Electronic Resource

Understanding Turbulent Systems = Progress in Particle Dynamics Modeling

This open access book provides a thorough introduction to modeling turbulent, dispersed, two-phase flows. It explains the physical phenomena and governing laws at play, followed by a clear and systematic overview of the statistical tools used to develop simplified or coarse-grained models.

With a pedagogical approach, the book uses practical examples to explain complex physical processes and stochastic methods, making it accessible to readers familiar with basic courses in statistical physics and applied mathematics. It also highlights emerging research areas and unexplored challenges in the field.

Designed as a self-contained resource, this book is ideal for graduate students and junior researchers in various branches of physics. At the same time, it serves as a valuable reference for experts seeking deeper insights into turbulent, dispersed, two-phase flows.

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Detail Information

Series Title

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Call Number

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Publisher

: Springer Cham., 2025

Collation

XIX, 284 hlm; ill., lamp.,

Language

English

ISBN/ISSN

9783031844669

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

Materials Science
Plasma Physics
Classical and Continuum Physics
general

Specific Detail Info

This book is open access, which means that you have free and unlimited access Provides a detailed rationale for using Lagrangian stochastic methods to model discrete particle dynamics Investigates the limitations of kinetic-based particle transport models and Boltzmann-like collision approaches Offers a step-by-step guide to building probabilistic models and introduces new approaches to inspire further research

Statement of Responsibility

Jean-Pierre Minier , Martin Ferrand , Christophe Henry

Other Information

Cataloger

ida

Source

https://link.springer.com/book/10.1007/978-3-031-84466-9

Validator

-

Digital Object Identifier (DOI)

https://doi.org/10.1007/978-3-031-84466-9

Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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