dx.doi.org/10.1016/j.cma.2015.07.009 Reference: CMA 10661 To appear in: Comput. Methods Appl. Mech. Engrg. Received date: 13 December 2014 Revised date: 3 June 2015 Accepted date: 8 July 2015 Please cite this article as: L.F. Pavarino, S. Scacchi, S. Zampini, Newton-Krylov-BDDC solvers for nonlinear cardiac mechanics, Comput. Methods Appl. Mech. Engrg. (2015), http://dx.doi.org/10.1016/j.cma.2015.07.009 This is a PDF file of an unedited manuscript that has been accepted for publication. -
A High-Order Boris Integrator
A high-order Boris integrator Mathias Winkela,∗, Robert Speckb,a, Daniel Ruprechta aInstitute of Computational Science, University of Lugano, Switzerland. bJ¨ulichSupercomputing Centre, Forschungszentrum J¨ulich,Germany. Abstract This work introduces the high-order Boris-SDC method for integrating the equations of motion for electrically charged particles in an electric and magnetic field. Boris-SDC relies on a combination of the Boris-integrator with spectral deferred corrections (SDC). SDC can be considered as preconditioned Picard iteration to com- pute the stages of a collocation method. In this interpretation, inverting the preconditioner corresponds to a sweep with a low-order method. In Boris-SDC, the Boris method, a second-order Lorentz force integrator based on velocity-Verlet, is used as a sweeper/preconditioner. The presented method provides a generic way to extend the classical Boris integrator, which is widely used in essentially all particle-based plasma physics simulations involving magnetic fields, to a high-order method. Stability, convergence order and conserva- tion properties of the method are demonstrated for different simulation setups. Boris-SDC reproduces the expected high order of convergence for a single particle and for the center-of-mass of a particle cloud in a Penning trap and shows good long-term energy stability. Keywords: Boris integrator, time integration, magnetic field, high-order, spectral deferred corrections (SDC), collocation method 1. Introduction Often when modeling phenomena in plasma physics, for example particle dynamics in fusion vessels or particle accelerators, an externally applied magnetic field is vital to confine the particles in the physical device [1, 2]. In many cases, such as instabilities [3] and high-intensity laser plasma interaction [4], the magnetic field even governs the microscopic evolution and drives the phenomena to be studied. -
Phd Thesis, Universit´Elibre De Bruxelles, Chauss´Eede Waterloo, 72, 1640 Rhode- St-Gen`Ese,Belgium, 2004
Universit´eLibre de Bruxelles von Karman Institute for Fluid Dynamics Aeronautics and Aerospace Department PhD. Thesis Algorithmic Developments for a Multiphysics Framework Thomas Wuilbaut Promoter: Prof. Herman Deconinck Contact information: Thomas Wuilbaut von Karman Institute for Fluid Dynamics 72 Chauss´eede Waterloo 1640 Rhode-St-Gen`ese BELGIUM email: [email protected] webpage: http://www.vki.ac.be/~wuilbaut To Olivia and her wonderful mother... Summary v Summary In this doctoral work, we adress various problems arising when dealing with multi-physical simulations using a segregated (non-monolithic) approach. We concentrate on a few specific problems and focus on the solution of aeroelastic flutter for linear elastic structures in compressible flows, conju- gate heat transfer for re-entry vehicles including thermo-chemical reactions and finally, industrial electro-chemical plating processes which often include stiff source terms. These problems are often solved using specifically devel- oped solvers, but these cannot easily be reused for different purposes. We have therefore considered the development of a flexible and reusable software platform for the simulation of multi-physics problems. We have based this development on the COOLFluiD framework developed at the von Karman Institute in collaboration with a group of partner institutions. For the solution of fluid flow problems involving compressible flows, we have used the Finite Volume method and we have focused on the applica- tion of the method to moving and deforming computational domains using the Arbitrary Lagrangian Eulerian formulation. Validation on a series of testcases (including turbulence) is shown. In parallel, novel time integration methods have been derived from two popular time discretization methods. -
Strong Form Meshfree Collocation Method for Higher Order and Nonlinear Pdes in Engineering Applications
University of Colorado, Boulder CU Scholar Civil Engineering Graduate Theses & Dissertations Civil, Environmental, and Architectural Engineering Spring 1-1-2019 Strong Form Meshfree Collocation Method for Higher Order and Nonlinear Pdes in Engineering Applications Andrew Christian Beel University of Colorado at Boulder, [email protected] Follow this and additional works at: https://scholar.colorado.edu/cven_gradetds Part of the Civil Engineering Commons, and the Partial Differential Equations Commons Recommended Citation Beel, Andrew Christian, "Strong Form Meshfree Collocation Method for Higher Order and Nonlinear Pdes in Engineering Applications" (2019). Civil Engineering Graduate Theses & Dissertations. 471. https://scholar.colorado.edu/cven_gradetds/471 This Thesis is brought to you for free and open access by Civil, Environmental, and Architectural Engineering at CU Scholar. It has been accepted for inclusion in Civil Engineering Graduate Theses & Dissertations by an authorized administrator of CU Scholar. For more information, please contact [email protected]. Strong Form Meshfree Collocation Method for Higher Order and Nonlinear PDEs in Engineering Applications Andrew Christian Beel B.S., University of Colorado Boulder, 2019 A thesis submitted to the Faculty of the Graduate School of the University of Colorado Boulder in partial fulfillment of the requirement for the degree of Master of Science Department of Civil, Environmental and Architectural Engineering 2019 This thesis entitled: Strong Form Meshfree Collocation Method for Higher Order and Nonlinear PDEs in Engineering Applications written by Andrew Christian Beel has been approved for the Department of Civil, Environmental and Architectural Engineering Dr. Jeong-Hoon Song (Committee Chair) Dr. Ronald Pak Dr. Victor Saouma Dr. Richard Regueiro Date The final copy of this thesis has been examined by the signatories, and we find that both the content and the form meet acceptable presentation standards of scholarly work in the above mentioned discipline. -
The Mortar Element Method and the FETI Method. Catherine Lacour, Yvon Maday
Two different approaches for matching nonconforming grids: the mortar element method and the FETI method. Catherine Lacour, Yvon Maday To cite this version: Catherine Lacour, Yvon Maday. Two different approaches for matching nonconforming grids: the mortar element method and the FETI method.. BIT Numerical Mathematics, Springer Verlag, 1997, 37 (3), pp.720 – 738. 10.1007/BF02510249. hal-00369517 HAL Id: hal-00369517 https://hal.archives-ouvertes.fr/hal-00369517 Submitted on 20 Mar 2009 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. BIT 37:3 (1997), 720-738. TWO DIFFERENT APPROACHES FOR MATCHING NONCONFORMING GRIDS: THE MORTAR ELEMENT METHOD AND THE FETI METHOD * C. LACOUR I and Y. MADAY 1'2 10NERA, DI, 29, Avenue de la Division Leclerc F-92322, Chatillon Cedex, France. email: [email protected] 2ASCI, Batiment 506, Universitd Paris Sud, F-91405 Orsay Cedex France. email: [email protected] Abstract. When using domain decomposition in a finite element framework for the approxi- mation of second order elliptic or parabolic type problems, it has become appealing to tune the mesh of each subdomain to the local behaviour of the solution. The resulting discretization being then nonconforming, different approaches have been advocated to match the admissible discrete functions. -
Multigrid and Saddle-Point Preconditioners for Unfitted Finite
Multigrid and saddle-point preconditioners for unfitted finite element modelling of inclusions Hardik Kothari∗and Rolf Krause† Institute of Computational Science, Universit`adella Svizzera italiana, Lugano, Switzerland February 17, 2021 Abstract In this work, we consider the modeling of inclusions in the material using an unfitted finite element method. In the unfitted methods, structured background meshes are used and only the underlying finite element space is modified to incorporate the discontinuities, such as inclusions. Hence, the unfitted methods provide a more flexible framework for modeling the materials with multiple inclusions. We employ the method of Lagrange multipliers for enforcing the interface conditions between the inclusions and matrix, this gives rise to the linear system of equations of saddle point type. We utilize the Uzawa method for solving the saddle point system and propose preconditioning strategies for primal and dual systems. For the dual systems, we review and compare the preconditioning strategies that are developed for FETI and SIMPLE methods. While for the primal system, we employ a tailored multigrid method specifically developed for the unfitted meshes. Lastly, the comparison between the proposed preconditioners is made through several numerical experiments. Keywords: Unfitted finite element method, multigrid method, saddle-point problem 1 Introduction In the modeling of many real-world engineering problems, we encounter material discontinuities, such as inclusions. The inclusions are found naturally in the materials, or can be artificially introduced to produce desired mechanical behavior. The finite element (FE) modeling of such inclusions requires to generate meshes that can resolve the interface between the matrix and inclusions, which can be a computationally cumbersome and expensive task.