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Solving Large-scale Problems in Mechanics, Parallel and Distributed Computer Applications [Kõva köide]

  • Formaat: Hardback, 520 pages, kõrgus x laius: 250x173 mm, kaal: 990 g, Illustrations
  • Ilmumisaeg: 25-Feb-1997
  • Kirjastus: John Wiley & Sons Ltd
  • ISBN-10: 0471956961
  • ISBN-13: 9780471956969
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  • Formaat: Hardback, 520 pages, kõrgus x laius: 250x173 mm, kaal: 990 g, Illustrations
  • Ilmumisaeg: 25-Feb-1997
  • Kirjastus: John Wiley & Sons Ltd
  • ISBN-10: 0471956961
  • ISBN-13: 9780471956969
Teised raamatud teemal:
This book follows the previously published title, Solving Large-scale Problems in Mechanics, edited by M. Papadrakakis. This first volume to be published in the Wiley Series in Solving Large-scale Problems in Mechanics is devoted to high-performance computing using the new generation of computers with parallel and distributed computing capabilities. Parallel and distributed processing is a rapidly growing area of high technology where engineering applications lagged behind hardware advances. New algorithms and codes are required in order to exploit effectively modern computer architectures, as programs suitable for conventional computers achieve very modest performances on these new machines. There is therefore an urgent need to develop and test powerful solution and data handling techniques capable of exploiting the potential of modern computers and of accomplishing the solution of complex engineering problems in an acceptable computing time. This volume intends capturing the latest developments in the field and to serve as an essential reference book on the subject. It comprises a comprehensive state-of-the-art treatment of theory and practice, illustrated by extensive numerical examples.
Preface ix(4) List of Contributors xiii 1 Overcoming Engineering Design Time and Distance Hurdles Via High-Performance Computing 1(48) E.J. Plaskacz 1.1 Introduction 1(1) 1.2 Overcoming time hurdles 2(35) 1.3 Overcoming distance hurdles 37(6) Acknowledgements 43(1) References 44(5) 2 Solving Large-Scale Structural Problems on Parallel Computers using Domain Decomposition Techniques 49(38) P. Le Tallec M. Vidrascu 2.1 Introduction 49(1) 2.2 A model problem 50(2) 2.3 A basic domain decomposition algorithm 52(3) 2.4 Construction of the precondition 55(3) 2.5 Abstract convergence theory 58(6) 2.6 Implementation issues 64(3) 2.7 Application and numerical results 67(13) 2.8 Concluding remarks 80(2) References 82(5) 3 Domaine Decomposition Techniques for Computational Structural Mechanics 87(56) M. Papadrakakis 3.1 Introduction 87(2) 3.2 The global subdomain implementation (GSI) 89(15) 3.3 The primal subdomain implementation (PSI) on the interface 104(9) 3.4 The dual subdomain implementation (DSI) on the interface 113(9) 3.5 The solution of linear systems with multiple right-hand sides 122(3) 3.6 Solving topology optimization and sensitivity analysis problems 125(10) 3.7 Solving stochastic finite element analysis problems with Monte Carlo simulation 135(5) Acknowledgements 140(1) References 140(3) 4 Parallel Adaptive Multigrid Methods for Elasticity, Plasticity and Eigenvalue Problems 143(38) I.D. Parsons 4.1 Introduction 143(1) 4.2 Solution of linear matrix equations 144(5) 4.3 Algorithm behaviour and implementation 149(9) 4.4 Treatment of material nonlinearities 158(5) 4.5 Algorithms for eigenvalue problems 163(9) 4.6 Adaptive multigrid methods 172(6) 4.7 Concluding remarks 178(1) Acknowledgements 179(1) References 179(2) 5 Accuracy and Stability of Multi-Time Step Integration Schemes in Explicit Structural Dynamic Analysis 181(38) S. Gupta M. Ramirez 5.1 Introduction 181(3) 5.2 Multi-time step algorithm 184(1) 5.3 Definition of error terms 185(1) 5.4 Numerical experimentation 186(12) 5.5 Instabilities in multi-time step schemes 198(1) 5.6 Frequency domain analysis 199(1) 5.7 Dissipative algorithms, a family of methods 200(8) 5.8 Numerical examples 208(2) 5.9 Parallel im plementation 210(4) 5.9 Conclusion 214(1) References 215(4) 6 Krylov Subspace Methods on Parallel Computers 219(24) Y. Saad 6.1 Introduction 219(1) 6.2 Krylov subspace methods 220(3) 6.3 Parallel implementations 223(2) 6.4 Data-parallel preconditions 225(6) 6.5 Distributed sparse matrices 231(7) 6.6 Conclusion 238(1) References 239(4) 7 Parallel Distributed Solution of Coupled Nonlinear Dynamic Aeroelastic Response Problems 243(60) C. Farhat 7.1 Introduction 243(7) 7.2 Geometric conservation laws 250(11) 7.3 A family of staggered solution procedures 261(12) 7.4 The flow solver 273(3) 7.5 The structural dynamics analyzer 276(3) 7.6 Non-matching interface boundaries 279(3) 7.7 The mesh motion solver 282(1) 7.8 A unified parallelization strategy 283(1) 7.9 Applications and performance results 284(13) 7.10 Conclusions 297(1) Acknowledgements 298(1) References 298(5) 8 Finite Element and Active Element Placement Techniques for Control Structure Interaction Applications 303(32) R.C. Shieh 8.1 General 303(2) 8.2 Formulations of transient response problems and FE method-based MPP computational procedures 305(18) 8.3 Placement Optimization techniques of active elements (sensors/actuators) for static structural shape control 323(8) 8.4 Concluding remarks 331(1) References 332(3) 9 Structural Optimization Based on Evolution Strategies 335(28) G. Thierauf J. Cai 9.1 Introduction 335(1) 9.2 The original evolution strategies 336(3) 9.3 The modified evolution strategies 339(2) 9.4 Parallelization of the M-ES 341(5) 9.5 The two level parallelization 346(3) 9.6 Examples 349(10) Summary 359(1) Acknowledgements 359(1) References 360(3) 10 High Performance Computing Techniques for Flow Simulations 363(36) T. Tezduyar S. Aliabadi M. Behr A. Johnson V. Kalro M. Litke 10.1 Introduction 363(2) 10.2 Governing equations of compressible and incompressible flows 365(2) 10.3 Stabilized finite element formulations 367(2) 10.4 3D mesh generation for flow simulations with complex geometrics 369(1) 10.5 3D mesh update techniques for flow problems involving moving boundaries and interfaces 370(2) 10.6 Interactive solution strategies for large-scale computations 372(2) 10.7 Parallel computing 374(3) 10.8 Examples 377(5) 10.9 Concluding remarks 382(1) Acknowledgements 383(1) References 383(16) 11 Advanced Computational Technology for Product Design 399(32) R.K. Agarwal V. Shankar 11.1 Abstract 399(1) 11.2 Introduction 399(2) 11.3 Computational framework 401(4) 11.4 Implementation on MIMD computers 405(1) 11.5 Computational aerospace applications 406(14) 11.6 Computational commercial applications 420(9) 11.7 Conclusions 429(1) Acknowledgements 429(1) References 429(2) 12 Multi-Color Neural Network with Feedback Mechanism for Parallel Finite Element Fluid Analysis 431(28) H. Okuda G. Yagawa 12.1 Introduction 431(3) 12.2 Review of neural network application 434(1) 12.3 Basis of neural network 435(3) 12.4 Multi-color neural network solver for the Poisson equation 438(5) 12.5 Applications to incompressible flow analysis 443(10) 12.6 Concluding remarks 453(1) Acknowledgements 454(1) References 454(5) 13 Parallel Automatic Mesh Generation and Adaptive Mesh Control 459(36) M.S. Shephard J.E. Flaherty H.L. de Cougny C. L. Botasso C. Ozturan 13.1 Introduction 459(1) 13.2 Parallel control of evolving meshes 460(13) 13.3 Parallel automatic mesh generation 473(7) 13.4 Parallel mesh enrichment 480(5) 13.5 Parallel adaptive analysis 485(6) 13.6 Closing remarks 491(1) Acknowledgements 491(1) References 491(4) Index 495