BEGIN:VCALENDAR
VERSION:2.0
CALSCALE:GREGORIAN
PRODID:iCalendar-Ruby
BEGIN:VEVENT
CATEGORIES:Seminar
DESCRIPTION:Abstract: Heavy particles suspended in an incompressible turbu
lent flow form a turbulent aerosol. Understanding the dynamics of particles
in turbulent aerosols is important for a wide range of systems\, such as d
roplet growth in turbulent rain clouds and planet formation in accretion di
sks. Laboratory experiments and numerical simulations show that if the iner
tia of the aerosol particles is significant\, then the particles respond in
intricate ways to turbulent fluctuations of the carrying fluid: non-intera
cting particles may cluster together and form spatial patterns even though
the fluid is incompressible\, and the relative speeds of nearby particles c
an fluctuate strongly. Both these phenomena depend sensitively on the parti
cle inertia\, and they both affect collision rates and collision outcomes i
n the turbulent aerosol. Understanding the collision mechanisms in a turbul
ent aerosol is important to determine the long-term stability of the turbul
ent aerosol. But due to the complicated nature of turbulence\, it is hard t
o model from first principles the dependence of collision statistics on the
particle inertia and other parameters of the system.\n\n\nIn recent years
it has become clear that important aspects of the dynamics of heavy particl
es in turbulence can be understood in terms of statistical models\, where t
he turbulent fluctuations are approximated by Gaussian random functions wit
h appropriate correlation functions. In this talk I describe in what limits
we may expect simulations of inertial particles in the statistical-model t
o give a qualitative agreement with direct numerical simulations or experim
ents of particles in turbulence. An advantage in strudying statistical mode
ls is that they are tractable for analytical calculations. I describe some
of the analytical results we have obtained in the statistical model\, and w
hat these results can tell us about particles in turbulence.
DTEND:20170221T180000Z
DTSTAMP:20180619T023628Z
DTSTART:20170221T170000Z
GEO:42.443451;-76.481506
LOCATION:Frank H. T. Rhodes Hall\, 178
SEQUENCE:0
SUMMARY:CFSeminar: Kristian Gustafsson (University of Gothenburg\, Sweden)\
, "Statistical Models of Turbulent Aerosols"
UID:tag:localist.com\,2008:EventInstance_2649650
URL:http://events.cornell.edu/event/cfseminar_robert_chiodi_cornell_univers
ity_the_simulation_of_planar_air_blast_atomization
END:VEVENT
END:VCALENDAR