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Computational Engineering is a modern and multidisciplinary science for computer-based modeling, simulation, analysis, and optimization of complex engineering applications and natural phenomena. The book contains an overview of selected approaches from numerics and optimization of Partial Differential Equations as well as uncertainty quantification techniques, typically in multiphysics environments. Where possible, application cases from engineering are integrated.
The book will be of interest to researchers and practitioners of Computational Engineering, Applied Mathematics, Engineering Sciences and Computer Science.
Computational Engineering is a modern and multidisciplinary science for computer-based modeling, simulation, analysis, and optimization of complex engineering applications and natural phenomena. The book contains an overview of selected approaches from numerics and optimization of Partial Differential Equations as well as uncertainty quantification techniques, typically in multiphysics environments. Where possible, application cases from engineering are integrated.
The book will be of interest to researchers and practitioners of Computational Engineering, Applied Mathematics, Engineering Sciences and Computer Science.
Mixture of contributions from engineers, mathematicians, and computer scientists gives a truly interdisciplinary view of the state of the art in computational engineering
Variety of applications presented allows for the discovery of common methodological challenges
New and recently evolving fields such as uncertainty quantification are addressed in an application-oriented manner
Optimization of design parameters of CIP spray cleaning nozzle using Genetic Algorithm.- Multilevel Optimization of Fluid-Structure Interaction based on Reduced Order Models.- An investigation of airfoil noise prediction using hybrid LES/RANS models.- A high-order local Discontinuous Galerkin scheme for viscoelastic fluid flow.- A Bramble-Pasciak conjugate gradient method for discrete Stokes problems with lognormal random viscosity.- Linear Solvers for the Finite Pointset Method.- Additional degrees of parallelism within the Adomian decomposition method.- Integrated modeling and validation for phase change with natural convection.- A weighted reduced basis method for parabolic PDEs with random data.- Modeling of the compressed-air flow impact for thermoforming simulations.- Monolithic simulation of convection-coupled phase-change -- verification and reproducibility.
Erscheinungsjahr: | 2018 |
---|---|
Fachbereich: | EDV |
Genre: | Informatik, Mathematik, Medizin, Naturwissenschaften, Technik |
Rubrik: | Naturwissenschaften & Technik |
Thema: | Lexika |
Medium: | Buch |
Reihe: | Lecture Notes in Computational Science and Engineering |
Inhalt: |
x
209 S. 55 s/w Illustr. 21 farbige Illustr. 209 p. 76 illus. 21 illus. in color. |
ISBN-13: | 9783319938905 |
ISBN-10: | 3319938908 |
Sprache: | Englisch |
Herstellernummer: | 978-3-319-93890-5 |
Ausstattung / Beilage: | HC runder Rücken kaschiert |
Einband: | Gebunden |
Autor: |
Schäfer, Michael
Behr, Marek Mehl, Miriam Wohlmuth, Barbara |
Redaktion: |
Schäfer, Michael
Wohlmuth, Barbara Mehl, Miriam Behr, Marek |
Herausgeber: | Michael Schäfer/Marek Behr/Miriam Mehl et al |
Auflage: | 1st ed. 2018 |
Hersteller: |
Springer International Publishing
Springer International Publishing AG Lecture Notes in Computational Science and Engineering |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 241 x 160 x 18 mm |
Von/Mit: | Michael Schäfer (u. a.) |
Erscheinungsdatum: | 22.08.2018 |
Gewicht: | 0,5 kg |
Mixture of contributions from engineers, mathematicians, and computer scientists gives a truly interdisciplinary view of the state of the art in computational engineering
Variety of applications presented allows for the discovery of common methodological challenges
New and recently evolving fields such as uncertainty quantification are addressed in an application-oriented manner
Optimization of design parameters of CIP spray cleaning nozzle using Genetic Algorithm.- Multilevel Optimization of Fluid-Structure Interaction based on Reduced Order Models.- An investigation of airfoil noise prediction using hybrid LES/RANS models.- A high-order local Discontinuous Galerkin scheme for viscoelastic fluid flow.- A Bramble-Pasciak conjugate gradient method for discrete Stokes problems with lognormal random viscosity.- Linear Solvers for the Finite Pointset Method.- Additional degrees of parallelism within the Adomian decomposition method.- Integrated modeling and validation for phase change with natural convection.- A weighted reduced basis method for parabolic PDEs with random data.- Modeling of the compressed-air flow impact for thermoforming simulations.- Monolithic simulation of convection-coupled phase-change -- verification and reproducibility.
Erscheinungsjahr: | 2018 |
---|---|
Fachbereich: | EDV |
Genre: | Informatik, Mathematik, Medizin, Naturwissenschaften, Technik |
Rubrik: | Naturwissenschaften & Technik |
Thema: | Lexika |
Medium: | Buch |
Reihe: | Lecture Notes in Computational Science and Engineering |
Inhalt: |
x
209 S. 55 s/w Illustr. 21 farbige Illustr. 209 p. 76 illus. 21 illus. in color. |
ISBN-13: | 9783319938905 |
ISBN-10: | 3319938908 |
Sprache: | Englisch |
Herstellernummer: | 978-3-319-93890-5 |
Ausstattung / Beilage: | HC runder Rücken kaschiert |
Einband: | Gebunden |
Autor: |
Schäfer, Michael
Behr, Marek Mehl, Miriam Wohlmuth, Barbara |
Redaktion: |
Schäfer, Michael
Wohlmuth, Barbara Mehl, Miriam Behr, Marek |
Herausgeber: | Michael Schäfer/Marek Behr/Miriam Mehl et al |
Auflage: | 1st ed. 2018 |
Hersteller: |
Springer International Publishing
Springer International Publishing AG Lecture Notes in Computational Science and Engineering |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 241 x 160 x 18 mm |
Von/Mit: | Michael Schäfer (u. a.) |
Erscheinungsdatum: | 22.08.2018 |
Gewicht: | 0,5 kg |