Thursday, October 30, 2014 3:30 pm

3:30 pm
EDT (GMT 04:00)
DC 1304
Speaker
Dr.
Alexander
Gurevich
Engineering
Scientist,
Advanced
Measurement
and
Analysis
Group
Inc.
Title
Mathematical Model of SpaceTime Development of Turbulent Structures, in Application to Flow Measurement
Abstract
Spacetime
development
of
a
turbulent
velocity
field,
is
an
important
subject
in
fluid
dynamics,
and
the
study
of
turbulence
dynamics
is
important
in
many
scientific
fields.
One
application,
is
a
method
of
flow
measurement
called
Cross
Correlation
Flow
Measurement,
which
is
based
on
measuring
the
transport
velocity
of
turbulent
structures.
Cross
correlation
flow
measurement
has
many
advantages
over
more
typically
used
flow
measurement
methods,
but
requires
higher
computational
power.
Advances
in
computer
technology
in
recent
decades
have
lead
to
wider
use
of
this
technology.
The
Canadian
company
Advanced
Measurement
and
Analysis
Group
Inc.,
(AMAG)
is
a
developer
and
manufacturer
of
the
cross
correlation
flow
meter
CROSSFLOW,
and
provides
cross
correlation
flow
measurement
services
to
nuclear
power
plants
around
the
world.
In
2009,
AMAG
and
De
Montfort
University
(DMU),
UK,
initiated
a
joint
project
to
develop
a
mathematical
model
of
cross
correlation
flow
measurement.
A
mathematical
model
of
cross
correlation
flow
measurement
was
developed,
based
on
analysis
of
spacetime
development
of
a
velocity
field
and
vorticity
field
in
turbulent
flow.
Laboratory
testing
was
conducted
to
validate
the
model.
Results
of
numerical
simulations
based
on
the
model
were
in
good
agreement
with
laboratory
test
results.
The
mathematical
model
and
numerical
simulation
method
developed
as
part
of
this
research,
can
be
used
to
study
how
turbulent
properties
and
times
averaged
properties
within
a
flow,
effect
the
spacetimes
development
of
turbulent
structures.
This
presentation
will
give
a
brief
description
of
cross
correlation
flow
measurement,
and
its
applications.
The
focus
of
the
presentation
will
be
on
the
developed
mathematical
model
and
numerical
simulations,
and
their
applicability
to
various
mathematical
and
scientific
problems.