# Discontinuous Finite Elements in Fluid Dynamics and Heat Transfer

• Ben Q. Li
Textbook

Part of the Computational Fluid and Solid Mechanics book series (COMPFLUID)

1. Front Matter
Pages i-xvii
2. Pages 1-19
3. Pages 21-43
4. Pages 45-104
5. Pages 105-156
6. Pages 157-245
7. Pages 247-271
8. Pages 273-317
9. Pages 319-361
10. Pages 363-427
11. Pages 429-500
12. Pages 501-542
13. Back Matter
Pages 571-578

### Introduction

The discontinuous finite element method (also known as the discontinuous Galerkin method) embodies the advantages of both finite element and finite difference methods. It can be used in convection-dominant applications while maintaining geometric flexibility and higher local approximations throught the use of higer-order elements. Element-by element connection propagates the effect of boundary conditions and the local formulation obviates the need for global matrix assembly. All of this adds up to a method which is not unduly memory-intensive and uniquely useful for working with computational dynamics, heat transfer and fluid flow calculations.

Discontinuous Finite Elements in Fluid Dynamics and Heat Transfer offers its readers a systematic and practical introduction to the discontinuous finite element method. It moves from a brief review of the fundamental laws and equations governing thermal and fluid systems, through a discussion of different approaches to the formulation of discontinuous finite element solutions for boundary and initial value problems, to their applicaton in a variety of thermal-system and fluid-related problems, including:

• heat conduction problems;

• convection-dominant problems;

• computational compressible flows;

• free- and moving-boundary problems;

• micro- and nanoscale heat transfer and fluid flow;

• thermal fluid flow under the influence of applied magnetic fields.

Mesh generation and adaptivity, parellelization algorithms and a priori and a posteriori error analysis are also introduced and explained, rounding out a comprehensive review of the subject.

Each chapter features worked examples and exercises illustrating situations ranging from simple benchmarks to practical engineering questions.

This textbook is written to form the foundations of senior undergraduate and graduate learning and also provides scientists, applied mathematicians and research engineers with a thorough treatment of basic concepts, specific techniques and methods for the use of discontinuous Galerkin methods in computational fluid dynamics and heat transfer applications.

### Keywords

Potential algorithm algorithms computational fluid dynamics convection finite elements fluid dynamics learning

#### Authors and affiliations

• Ben Q. Li
• 1
1. 1.School of Mechanical and Materials EngineeringWashington State UniversityPullmanUSA

### Bibliographic information

• DOI https://doi.org/10.1007/1-84628-205-5
• Copyright Information Springer-Verlag London Limited 2006
• Publisher Name Springer, London
• eBook Packages Engineering
• Print ISBN 978-1-85233-988-3
• Online ISBN 978-1-84628-205-8
• Series Print ISSN 1860-482X
• Buy this book on publisher's site
Industry Sectors
Materials & Steel
Automotive
Chemical Manufacturing
Biotechnology
Electronics
Consumer Packaged Goods
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering