Stochastic Methods in Fluid Mechanics [electronic resource] / edited by Sergio Chibbaro, Jean Pierre Minier.
Contributor(s): Chibbaro, Sergio [editor.] | Minier, Jean Pierre [editor.] | SpringerLink (Online service).
Material type: BookSeries: CISM International Centre for Mechanical Sciences: 548Publisher: Vienna : Springer Vienna : Imprint: Springer, 2014Edition: 1.Description: IX, 165 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783709116227.Subject(s): Engineering | Probabilities | Fluids | Fluid mechanics | Engineering | Engineering Fluid Dynamics | Fluid- and Aerodynamics | Probability Theory and Stochastic ProcessesAdditional physical formats: Printed edition:: No titleDDC classification: 620.1064 Online resources: Click here to access online In: Springer eBooksSummary: Since their first introduction in natural sciences through the work of Einstein on Brownian motion in 1905 and further works, in particular by Langevin, Smoluchowski and others, stochastic processes have been used in several areas of science and technology. For example, they have been applied in chemical studies, or in fluid turbulence and for combustion and reactive flows.The articles in this book provide a general and unified framework in which stochastic processes are presented as modeling tools for various issues in engineering, physics and chemistry, with particular focus on fluid mechanics and notably dispersed two-phase flows. The aim is to develop what can referred to as stochastic modeling for a whole range of applications.Since their first introduction in natural sciences through the work of Einstein on Brownian motion in 1905 and further works, in particular by Langevin, Smoluchowski and others, stochastic processes have been used in several areas of science and technology. For example, they have been applied in chemical studies, or in fluid turbulence and for combustion and reactive flows.The articles in this book provide a general and unified framework in which stochastic processes are presented as modeling tools for various issues in engineering, physics and chemistry, with particular focus on fluid mechanics and notably dispersed two-phase flows. The aim is to develop what can referred to as stochastic modeling for a whole range of applications.
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