• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • A
  • A
  • A
  • A
  • A
Обычная версия сайта
  • RU
  • EN
  • HSE University
  • Publications
  • Book chapter
  • Maxwell Velocity Distribution for a Stochastic Ensemble of Thermals in a Turbulent Convective Mixed-Layer: Kinetic Approach
  • RU
  • EN
Расширенный поиск
Высшая школа экономики
Национальный исследовательский университет
Priority areas
  • business informatics
  • economics
  • engineering science
  • humanitarian
  • IT and mathematics
  • law
  • management
  • mathematics
  • sociology
  • state and public administration
by year
  • 2027
  • 2026
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • 2009
  • 2008
  • 2007
  • 2006
  • 2005
  • 2004
  • 2003
  • 2002
  • 2001
  • 2000
  • 1999
  • 1998
  • 1997
  • 1996
  • 1995
  • 1994
  • 1993
  • 1992
  • 1991
  • 1990
  • 1989
  • 1988
  • 1987
  • 1986
  • 1985
  • 1984
  • 1983
  • 1982
  • 1981
  • 1980
  • 1979
  • 1978
  • 1977
  • 1976
  • 1975
  • 1974
  • 1973
  • 1972
  • 1971
  • 1970
  • 1969
  • 1968
  • 1967
  • 1966
  • 1965
  • 1964
  • 1963
  • 1958
  • More
Subject
News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Publications
  • Books
  • Articles
  • Chapters of books
  • Working papers
  • Report a publication
  • Research at HSE

?

Maxwell Velocity Distribution for a Stochastic Ensemble of Thermals in a Turbulent Convective Mixed-Layer: Kinetic Approach

P. 238–247.
Vulfson A. N., Borodin O. O.

In this paper, we develop a stochastic model of an ensemble of convective eddies that produces an equilibrium velocity distribution of thermals. In the model, mixed-layer thermals are assumed to possess identical buoyancy and are considered as rigid balls of constant radii. The motion of an ensemble of convective eddies is described using a Langevin equation with a nonlinear dissipative force and a random force whose structure is known for an ensemble of Brownian particles. It is shown that the probability density of an ensemble of thermals satisfies the K-form of the kinetic Fokker-Planck equation with variable coefficients. The Maxwell equilibrium velocity distribution of convective thermals is constructed as a stationary solution of the Fokker-Planck equation. It is shown that the Maxwell velocity distribution well approximates experimental distributions in the turbulent convective mixed-layer.

Language: English
Full text
Keywords: stochastic ensemble of convective thermalsFokker-Planck equationnonlinear Langevin equationMaxwell velocity distribution

In book

Procedia IUTAM
Procedia IUTAM
Vol. 8: IUTAM Symposium on Waves in Fluids: Effects of Nonlinearity, Rotation, Stratification and Dissipation. , Amsterdam: Elsevier, 2013.
Similar publications
High-Order Non-uniform Grid Scheme for Numerical Analysis of Singularly Perturbed Fokker-Planck Equation
Rukavishnikov A., Васильев С. А., Мукасеев Е. В. et al., Lecture Notes in Networks and Systems 2023 Vol. 934 P. 235–244
Added: May 15, 2024
Synchronization on star graph with noise
Alexandrov A., Chaos, Solitons and Fractals 2023 Vol. 167 P. 113056
Added: December 28, 2023
Self-Organized Criticality on Twitter: Phenomenological Theory and Empirical Investigation Based on Data Analysis Results
Dmitriev A., Dmitriev V., Balybin S., Complexity 2019 Vol. 2019 No. Article ID 8750643 P. 1–16
Recently, there has been an increasing number of empirical evidence supporting the hypothesis that spread of avalanches of microposts on social networks, such as Twitter, is associated with some sociopolitical events. Typical examples of such events are political elections and protest movements. Inspired by this phenomenon, we built a phenomenological model that describes Twitter’s self-organization ...
Added: January 22, 2020
Three-Parameter Kinetics of Self-organized Criticality on Twitter
Dmitriev V., Dmitriev A., Maltseva S. V. et al., , in: Studies in Computational Intelligence (Complex Networks and Their Applications VIII)* 2. Vol. 881: Complex Networks and Their Applications VIII.: Springer, 2020. Ch. 881 P. 556–565.
A kinetic model is proposed to describe the self-organized criticality on Twitter. The model is based on a fractional three-parameter self-organization scheme with stochastic sources. It is shown that the adiabatic regime of self- organization to the critical state is determined by the coordinated action of a relatively small number of network users. The model ...
Added: January 9, 2020
Brownian ensemble of random-radius buoyancy vortices and Maxwell velocity distribution in a turbulent convective mixed-layer
Vulfson A., Borodin O., Physics of Fluids 2018 Vol. 30 No. 9 Article 095103
The stochastic ensemble of convective thermals (vortices), forming the fine structure of a turbulent convective atmospheric layer, is considered. The proposed ensemble model assumes all thermals in the mixed-layer to have the same determinate buoyancies and considers them as solid spheres of variable volumes. The values of radii and vertical velocities of the thermals are assumed random. The motion ...
Added: October 30, 2018
System of convective thermals as a generalized ensemble of Brownian particles
Vulfson A. N., Borodin O. O., Physics-Uspekhi 2016 Vol. 59 No. 2 P. 109–120
The system of thermals that makes the fine structure of a turbulent convective layer of a fluid is considered. A simplified probabilistic-geometrical approach is outlined that uses measurements along the observation line to determine the average in-plane parameters of the system. A dynamic equation for an isolated thermal interacting with its environment is derived. A ...
Added: September 8, 2016
Maxwell Velocity Distribution for a Stochastic Ensemble of Thermals in a Turbulent Convective Mixed-Layer: Kinetic Approach
Vulfson A. N., Borodin O. O., Procedia IUTAM 2013 Vol. 8 P. 238–247
In this paper, we develop a stochastic model of an ensemble of convective eddies that produces an equilibrium velocity distri- bution of thermals. In the model, mixed-layer thermals are assumed to possess identical buoyancy and are considered as rigid balls of constant radii. The motion of an ensemble of convective eddies is described using a ...
Added: March 31, 2014
Procedia IUTAM
Amsterdam: Elsevier, 2013.
The collection is devoted to articles on turbulence hydrodynamics, waves in liquid, to effects of rotation and dissipation. ...
Added: March 25, 2014
  • About
  • About
  • Key Figures & Facts
  • Sustainability at HSE University
  • Faculties & Departments
  • International Partnerships
  • Faculty & Staff
  • HSE Buildings
  • HSE University for Persons with Disabilities
  • Public Enquiries
  • Studies
  • Admissions
  • Programme Catalogue
  • Undergraduate
  • Graduate
  • Exchange Programmes
  • Summer University
  • Summer Schools
  • Semester in Moscow
  • Business Internship
  • Research
  • International Laboratories
  • Research Centres
  • Research Projects
  • Monitoring Studies
  • Conferences & Seminars
  • Academic Jobs
  • Yasin (April) International Academic Conference on Economic and Social Development
  • Media & Resources
  • Publications by staff
  • HSE Journals
  • Publishing House
  • iq.hse.ru: commentary by HSE experts
  • Library
  • Economic & Social Data Archive
  • Video
  • HSE Repository of Socio-Economic Information
  • HSE1993–2026
  • Contacts
  • Copyright
  • Privacy Policy
  • Site Map
Edit