Part I Introduction: 1 The COMSON Project: Michael Gьnther and Uwe Feldmann.- Part II Partial Differential Algebraic Equations: 2 PDAE Modeling and Discretization: Giuseppe Alм, Massimiliano Culpo, Roland Pulch, Vittorio Romano and Sebastian Schцps.- 3 Simulation of Coupled PDAEs - Dynamic Iteration and Multirate Simulation: Giuseppe Alм, Andreas Bartel, Michael Gьnther, Vittorio Romano and Sebastian Schцps.- Part III Model Order Reduction: 4 Model Order Reduction - Methods, Concepts and Properties: Athanasios C. Antoulas, Roxana Ionutiu, Nelson Martins, E. Jan W. ter Maten, Kasra Mohaghegh, Roland Pulch, Joost Rommes, Maryam Saadvandi and Michael Striebel.- 5 Parameterized Model Order Reduction: Gabriela Ciuprina, Jorge Fernбndez Villena, Daniel Ioan, Zoran Ilievski, Sebastian Kula, E. Jan W. ter Maten, Kasra Mohaghegh, Roland Pulch, Wil H.A. Schilders, L. Miguel Silveira, Alexandra, Stefбnescu and Michael Striebel.- 6 Advanced topics in Model Order Reduction: Davit Harutyunyan, Roxana Ionutiu, E. Jan W. ter Maten, Joost Rommes, Wil H.A. Schilders and Michael Striebel.- Part IV Optimization: 7 Optimization Methods and Applications to microelectronics CAD: Salvatore Rinaudo, Valeria Cinnera Martino, Franco Fiorante, Giovanni Stracquadanio and Giuseppe Nicosia.- Part V COMSON Methodology: 8 COMSON Demonstrator Platform: Georg Denk, Tamara Bechtold, Massimiliano Culpo, Carlo de Falco, and Alexander Rusakov.- 9 eLearning in Industrial Mathematics with applications to Nanoelectronics: Giuseppe Alм, Eleonora Bilotta, Lorella Gabriele, Pietro Pantano, Josй Sepъlveda, Rocco Servidio, and Alexander Vasenev.- Index.
Part I Introduction: 1 The COMSON Project: Michael Gьnther and Uwe Feldmann.- Part II Partial Differential Algebraic Equations: 2 PDAE Modeling and Discretization: Giuseppe Alм, Massimiliano Culpo, Roland Pulch, Vittorio Romano and Sebastian Schцps.- 3 Simulation of Coupled PDAEs - Dynamic Iteration and Multirate Simulation: Giuseppe Alм, Andreas Bartel, Michael Gьnther, Vittorio Romano and Sebastian Schцps.- Part III Model Order Reduction: 4 Model Order Reduction - Methods, Concepts and Properties: Athanasios C. Antoulas, Roxana Ionutiu, Nelson Martins, E. Jan W. ter Maten, Kasra Mohaghegh, Roland Pulch, Joost Rommes, Maryam Saadvandi and Michael Striebel.- 5 Parameterized Model Order Reduction: Gabriela Ciuprina, Jorge Fernбndez Villena, Daniel Ioan, Zoran Ilievski, Sebastian Kula, E. Jan W. ter Maten, Kasra Mohaghegh, Roland Pulch, Wil H.A. Schilders, L. Miguel Silveira, Alexandra, Stefбnescu and Michael Striebel.- 6 Advanced topics in Model Order Reduction: Davit Harutyunyan, Roxana Ionutiu, E. Jan W. ter Maten, Joost Rommes, Wil H.A. Schilders and Michael Striebel.- Part IV Optimization: 7 Optimization Methods and Applications to microelectronics CAD: Salvatore Rinaudo, Valeria Cinnera Martino, Franco Fiorante, Giovanni Stracquadanio and Giuseppe Nicosia.- Part V COMSON Methodology: 8 COMSON Demonstrator Platform: Georg Denk, Tamara Bechtold, Massimiliano Culpo, Carlo de Falco, and Alexander Rusakov.- 9 eLearning in Industrial Mathematics with applications to Nanoelectronics: Giuseppe Alм, Eleonora Bilotta, Lorella Gabriele, Pietro Pantano, Josй Sepъlveda, Rocco Servidio, and Alexander Vasenev.- Index.
Автор: Hany Shehata; Youssef Rashed Название: Numerical Analysis of Nonlinear Coupled Problems ISBN: 3319619047 ISBN-13(EAN): 9783319619040 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume deals with numerical simulation of coupled problems in soil mechanics and foundations. Several nonlinear problems are considered including, soil plasticity, cracking, reaching the soil bearing capacity, creep, etc. Several numerical models of dams are considered together with coupled problems in soil mechanics and foundations.
Автор: Sergio R. Idelsohn Название: Numerical Simulations of Coupled Problems in Engineering ISBN: 3319061356 ISBN-13(EAN): 9783319061351 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents and discusses mathematical models, numerical methods and computational techniques used for solving coupled problems in science and engineering.
Автор: E. Jan W. ter Maten; Hans-Georg Brachtendorf; Rola Название: Nanoelectronic Coupled Problems Solutions ISBN: 3030307255 ISBN-13(EAN): 9783030307257 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Designs in nanoelectronics often lead to challenging simulation problems and include strong feedback couplings. Industry demands provisions for variability in order to guarantee quality and yield. It also requires the incorporation of higher abstraction levels to allow for system simulation in order to shorten the design cycles, while at the same time preserving accuracy. The methods developed here promote a methodology for circuit-and-system-level modelling and simulation based on best practice rules, which are used to deal with coupled electromagnetic field-circuit-heat problems, as well as coupled electro-thermal-stress problems that emerge in nanoelectronic designs. This book covers: (1) advanced monolithic/multirate/co-simulation techniques, which are combined with envelope/wavelet approaches to create efficient and robust simulation techniques for strongly coupled systems that exploit the different dynamics of sub-systems within multiphysics problems, and which allow designers to predict reliability and ageing; (2) new generalized techniques in Uncertainty Quantification (UQ) for coupled problems to include a variability capability such that robust design and optimization, worst case analysis, and yield estimation with tiny failure probabilities are possible (including large deviations like 6-sigma); (3) enhanced sparse, parametric Model Order Reduction techniques with a posteriori error estimation for coupled problems and for UQ to reduce the complexity of the sub-systems while ensuring that the operational and coupling parameters can still be varied and that the reduced models offer higher abstraction levels that can be efficiently simulated. All the new algorithms produced were implemented, transferred and tested by the EDA vendor MAGWEL. Validation was conducted on industrial designs provided by end-users from the semiconductor industry, who shared their feedback, contributed to the measurements, and supplied both material data and process data. In closing, a thorough comparison to measurements on real devices was made in order to demonstrate the algorithms’ industrial applicability.
Автор: Sergio R. Idelsohn Название: Numerical Simulations of Coupled Problems in Engineering ISBN: 3319381083 ISBN-13(EAN): 9783319381084 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents and discusses mathematical models, numerical methods and computational techniques used for solving coupled problems in science and engineering.
Описание: 1 Introduction.- 1.1 Objectives.- 1.2 State of the art.- 1.2.1 Eulerian and Lagrangian approaches for free surface flow analysis .- 1.2.2 Stabilization techniques.- 1.2.3 Algorithms for FSI problems.- 1.3 Numerical model.- 1.3.1 Reasons.- 1.3.2 Essential features.- 1.3.3 Outline.- 1.4 Publications.- 2 Velocity-based formulations for compressible materials.- 2.1 Velocity formulation.- 2.1.1 From the local form to the spatial semi-discretization.- 2.1.2 Time integration.- 2.1.3 Linearization.- 2.1.4 Incremental solution scheme.- 2.2 Mixed velocity-pressure formulation.- 2.2.1 Quasi-incompressible form of the continuity equation.- 2.2.2 Solution method.- 2.3 Hypoelasticity.- 2.3.1 Velocity formulation for hypoelastic solids.- 2.3.2 Mixed Velocity-Pressure formulation for hypoelastic solids.- 2.3.3 Theory of plasticity.- 2.3.3.1 Hypoelastic-plastic materials.- 2.3.4 Validation examples.- 2.4 Summary and conclusions.- 3 Unified stabilized formulation for quasi-incompressible materials.- 3.1 Stabilized FIC form of the mass balance equation.- 3.1.1 Governing equations.- 3.1.2 FIC mass balance equation in space and in time.- 3.1.3 FIC stabilized local form of the mass balance equation.- 3.1.4 Variational form.- 3.1.5 FEM discretization and matrix form.- 3.2 Solution scheme for quasi-incompressible Newtonian fluids.- 3.2.1 Governing equations.- 3.2.2 Solution scheme.- 3.3 Solution scheme for quasi-incompressible hypoelastic solids.- 3.4 Free surface flow analysis.- 3.4.1 The Partiele Finite Element Method.- 3.4.1.1 Remeshing.- 3.4.1.2 Basic steps.- 3.4.1.3 Advantages and disadvantages.- 3.4.2 Mass conservation analysis.- 3.4.2.1 Numerical examples.- 3.4.3 Analysis of the conditioning of the solution scheme.- 3.4.3.1 Drawbacks associated to the real bulk modulus.- 3.4.3.2 Optimum value for the pseudo bulk modulus.- 3.4.3.3 Numerical examples.- 3.5 Validation examples.- 3.5.1 Validation of the Unified formulation for Newtonian fluids.- 3.5.2 Validation of the Unified formulation for quasi-incompressible hypoelastic solids.- 3.6 Summary and conclusions.- 4 Unified formulation for F SI problems.- 4.1 Introduction.- 4.2 FSI algorithm.- 4.3 Coupling with the Velocity formulation for the solid.- 4.4 Coupling with the mixed Velocity-Pressure formulation for the solid.- 4.5 Numerical examples.- 4.6 Summary and conclusions.- 5 Coupled thermal-mechanical formulation.- 5.1 Introduction.- 5.2 Heat problem.- 5.2.1 FEM discretization and solution for a time step.- 5.3 Thermal coupling.- 5.3.1 Numerical examples.- 5.4 Phase change.- 5.4.1 Numerical example: melting of an ice block.- 5.5 Summary and conclusions.- 6 Industrial application: PFEM Analysis Model of NPP Severe Accident.- 6.1 Introduction.- 6.1.1 Assumptions allowed by the specification.- 6.2 Numerical method.- 6.3 Basic Model.- 6.3.1 Problem data.- 6.3.2 Preliminary study.- 6.3.3 Numerical results.- 6.4 Detailed model.- 6.4.1 Problem data.- 6.4.2 Preliminary study.- 6.4.3 Numerical results.- 6.5 Summary and conclusions.- 7 Conclusions and future lines of research.- 7.1 Contributions.- 7.2 Lines for future work.
Описание: This book treats the derivation and implementation of a unified particle finite element formulation for the solution of fluid and solid mechanics, Fluid-Structure Interaction (FSI) and coupled thermal problems.FSI problems are involved in many engineering branches, from aeronautics to civil and biomedical engineering. The numerical method proposed in this book has been designed to deal with a large part of these. In particular, it is capable of simulating accurately free-surface fluids interacting with structures that may undergo large displacements, suffer from thermo-plastic deformations and even melt. The method accuracy has been successfully verified in several numerical examples. The thesis also contains the application of the proposed numerical strategy for the simulation of a real industrial problem. This thesis, defended at the Universitat Politecnica de Catalunya in 2015, was selected (ex aequo) as the best PhD thesis in numerical methods in Spain for the year 2015 by the Spanish Society of Numerical Methods in Engineering (SEMNI).
Описание: This book brings together carefully selected, peer-reviewed works on mathematical biology presented at the BIOMAT International Symposium on Mathematical and Computational Biology, which was held at the Institute of Numerical Mathematics, Russian Academy of Sciences, in October 2017, in Moscow. Topics covered include, but are not limited to, the evolution of spatial patterns on metapopulations, problems related to cardiovascular diseases and modeled by boundary control techniques in hemodynamics, algebraic modeling of the genetic code, and multi-step biochemical pathways. Also, new results are presented on topics like pattern recognition of probability distribution of amino acids, somitogenesis through reaction-diffusion models, mathematical modeling of infectious diseases, and many others. Experts, scientific practitioners, graduate students and professionals working in various interdisciplinary fields will find this book a rich resource for research and applications alike.
Описание: This book brings together carefully selected, peer-reviewed works on mathematical biology presented at the BIOMAT International Symposium on Mathematical and Computational Biology, which was held at the Institute of Numerical Mathematics, Russian Academy of Sciences, in October 2017, in Moscow.
Автор: Yoel Tenne; Chi-Keong Goh Название: Computational Intelligence in Expensive Optimization Problems ISBN: 3642263186 ISBN-13(EAN): 9783642263187 Издательство: Springer Рейтинг: Цена: 39182.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A combination of theoretical treatment and real-world insight introduce the field of computational intelligence in this valuable reference. Topics include neural networks, frameworks for optimization, parallelization of algorithms, and more.
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