作者: A.M. Obukhov
DOI: 10.1016/S0065-2687(08)60098-9
关键词: Flow (mathematics) 、 K-epsilon turbulence model 、 Moment (mathematics) 、 Conditional probability distribution 、 Mathematics 、 Distribution function 、 Turbulent diffusion 、 Statistical physics 、 Function (mathematics) 、 Turbulence
摘要: Publisher Summary This chapter reviews that the method of describing turbulence in terms Lagrangian variables is giving statistical characteristics state an “indicator” system. The each indicator determined by its coordinate x and velocity v. consideration track a single may present valuable information on properties flow form distribution function φ(x, v). discusses it makes possible to obtain all one-point some turbulent diffusion also. description with two indicators similar leads double-distribution two-point related it. conditional φT(x, v) principal characteristic motion variables, such as probability selected particle, which at initial moment has xo vo, having after certain period time T