Uncertainty Quantification in Computational Fluid Dynamics

Uncertainty Quantification in Computational Fluid Dynamics
Author: Hester Bijl
Publisher: Springer Science & Business Media
Total Pages: 347
Release: 2013-09-20
Genre: Mathematics
ISBN: 3319008854

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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.

Uncertainty Quantification In Computational Science: Theory And Application In Fluids And Structural Mechanics

Uncertainty Quantification In Computational Science: Theory And Application In Fluids And Structural Mechanics
Author: Sunetra Sarkar
Publisher: World Scientific
Total Pages: 197
Release: 2016-08-18
Genre: Technology & Engineering
ISBN: 9814730599

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During the last decade, research in Uncertainty Quantification (UC) has received a tremendous boost, in fluid engineering and coupled structural-fluids systems. New algorithms and adaptive variants have also emerged.This timely compendium overviews in detail the current state of the art of the field, including advances in structural engineering, along with the recent focus on fluids and coupled systems. Such a strong compilation of these vibrant research areas will certainly be an inspirational reference material for the scientific community.

Special Issue

Special Issue
Author:
Publisher:
Total Pages: 83
Release: 2012
Genre:
ISBN:

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A Practical Guide to Large Scale Computational Fluid Dynamics

A Practical Guide to Large Scale Computational Fluid Dynamics
Author: Ian Eames
Publisher: Wiley
Total Pages: 300
Release: 2023-05-22
Genre: Technology & Engineering
ISBN: 9781119212065

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A Practical Guide to Large Scale Computational Fluid Dynamics Ian Eames, Christian Klettner and Andre Nicolle University College London, UK A practical guide to large scale computational fluid dynamics This book is a practical guide to large scale computational fluid dynamics which covers the main elements in writing large scale efficient fluid dynamics codes before considering the applications of these codes. A Practical Guide to Large Scale Computational Fluid Dynamics begins with an overview of fluid mechanics and the different methods (experimental, analytical and numerical) of analyzing fluid problems. It provides an introduction to the finite element method and the computational challenges encountered when writing largescale code and handling large data sets. The qualitative and quantitative diagnostics, which are essential to gaining physical insight, are presented and given in the fields of turbulence, fluid-structure interaction and free-surface flows. Finally, future trends are considered. Key features: Review of programming paradigms and open source high performance libraries which can be used to cut code development time. Extensive presentation of diagnostics which will help both numerical and experimental researchers. Provides validation cases which include a comprehensive list of common benchmark examples. Conceptual challenges from turbulent flows, fluid structure interaction and free surface flows are covered. Current state of the art research is described. Accompanied by a website hosting software and tutorials. The book is essential reading for postgraduate students, post-doctoral researchers and principal investigators who are writing large scale fluid mechanics codes and working with large datasets.

Efficient High-Order Discretizations for Computational Fluid Dynamics

Efficient High-Order Discretizations for Computational Fluid Dynamics
Author: Martin Kronbichler
Publisher: Springer Nature
Total Pages: 314
Release: 2021-01-04
Genre: Technology & Engineering
ISBN: 3030606104

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The book introduces modern high-order methods for computational fluid dynamics. As compared to low order finite volumes predominant in today's production codes, higher order discretizations significantly reduce dispersion errors, the main source of error in long-time simulations of flow at higher Reynolds numbers. A major goal of this book is to teach the basics of the discontinuous Galerkin (DG) method in terms of its finite volume and finite element ingredients. It also discusses the computational efficiency of high-order methods versus state-of-the-art low order methods in the finite difference context, given that accuracy requirements in engineering are often not overly strict. The book mainly addresses researchers and doctoral students in engineering, applied mathematics, physics and high-performance computing with a strong interest in the interdisciplinary aspects of computational fluid dynamics. It is also well-suited for practicing computational engineers who would like to gain an overview of discontinuous Galerkin methods, modern algorithmic realizations, and high-performance implementations.

A Summary of Industrial Verification, Validation, and Uncertainty Quantification Procedures in Computational Fluid Dynamics

A Summary of Industrial Verification, Validation, and Uncertainty Quantification Procedures in Computational Fluid Dynamics
Author: DongHun Yeo
Publisher:
Total Pages: 33
Release: 2020
Genre: Computational fluid dynamics
ISBN:

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Within a variety of Computational Fluid Dynamics (CFD) applications, maturity levels can vary significantly depending upon modeling approach and the user's knowledge and skills. Recently, application of CFD techniques for Computational Wind Engineering (CWE) has generated strong interest among wind and structural engineers as a possible substitute for or supplement to wind tunnel experimentation, even though CWE is still in a developmental stage. A necessary step toward advancing CWE simulations in wind and structural engineering applications credible is the development of reliable verification and validation (V&V) procedures. Fundamental factors that determine the degree to which CWE simulations are the credible include: (i) the quality of the mathematical modeling of the physics of interest; (ii) the depth of understanding by the users/analysts of the details of the model and the simulation results; (iii) the quality of the verification and validation (V&V) procedures applied to the simulation results, and (iv) the quality of the uncertainty quantification procedure applied to those results. This report deals in detail with the sources of inaccuracy in CFD simulations, and concepts and procedures used in V&V and uncertainty quantification.