Collective Dynamics of Particles
Title | Collective Dynamics of Particles PDF eBook |
Author | Cristian Marchioli |
Publisher | Springer |
Pages | 134 |
Release | 2017-02-21 |
Genre | Technology & Engineering |
ISBN | 3319512269 |
The book surveys the state-of-the-art methods that are currently available to model and simulate the presence of rigid particles in a fluid flow. For particles that are very small relative to the characteristic flow scales and move without interaction with other particles, effective equations of motion for particle tracking are formulated and applied (e.g. in gas-solid flows). For larger particles, for particles in liquid-solid flows and for particles that interact with each other or possibly modify the overall flow detailed model are presented. Special attention is given to the description of the approximate force coupling method (FCM) as a more general treatment for small particles, and derivations in the context of low Reynolds numbers for the particle motion as well as application at finite Reynolds numbers are provided. Other topics discussed in the book are the relation to higher resolution immersed boundary methods, possible extensions to non-spherical particles and examples of applications of such methods to dispersed multiphase flows.
Collective Dynamics in Dispersions of Anisotropic and Deformable Particles
Title | Collective Dynamics in Dispersions of Anisotropic and Deformable Particles PDF eBook |
Author | David Saintillan |
Publisher | |
Pages | 255 |
Release | 2006 |
Genre | |
ISBN |
Brownian Agents and Active Particles
Title | Brownian Agents and Active Particles PDF eBook |
Author | Frank Schweitzer |
Publisher | Springer Science & Business Media |
Pages | 427 |
Release | 2007-08-31 |
Genre | Business & Economics |
ISBN | 3540738444 |
This book lays out a vision for a coherent framework for understanding complex systems. By developing the genuine idea of Brownian agents, the author combines concepts from informatics, such as multiagent systems, with approaches of statistical many-particle physics. It demonstrates that Brownian agent models can be successfully applied in many different contexts, ranging from physicochemical pattern formation to swarming in biological systems.
Collective Dynamics of Interacting Particles
Title | Collective Dynamics of Interacting Particles PDF eBook |
Author | Jan Peszek (matematyka) |
Publisher | |
Pages | |
Release | 2016 |
Genre | |
ISBN |
Keywords: alignment, flocking, singular kernel, singular potential, kinetic equation, non-Newtonian fluid.
Collective Dynamics from Bacteria to Crowds
Title | Collective Dynamics from Bacteria to Crowds PDF eBook |
Author | Adrian Muntean |
Publisher | Springer Science & Business Media |
Pages | 182 |
Release | 2014-03-18 |
Genre | Science |
ISBN | 3709117852 |
Multiscale models in social applications combine mean-field and kinetic equations with either microscopic or macroscopic level descriptions. In this book the reader will find not only a wide spectrum of multiscale analysis results (like convergence proofs), but also practically important information such as derivations of mean-field equations, methods to handle hard contacts numerically, to model group behavior, to quantitative estimate microscopic/macroscopic segregation of competing species, to quantitative understand the limits of validity of mass-action kinetics for simple reactions.
The Collective Dynamics of Self-propelled Particles in Confining Environments
Title | The Collective Dynamics of Self-propelled Particles in Confining Environments PDF eBook |
Author | Elliot James Marsden |
Publisher | |
Pages | |
Release | 2016 |
Genre | |
ISBN |
Brownian Agents and Active Particles
Title | Brownian Agents and Active Particles PDF eBook |
Author | Frank Schweitzer |
Publisher | Springer |
Pages | 427 |
Release | 2007-08-29 |
Genre | Computers |
ISBN | 3540738452 |
This book lays out a vision for a coherent framework for understanding complex systems. By developing the genuine idea of Brownian agents, the author combines concepts from informatics, such as multiagent systems, with approaches of statistical many-particle physics. It demonstrates that Brownian agent models can be successfully applied in many different contexts, ranging from physicochemical pattern formation to swarming in biological systems.