Uncertainty Quantification in Computational Fluid Dynamics by Hester Bijl
Fluid flows are characterized by uncertain inputs such as random initial data, material and flux coefficients, and boundary conditions. The current volume addresses the pertinent issue of efficiently computing the flow uncertainty, given this initial randomness. It collects seven original review articles that cover improved versions of the Monte Carlo method (the so-called multi-level Monte Carlo method (MLMC)), moment-based stochastic Galerkin methods and modified versions of the stochastic collocation methods that use adaptive stencil selection of the ENO-WENO type in both physical and stochastic space. The methods are also complemented by concrete applications such as flows around aerofoils and rockets, problems of aeroelasticity (fluid-structure interactions), and shallow water flows for propagating water waves. The wealth of numerical examples provide evidence on the suitability of each proposed method as well as comparisons of different approaches.-
Numerical Analysis and Scientific Computing: an Anthology
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New Trends in Computational Engineering
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Software for Exascale Computing - SPPEXA 2016-2019
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Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018
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Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2020+1
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BEM-based Finite Element Approaches on Polytopal Meshes
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27th International Meshing Roundtable
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Sparse Grids and Applications - Munich 2018
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Advanced Finite Element Methods with Applications
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Numerical Geometry, Grid Generation and Scientific Computing
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New Algorithms for Macromolecular Simulation
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Advanced Computing
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Topics in Computational Wave Propagation
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Recent Developments in Domain Decomposition Methods
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Finite and Boundary Element Tearing and Interconnecting Solvers for Multiscale Problems
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Numerical Solution of Partial Differential Equations on Parallel Computers
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Computational Electromagnetics
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Challenges in Scientific Computing - CISC 2002
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Multiscale and Multiresolution Methods
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Interface and Transport Dynamics
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Frontiers in Numerical Analysis - Durham 2010
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Computational Methods in Transport: Verification and Validation
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Large-Scale PDE-Constrained Optimization
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Numerical Analysis of Multiscale Computations
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Meshfree Methods for Partial Differential Equations IV
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Computational Methods for Macromolecules: Challenges and Applications
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Complex Effects in Large Eddy Simulations
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Simulation and Visualization on the Grid
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Advanced Computational Methods in Science and Engineering
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Numerical Analysis of Multiscale Problems
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Numerical Methods in Computational Electrodynamics
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Multiscale Modelling and Simulation
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Spectral and High Order Methods for Partial Differential Equations - ICOSAHOM 2012
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Scientific Modeling and Simulations
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Boundary and Interior Layers, Computational and Asymptotic Methods BAIL 2018
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Sparse Grid Quadrature in High Dimensions with Applications in Finance and Insurance
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Domain Decomposition Methods in Science and Engineering XIX
| SKU | Unavailable |
| ISBN 13 | 9783319008844 |
| ISBN 10 | 3319008846 |
| Title | Uncertainty Quantification in Computational Fluid Dynamics |
| Author | Hester Bijl |
| Series | Lecture Notes In Computational Science And Engineering |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer International Publishing AG |
| Year published | 2013-10-07 |
| Number of pages | 333 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |