Non-perturbative Methods in Statistical Descriptions of Turbulence
Author | : Jan Friedrich |
Publisher | : Springer Nature |
Total Pages | : 173 |
Release | : 2020-09-25 |
ISBN-10 | : 9783030519773 |
ISBN-13 | : 3030519775 |
Rating | : 4/5 (775 Downloads) |
Download or read book Non-perturbative Methods in Statistical Descriptions of Turbulence written by Jan Friedrich and published by Springer Nature. This book was released on 2020-09-25 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.