|Author||: Kai Luo|
|Publisher||: Academic Press|
|Release Date||: 2021-04|
|ISBN 10||: 9780128174890|
|Pages||: 329 pages|
Direct Numerical Simulation and Multiscale Modelling provides a unified description of DNS, LES and RANS in the context of broader modelling and simulation practice. The relevance of these techniques to flow, turbulence, combustion and multiphysics is explained to help readers apply them to a wide range of research topics. Introductory sections help readers get up to speed with the theories of turbulence, combustion, and multiphysics, along with the basics of simulation and modelling. This is followed by thorough treatments of the numerical methods, boundary conditions, and specific modelling approaches for different purposes. Applications in fields including aerospace, biomedical, and chemical engineering are investigated where appropriate. This is the ideal guide for readers interested in direct numerical simulation, or modelling/simulation of turbulence more generally, who need an overview of the methods available and advice on how to select and implement the correct one.
|Author||: Grétar Tryggvason,Ruben Scardovelli,Stéphane Zaleski|
|Publisher||: Cambridge University Press|
|Release Date||: 2011-03-10|
|ISBN 10||: 1139496700|
|Pages||: 329 pages|
Accurately predicting the behaviour of multiphase flows is a problem of immense industrial and scientific interest. Modern computers can now study the dynamics in great detail and these simulations yield unprecedented insight. This book provides a comprehensive introduction to direct numerical simulations of multiphase flows for researchers and graduate students. After a brief overview of the context and history the authors review the governing equations. A particular emphasis is placed on the 'one-fluid' formulation where a single set of equations is used to describe the entire flow field and interface terms are included as singularity distributions. Several applications are discussed, showing how direct numerical simulations have helped researchers advance both our understanding and our ability to make predictions. The final chapter gives an overview of recent studies of flows with relatively complex physics, such as mass transfer and chemical reactions, solidification and boiling, and includes extensive references to current work.
|Author||: Alejandro A. Franco,Marie Liesse Doublet,Wolfgang G. Bessler|
|Release Date||: 2015-11-12|
|ISBN 10||: 1447156773|
|Pages||: 249 pages|
The aim of this book is to review innovative physical multiscale modeling methods which numerically simulate the structure and properties of electrochemical devices for energy storage and conversion. Written by world-class experts in the field, it revisits concepts, methodologies and approaches connecting ab initio with micro-, meso- and macro-scale modeling of components and cells. It also discusses the major scientific challenges of this field, such as that of lithium-ion batteries. This book demonstrates how fuel cells and batteries can be brought together to take advantage of well-established multi-scale physical modeling methodologies to advance research in this area. This book also highlights promising capabilities of such approaches for inexpensive virtual experimentation. In recent years, electrochemical systems such as polymer electrolyte membrane fuel cells, solid oxide fuel cells, water electrolyzers, lithium-ion batteries and supercapacitors have attracted much attention due to their potential for clean energy conversion and as storage devices. This has resulted in tremendous technological progress, such as the development of new electrolytes and new engineering designs of electrode structures. However, these technologies do not yet possess all the necessary characteristics, especially in terms of cost and durability, to compete within the most attractive markets. Physical multiscale modeling approaches bridge the gap between materials’ atomistic and structural properties and the macroscopic behavior of a device. They play a crucial role in optimizing the materials and operation in real-life conditions, thereby enabling enhanced cell performance and durability at a reduced cost. This book provides a valuable resource for researchers, engineers and students interested in physical modelling, numerical simulation, electrochemistry and theoretical chemistry.
|Author||: Xi Jiang,Choi-Hong Lai|
|Publisher||: CRC Press|
|Release Date||: 2016-04-19|
|ISBN 10||: 9781420075793|
|Pages||: 276 pages|
Compared to the traditional modeling of computational fluid dynamics, direct numerical simulation (DNS) and large-eddy simulation (LES) provide a very detailed solution of the flow field by offering enhanced capability in predicting the unsteady features of the flow field. In many cases, DNS can obtain results that are impossible using any other means while LES can be employed as an advanced tool for practical applications. Focusing on the numerical needs arising from the applications of DNS and LES, Numerical Techniques for Direct and Large-Eddy Simulations covers basic techniques for DNS and LES that can be applied to practical problems of flow, turbulence, and combustion. After introducing Navier–Stokes equations and the methodologies of DNS and LES, the book discusses boundary conditions for DNS and LES, along with time integration methods. It then describes the numerical techniques used in the DNS of incompressible and compressible flows. The book also presents LES techniques for simulating incompressible and compressible flows. The final chapter explores current challenges in DNS and LES. Helping readers understand the vast amount of literature in the field, this book explains how to apply relevant numerical techniques for practical computational fluid dynamics simulations and implement these methods in fluid dynamics computer programs.
|Release Date||: 2002|
|Pages||: 442 pages|
|Author||: Pierre Sagaut|
|Publisher||: World Scientific|
|Release Date||: 2013|
|ISBN 10||: 1848169876|
|Pages||: 448 pages|
The book aims to provide the reader with an updated general presentation of multiscale/multiresolution approaches in turbulent flow simulations. All modern approaches (LES, hybrid RANS/LES, DES, SAS) are discussed and recast in a global comprehensive framework. Both theoretical features and practical implementation details are addressed. Some full scale applications are described, to provide the reader with relevant guidelines to facilitate a future use of these methods.
This volume focuses on multiscale modelling: crossing the boundaries from atomistic studies of relatively small systems, to tackle larger systems where the properties of interest can only be studied at longer distances and longer time-scales. Many of the ideas of multiscale modelling cross traditional boundaries and this meeting brought together scientists from several different fields of modelling to discuss state of the art modelling of membranes, colloids, polymers and proteins. The following themes were included in the discussion: - Polymers: including microphase separation and self-assembly - Colloids: including the prediction of phases and phase diagrams - Mesophases: including liquid crystals, novel phases, self-assembled structures and the links between molecular structure and bulk properties - Membranes: including collective processes in lipid and surfactant systems - Methodology for multiscale simulations: including methods for moving between scales and for bridging different time and length scales
|Author||: Arnab Chakrabarty,Sam Mannan,Tahir Cagin|
|Release Date||: 2015-11-29|
|ISBN 10||: 0123972833|
|Pages||: 444 pages|
Multiscale Modeling for Process Safety Applications is a new reference demonstrating the implementation of multiscale modeling techniques on process safety applications. It is a valuable resource for readers interested in theoretical simulations and/or computer simulations of hazardous scenarios. As multi-scale modeling is a computational technique for solving problems involving multiple scales, such as how a flammable vapor cloud might behave if ignited, this book provides information on the fundamental topics of toxic, fire, and air explosion modeling, as well as modeling jet and pool fires using computational fluid dynamics. The book goes on to cover nanomaterial toxicity, QPSR analysis on relation of chemical structure to flash point, molecular structure and burning velocity, first principle studies of reactive chemicals, water and air reactive chemicals, and dust explosions. Chemical and process safety professionals, as well as faculty and graduate researchers, will benefit from the detailed coverage provided in this book. Provides the only comprehensive source addressing the use of multiscale modeling in the context of process safety Bridges multiscale modeling with process safety, enabling the reader to understand mapping between problem detail and effective usage of resources Presents an overall picture of addressing safety problems in all levels of modeling and the latest approaches to each in the field Features worked out examples, case studies, and a question bank to aid understanding and involvement for the reader
|Author||: Heinz Pitsch,Antonio Attili|
|Publisher||: Springer Nature|
|Release Date||: 2020-05-28|
|ISBN 10||: 3030447189|
|Pages||: 292 pages|
This book presents methodologies for analysing large data sets produced by the direct numerical simulation (DNS) of turbulence and combustion. It describes the development of models that can be used to analyse large eddy simulations, and highlights both the most common techniques and newly emerging ones. The chapters, written by internationally respected experts, invite readers to consider DNS of turbulence and combustion from a formal, data-driven standpoint, rather than one led by experience and intuition. This perspective allows readers to recognise the shortcomings of existing models, with the ultimate goal of quantifying and reducing model-based uncertainty. In addition, recent advances in machine learning and statistical inferences offer new insights on the interpretation of DNS data. The book will especially benefit graduate-level students and researchers in mechanical and aerospace engineering, e.g. those with an interest in general fluid mechanics, applied mathematics, and the environmental and atmospheric sciences.
|Author||: Suvranu De,Wonmuk Hwang,Ellen Kuhl|
|Release Date||: 2014-10-10|
|ISBN 10||: 1447165993|
|Pages||: 286 pages|
Presenting a state-of-the-art overview of theoretical and computational models that link characteristic biomechanical phenomena, this book provides guidelines and examples for creating multiscale models in representative systems and organisms. It develops the reader's understanding of and intuition for multiscale phenomena in biomechanics and mechanobiology, and introduces a mathematical framework and computational techniques paramount to creating predictive multiscale models. Biomechanics involves the study of the interactions of physical forces with biological systems at all scales – including molecular, cellular, tissue and organ scales. The emerging field of mechanobiology focuses on the way that cells produce and respond to mechanical forces – bridging the science of mechanics with the disciplines of genetics and molecular biology. Linking disparate spatial and temporal scales using computational techniques is emerging as a key concept in investigating some of the complex problems underlying these disciplines. Providing an invaluable field manual for graduate students and researchers of theoretical and computational modelling in biology, this book is also intended for readers interested in biomedical engineering, applied mechanics and mathematical biology.
|Release Date||: 2002|
|Pages||: 329 pages|