Deep reinforcement learning (DRL) has been applied to a variety of problems during the
past decade and has provided effective control strategies in high-dimensional and non …

We review wall-bounded turbulent flows, particularly high–Reynolds number, zero–pressure
gradient boundary layers, and fully developed pipe and channel flows. It is apparent that the …

Page 1 研究生力学丛书Mechanics Series for Graduate Students 湍流理论与模拟 Theory and
Modeling of Turbulence 张兆顺崔桂香许春晓著 Zhang Zhaoshun Cui Guixiang Xu Chunxiao …

Considerable confusion surrounds the longstanding question of what constitutes a vortex,
especially in a turbulent flow. This question, frequently misunderstood as academic, has …

1. Introduction to parts I—III. Two separate developments in recent years have altered the
basic statistical framework of turbulence established by Taylor [1], From the laboratory there …

The classic textbook from Pijush Kundu, Fluid Mechanics, has been once again revised and
updated by Dr. David Dowling and Dr. Jesse Capecelatro to better illustrate this important …

▪ Abstract We review the direct numerical simulation (DNS) of turbulent flows. We stress that
DNS is a research tool, and not a brute-force solution to the Navier-Stokes equations for …

Turbulence is the customary state of flow in all large-scale fluid systems relevant to
engineering, environmental, or geophysical problems. However, this fact is barely reflected …

Often, people, in some unjustified fear of physics, say you can't write an equation for life.
Well, perhaps we can. As a matter of fact, we very possibly already have the equation to a …

In spite of its universality, mixing is poorly understood and generally speaking, mixing
problems are attacked on a case-by-case basis. This is the first book to present a unified …