By T.I. Zohdi

ISBN-10: 0898716276

ISBN-13: 9780898716276

The fairly fresh bring up in computational energy on hand for mathematical modeling and simulation increases the prospect that glossy numerical tools can play an important position within the research of complicated particulate flows. This introductory monograph specializes in uncomplicated versions and bodily established computational resolution recommendations for the direct and fast simulation of flowing particulate media. Its emphasis is totally on fluidized dry particulate flows during which there isn't any major interstitial fluid, even though absolutely coupled fluid-particle platforms are mentioned in addition. An creation to easy computational tools for ascertaining optical responses of particulate platforms is also incorporated. The profitable research of quite a lot of purposes calls for the simulation of flowing particulate media that concurrently consists of near-field interplay and call among debris in a thermally delicate setting. those platforms certainly ensue in astrophysics and geophysics; powder processing pharmaceutical industries; bio-, micro- and nanotechnologies; and functions coming up from the examine of spray methods concerning aerosols, sputtering, and epitaxy. viewers An advent to Modeling and Simulation of Particulate Flows is written for computational scientists, numerical analysts, and utilized mathematicians and should be of curiosity to civil and mechanical engineers and fabrics scientists. it's also appropriate for first-year graduate scholars within the technologies, engineering, and utilized arithmetic who've an curiosity within the computational research of complicated particulate flows. Contents checklist of Figures; Preface; bankruptcy 1: basics; bankruptcy 2: Modeling of particulate flows; bankruptcy three: Iterative answer schemes; bankruptcy four: consultant numerical simulations; bankruptcy five: Inverse problems/parameter id; bankruptcy 6: Extensions to swarm-like structures; bankruptcy 7: complicated particulate movement types; bankruptcy eight: Coupled particle/fluid interplay; bankruptcy nine: basic optical scattering equipment in particulate media; bankruptcy 10: last comments; Appendix A. uncomplicated (continuum) fluid mechanics; Appendix B. Scattering; Bibliography; Index

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Extra resources for An Introduction to Modeling and Simulation of Particulate Flows (Computational Science and Engineering)

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30) unit normal has been taken into account, thus the presence of a change in sign. 2. 32) nf ∂r r=r∗ r∗ . 34) where the “loading” is f ∗ (t) = −α1 r∗−β1 + α2 r∗−β2 − α1 β1 r∗−β1 −1 + α2 β2 r∗−β2 −1 . 36) α1 and ωn∗ = α1 α1 α2 2 = m where k ∗ = α1 def α1 m α1 α2 α1 α2 2 . 38) Thus, in the preceding numerical examples, when we kept the ratio αα12 constant, but increased α1 (while keeping m constant), we were effectively increasing the “stiffness” in the system and, therefore, the amount of (pre)stored energy available to counteract dissipation.

8) where L indicates the time step counter, t = L t for uniform time steps (as in this example), def and r L = r(t), etc. It is stable if |1 − c t| < 1. 9) which leads to the time-stepping scheme r(L t) = ro . 10) Since 1+c1 t < 1, it is always stable. 8) oscillates in an artificial, nonphysical manner when t> 2 . 6) is a so-called stiff equation, and t may have to be very small for the explicit method to be stable, while, for this example, a larger value of t can be used with the implicit method.

These difficulties can be circumvented by using a certain class of simple, yet robust, nonderivative search methods, usually termed “genetic” algorithms, before applying gradient-based schemes. Genetic algorithms are search methods based on the principles of natural selection, employing concepts of species evolution such as reproduction, mutation, and crossover. Implementation typically involves a randomly generated population of fixed-length elemental strings, “genetic information,” each of which represents a specific choice of system parameters.

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An Introduction to Modeling and Simulation of Particulate Flows (Computational Science and Engineering) by T.I. Zohdi


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