18
Mechanical
shock
- The
need
to
compare
two
functions.
The
Fourier variable
is a
complex quantity
which
thus requires
two
parameters
for its
complete description:
the
real part
and the
imaginary part (according
to the frequency) or the
amplitude
and the
phase. These
curves
in
general
are
very little smoothed and, except
in
obvious
cases,
it is
difficult
to
decide
on the
relative severity
of two
shocks
according
to frequency
when
the
spectrum overlap.
In
addition,
the
phase
and the
real
and
imaginary parts
can
take
positive
and
negative values
and are
thus
not
very easy
to use to
establish
a
specification;
- The
signal obtained
by
inverse transformation
has in
general
a
complex
form
impossible
to
reproduce with
the
usual test facilities, except, with certain limitations,
on
electrodynamic shakers.
The
Fourier transform
is
used neither
for the
development
of
specifications
nor
for
the
comparison
of
shocks.
On the
other hand,
the
one-to-one relation property
and
the
input-response relation [1.40] make
it a
very interesting tool
to
control
shaker shock whilst calculating
the
electric signal
by
applying these means
to
reproduce
with
the
specimen
a
given acceleration profile,
after
taking into account
the
transfer
function
of the
installation.
1.4.
Practical calculations
of the
Fourier transform
1.4.1.
General
Among
the
various possibilities
of
calculation
of the
Fourier transform,
the
Fast
Fourier
Transform
(FFT) algorithm
of
Cooley-Tukey
[COO
65] is
generally used
because
of its
speed (Volume
3). It
must
be
noted that
the
result issuing
from
this
algorithm must
be
multiplied
by the
duration
of the
analysed signal
to
obtain
the
Fourier transform.
1.4.2.
Case: signal
not yet
digitized
Let us
consider
an
acceleration time history x(t)
of
duration
T
which
one
wishes
to
calculate
the
Fourier transform with
n
FT
points (power
of 2)
until
the frequency
f
max
.
According
to the
Shannon's theorem (Volume
3), it is
enough that
the
signal
is
sampled with
a frequency
f
samp
= 2
f
max
,
i.e. that
the
temporal step
is
equal
to
The frequency
interval
is
equal
to