**Part 3 Other Applications of Computational Simulations 427**

Chapter 20 **Upper Burst Error Bound for Atmospheric Correlated Optical Communications Using an Alternative Matrix Decomposition 429**  Antonio Jurado-Navas, José María Garrido-Balsells, Miguel Castillo-Vázquez and Antonio Puerta-Notario

VI Contents

**Part 2 Applications Involving Computational Fluid Dynamics 175** 

**for the Prediction of Fluid-Dynamics, Combustion and Performance in IC Engines Fuelled by CNG 259** 

**for Fluid Mixing Phenomena in Boiling Water Reactor 287**

**Unsteady Fluid Forces in Heat Exchanger Tube Bundles 319** 

**Spatially-Developing Turbulent Boundary Layer Flow 331** 

**Large Eddy Simulation and Direct Numerical Simulation 209**

Chapter 9 **Numerical Modelling and Optimization** 

Michela Costa and Luigi Allocca

Chapter 10 **Turbulent Combustion Simulation by** 

Fang Wang

Chapter 11 **Numerical Simulation of Dense** 

and Hans Joachim Krautz

Chapter 12 **Numerical Simulation Techniques** 

Chapter 14 **Numerical Simulations of** 

Chapter 15 **Large-Eddy Simulation of** 

Hiromasa Nakayama

Chapter 17 **Numerical Simulation of Dense Phase** 

Chapter 18 **A Three-Dimensional Numerical Simulation** 

Chapter 16 **Computations of Flowfield** 

R. C. Mehta

Mirko Baratta and Ezio Spessa

Chapter 13 **Development of Two-Phase Flow Correlation** 

H. Omar, M. Hassan and A. Gerber

**Turbulent Flow and Plume Dispersion in a** 

**over Reentry Modules at High Speed 347** 

**Pneumatic Conveying in Long-Distance Pipe 373** Zongming Liu, Guangbin Duan and Kun Wang

**of the Free Surface Flow Around a Ship Hull 395**  J. B. V. Wanderley, M. Vitola, S. H. Sphaier and C. Levi

Cesar Augusto Real-Ramirez and Jesus Isidro Gonzalez-Trejo

Chapter 19 **Hydrodynamic Analysis of Electrochemical Cells 409** 

Hiroyuki Yoshida and Kazuyuki Takase

**of the Mixture Formation Processby Multi-Hole Injectors in a GDI Engine 177** 

**Gas-Solid Multiphase Flows Using Eulerian-Eulerian Two-Fluid Model 235**  Teklay Weldeabzgi Asegehegn, Matthias Schreiber


Preface

screening of potential drug molecules.

application problems being studied.

plate or a vertical channel (chapter 5 – 8).

divided into three parts:

Over the last half a century, the rapid integration of mathematical modeling, computing technology, and real-life applications has made computational simulation a powerful tool for researchers to study complex phenomena in the nature and the society around us. Along with theory and experiment, computational simulation has now become the third pillar for the foundation of scientific exploration. In many circumstances, computational simulations enable researchers to study complex problems in greater detail with better understanding than theory or experiments, such as in the study of protein dynamics. In other circumstances, computational simulations allow researchers to explore numerous different scenarios much more quickly and cost-effectively than experiments, such as in optimal design of modern aircrafts or

One of the main challenges facing researchers in the field of computational simulations is the highly interdisciplinary nature of the field, which typically involves complex real-world application problems, mathematical models describing those problems, appropriate numerical solution algorithms for solving those model equations, and necessary computer hardware and software to carry out simulations. Successful computational simulation projects often require team-efforts and knowledge in mathematical modeling, computer programming, and specific

The purpose of this book is to highlight the interdisciplinary nature of computational simulations and to introduce researchers and graduate students who are interested in computational simulations to a broad range of applications, with a particular emphasis on those involving computational fluid dynamics (CFD) simulations. The book is

 Part I covers some basic research topics and development in numerical solution algorithms for computational fluid dynamics, including Reynolds stress transport modeling and central difference schemes for convection-diffusion equations (chapter 1 – 4), and flow simulations involving simple geometries such as a flat

 Part II covers a variety of important applications in which CFD simulations play a crucial role, including combustion process and automobile engine design (chapter
