湍流条件下的粒子聚集非惯性模型

IF 1.3 3区 物理与天体物理 Q3 PHYSICS, MATHEMATICAL Journal of Statistical Physics Pub Date : 2025-03-25 DOI:10.1007/s10955-025-03437-6
Franco Flandoli, Ruojun Huang
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A Non-inertial Model for Particle Aggregation Under Turbulence

We consider an abstract non-inertial model of aggregation under the influence of a Gaussian white noise with prescribed space-covariance, and prove a formula for the mean collision rate R, per unit of time and volume. Specializing the abstract theory to a non-inertial model obtained by an inertial one, with physical constants, in the limit of infinitesimal relaxation time of the particles, and the white noise obtained as an approximation of a Gaussian noise with correlation time \(\tau _{\eta }\), up to approximations the formula reads \(R\sim \tau _{\eta }\left\langle \left| \Delta _{a}u\right| ^{2}\right\rangle a\cdot n^{2}\) where n is the particle number per unit of volume and \(\left\langle \left| \Delta _{a}u\right| ^{2}\right\rangle \) is the square-average of the increment of random velocity field u between points at distance a, the particle radius. If we choose the Kolmogorov time scale \(\tau _{\eta }\sim \left( \frac{\nu }{\varepsilon }\right) ^{1/2}\) and we assume that a is in the dissipative range where \(\left\langle \left| \Delta _{a}u\right| ^{2}\right\rangle \sim \left( \frac{\varepsilon }{\nu }\right) a^{2}\), we get Saffman–Turner formula for the collision rate R.

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来源期刊
Journal of Statistical Physics
Journal of Statistical Physics 物理-物理:数学物理
CiteScore
3.10
自引率
12.50%
发文量
152
审稿时长
3-6 weeks
期刊介绍: The Journal of Statistical Physics publishes original and invited review papers in all areas of statistical physics as well as in related fields concerned with collective phenomena in physical systems.
期刊最新文献
Implementing Bogoliubov Transformations Beyond the Shale–Stinespring Condition A Non-inertial Model for Particle Aggregation Under Turbulence Entropy-Driven Dimerization Quasi-Stationary Distributions of Non-Absorbing Markov Chains Symmetry Classes of Classical Stochastic Processes
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