Non-perturbative Methods in Statistical Descriptions of Turbulence (Paperback, 1st ed. 2021)

This book provides a comprehensive overview of statistical descriptions of turbulent flows. Its main objectives are to point out why ordinary perturbative treatments of the Navier-Stokes equation have been rather futile, and to present recent advances in non-perturbative treatments, e.g., the instanton method and a stochastic interpretation of turbulent energy transfer. After a brief introduction to the basic equations of turbulent fluid motion, the book outlines a probabilistic treatment of the Navier-Stokes equation and chiefly focuses on the emergence of a multi-point hierarchy and the notion of the closure problem of turbulence. Furthermore, empirically observed multiscaling features and their impact on possible closure methods are discussed, and each is put into the context of its original field of use, e.g., the renormalization group method is addressed in relation to the theory of critical phenomena. The intended readership consists of physicists and engineers who want to get acquainted with the prevalent concepts and methods in this research area.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Progress in Turbulence - Fundamentals and Applications, 1
Release date:	September 2021
First published:	2021
Authors:	Jan Friedrich
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	164
Edition:	1st ed. 2021
ISBN-13:	978-3-03-051979-7
Categories:	Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Science & Mathematics > Mathematics > Applied mathematics > Non-linear science Books > Science & Mathematics > Physics > Classical mechanics > Fluid mechanics Books > Professional & Technical > Mechanical engineering & materials > Materials science > Mechanics of solids > Dynamics & vibration Books > Professional & Technical > Mechanical engineering & materials > Materials science > Mechanics of fluids > General
LSN:	3-03-051979-1
Barcode:	9783030519797

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