CAE 334/502 Lecture 2a, Spring 2014
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Transcript of CAE 334/502 Lecture 2a, Spring 2014
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8/12/2019 CAE 334/502 Lecture 2a, Spring 2014
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CAE 334/502Lecture 2b
Simple Sources, Sound Levels of SimpleSources,
Acoustic Spectra, Frequency Bands
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Objectives
Understand fundamental sound sources Understand the sound level relations for
simple sources
Understand the concept of an acoustic
spectrum
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Sources of SoundThere are three basic types of sound sources that we
use in acousticsnearly every real source isapproximated by one of these:
Point Source A source that is small in all dimensions compared to the
measurement distance From far away all sources act like point sources
Line Source A source that is long in one dimension compared to the
measurement distance Long trains, lines of traffic, long HVAC ducts
Plane Source A source that is long in two dimensions compared to the
measurement distance Close to large surfaces such as walls, windows, doors
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The Point Source A source that is small in all dimensions
compared to the measurement distance is calleda point source. The source can be considered to be a single point at
the center of the radiating object.
Sound energy from a point source spreads spherically
as it moves away from the source
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Omnidirectional Point Source
If the source radiates power equally in alldirections, we call it an omnidirectional pointsource The intensity will be constant on any sphere
surrounding the source and the area of a sphere is
S=4
r
2
so we can write
This is known as the inverse square law or law ofspherical spreading
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omni 2 2
1( ) 10log
4 4I W
W WI r L L
S r r
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The Far and Near Field
When we are far enoughaway from a source thatspherical spreadingoccurs and the sourcelooks like a point source,
we are said to be in thefar field.
When we are very close
to the source, sphericalspreading does not occurand we are said to be inthe near field. log r
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Free and Reverberant Field The region of the far field where reflections can be
ignored is called the free field. The region of the far field where reflections cannot be
ignored is called the reverberant field
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Most rooms
have a
reverberantfield far from
the source
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Waves from a Point Source
The waves that emanate from a point sourceare spherical and close to the source there is
much curvature to the waves.
But, far from the source the curvature is small
and so the waves turn into plane waves
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Initially
Spherical
Turn into
Plane Waves
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Point Source Sound Pressure Level
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2
0
0
2
2
10log400 4
110log
4
20log
0.1 dB ( in m)
10.5 ( in ft)
11 ( in m)
0.5 ( in ft)
For a point source, (like for a plane wave) so
and with
or
Notice that dro
rms
p I
p W
p W
p
r
r
r
r
pI
c
c WL L I
r
L Lr
L L r
L
ps 6 dB for every doubling of r
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Directional Point Sources
While energy from a non omnidirectional point source
spreads spherically, it is not necessarily the same in all
directions
We characterize this directionality by adding Q(,) to the
power-intensity relation.
When Q >1, more energy goes that way, if Q
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Directional Point Source Level
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2
2
,,
4
,, 10log4
, , 20log
0.1 dB ( in m)
10.5 ( in ft)
11 ( in m)0.5 ( in ft)
For a directional point source:
so
or
p W
p W
r
r
rr
WQI
r
QL Lr
L L D r
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Line or Cylindrical Source Sometimes a source is too big
in one dimension to look like apoint and instead looks like aline A long train or line of traffic
cars,
Sound from the sides of a longHVAC duct
We call this a line or cylindricalsource
At a distance rfrom a linesource of lengthL and power W,Iwill be given by:
This is called the Inverse Law orCylindrical Spreading
For a cylindrical source thesound pressure is then relatedto the sound power level by
2cyl
WI
r L
110log
2
10log
p W
p W
p
r
r
r
r
L L
rL
L L rL
L r
0.1 ( in m)
10.5 ( in ft)
11 ( in m)
0.5 ( in ft)
drops 3 dB for every doubling of
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Planar Source A general equation
relatingIto W at a
distancezfrom planar
source of area Sand
directionality Q is
GetLpfromLpLI
Far from the source
zterm dominates and
plane acts like a point
source
Close to the source
zterm is negligible and
the intensity is constant
with distance
2
4
4
WQI
SQz
24
WQI
z
WI
S
I(z)
z
Plane Area S
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Change in level from r1to r2
Point Source
For r2= 2r1, DLp= - 6 dB, a 6db drop per doubling of
distance
Line Source
For r2= 2r1, DLp,line= - 3 dB, a 3db drop per doubling ofdistance
2
1 1
2
2 2
1,
2
10 log 20 log
10log
p
p line
r rL
r r
rL
r
D
D
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Example 2.6
The sound pressure level of an omni-directional source is measured to be 80 dB
at a distance of 1m from its center.
A) What is the sound level at a distance of 5 m
B) What is the object sound power?
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Example 2.6 The sound pressure level of an omni-directional
source is measured to be 80 dB at a distance of1m from its center.
A) What is the sound level at a distance of 5 m
B) What is the object sound power?
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1
2
,2 ,1
2
0.1( 120)
120 log 20 log 145
80 14 66
1 110 log 80 10 log 914 4
10 1.3
dB
dB
dB
mWW
p
p p p
W p
L
rLr
L L L
L Lr
W
D
D
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Tonal and Broadband Sources
Most sound sources are not pure tones Tonal sources combine distinct strong tones
Voice and most musical instruments
Tonal characteristics change quickly in time
Rotating machinery Tones related to rotation rates and gear ratios
Broadband sources have no distinct strong tones
Flow induced hisses, Wind and Surf noise
The plot of energy or amplitude vs frequency
is called the spectrumof a source
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Broadband and Tonal Spectra
Broadband
Tonal
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Tonal Sources
The base frequency is called fundamental or 1stharmonic
Higher multiples are called overtones or the higher harmonics
(2nd, 3rd)
For rare sources the overtones might not be not direct multiples
(i.e. are not harmonic)
The spectrum has distinct peaks that indicate the fundamentaland the overtones of the source
Brain picks these out and a tonal noise is usually more annoying
than a broadband noise of the same level
Musical Instruments are examples of tonal sounds
The relative amplitude and phase (time synchronization) of theovertones determines the sound or timbre (pronounced tamber) of
the instrument
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Fourier Analysis
The mathematician/physicist Joseph Fourier
showed that all periodic signals can be describedby a superposition of a fundamental andharmonics of varying amplitudes and phases Fourier synthesis was the basis of all early electronic
synthesizers
This concept was extended to include non-periodicsignals as well, which are described a continuoussmear of frequencies and are analyzed using integrals(the Fourier Transform)
Fourier analyzers which compute the spectrumusing Fourier Transforms are some of the mostimportant tools used in acoustics and vibration
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Fourier Transform
The Fourier Transform is used to obtain thespectrum from a general time signal by
correlating (multiplying and averaging) the
time signal with a complex exponential of a
given frequencythe result is the spectralamplitude (i.e. amount of energy) at that
frequency:
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( ) ( ) j tP p t e dt
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Middle C (262 Hz) for 4 Instruments
Spectra (amplitude vs frequency)
1000 2000 3000 4000
-60
-40
-20
0
Trumpet
1000 2000 3000 4000
-60
-40
-20
0
Clarinet
1000 2000 3000 4000
-60
-40
-20
0
Flute
1000 2000 3000 4000
-60
-40
-20
0
Organ
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Middle C (262 Hz) for 4 Instruments
Spectra (amplitude vs frequency)
1000 2000 3000 4000
-60
-40
-20
0
Trumpet
1000 2000 3000 4000
-60
-40
-20
0
Clarinet
1000 2000 3000 4000
-60
-40
-20
0
Flute
1000 2000 3000 4000
-60
-40
-20
0
Organ
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0 500 1000-0.5
0
0.5Trumpet
0 200 400-0.5
0
0.5Clarinet
0 200 400-0.5
0
0.5Flute
0 200 400-0.5
0
0.5Organ
Middle C for Different Instruments
Amplitude Vs Time
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Band Analysis
The audible frequency range is too big Webreak it into regions called bands defined bytheir lower frequency,fL, upper frequency,fU, and center frequencyfC
fCis the geometric mean offLandfU
Power quantities are computed as totalenergy in the bands Total W, I, and p2nottotal LW, LI, or Lp Totalnot average. As bands get wider, band
levels increase
C L Uf f f
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Octave Bands
Octave bands have center frequencies that
differ by an octave which is a factor of 2
The standardized octave band centerfrequencies (defined in ANSI S1.6) are at 16,31.5, 63, 125, 250, 500, 1 k, 2 k, 4 k, 8 k, 16kHz The six bands from 125 Hz to 4 kHz are the most
used Arch. ACS
Just remember there is a band at 1kHz and work
from that.
See Table 2.1 of LAA for the upper, lower, and centerfrequencies for octave bands
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Octave Band Analysis Filters
Below is a plot of the spectrum of some of the
standard octave band filters used in acoustics
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125 250 500 1000 2000 4000
-80
-60
-40
-20
0
f [Hz]
A
ttenuation
[dB
]
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1/nth octave bands
For a 1/nth octave band the center
frequencies differ by a factor of 21/n
fL=fC*2-1/2n fU=fC*2
1/2n
Octave bands have n=1
1/3 octave bands which have n=3
1/3 octave bands are used when higherresolution is needed
See Table 2.1 of LAA for the upper, lower, and centerfrequencies for 1/3 octave bands
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Narrowband Analysis
With the advent of microprocessors it became
practical to determine frequency spectra of
signals using Fourier Analysis
Fourier Analysis gives rise naturally to narrow
bands of equal width (something like 1 Hz, 2 Hz,5 Hz, etc). Because these are narrow, this is
usually called narrowband analysis
The important thing to note is that narrow-bands
are of equal frequency width at all frequencies
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Combining Band Levels
Bands combine as incoherent sources
Converting 1/3 to Octave bands (OB)
Convert three 1/3 OB levels toI orW, add the three and
then convert the sum back to a level
OB level will always be higher than 1/3 OB levels
Combine octave bands to single number
Convert octave bands toI orW,add, convert back
This level is what a simple sound level meter would read
Combine narrowband values within each nth octave
to get the octave band levels the same way
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Example 2.7
The sound pressure level of a source is
measured in the 16 Hz to 8 kHz octave bands
as below.
What is the overall, broadband, sound
pressure level?
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16 31.5 63 125 250 500 1000 2000 4000 8000
Lp 72 68 50 46 39 35 31 27 25 25
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Example 2.7
Lp,total= 73.5 dB
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16 31.5 63 125 250 500 1000 2000 4000 8000
Lp 72 68 50 46 39 35 31 27 25 25
Lp/10 7.2 6.8 5.0 4.6 3.9 3.5 3.1 2.7 2.5 2.5
0.1,
1
7.2 6.8 5.0 2.5 2.5
,
10log 10
10log 10 10 10 10 10 73.5 dB
i
N
Lp total
i
p total
L
L
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Band Analysis Example
Let us look at an octave, 1/3 octave and
narrow band spectrum for the same sound.
What can we tell about the source as we look
at each?
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Analysis Example
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125 250 500 1000 2000 4000 800020
30
40
50
60
70
80
f [Hz]
Lp
[dBr
e20
Pa]
Spectrum
Octave
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Analysis Example
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125 250 500 1000 2000 4000 800020
30
40
50
60
70
80
f [Hz]
Lp
[dBr
e20
Pa]
Spectrum
1/3 Octave
Octave
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Analysis Example
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125 250 500 1000 2000 4000 800020
30
40
50
60
70
80
f [Hz]
Lp
[dBr
e20
Pa]
Spectrum
Narroband
1/3 Octave
Octave
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What is it?
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Its a Vacuum Cleaner
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125 250 500 1000 2000 4000 800020
30
40
50
60
70
80
f [Hz]
Lp
[dBr
e20
Pa]
Spectrum
Narroband
1/3 Octave
Octave
-
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Use of wide frequency bands limits accuracy Tonal characteristics of sound are lost in summation or
averaging and very different sounds can have identical
octave band levels
What is the difference between the sounds?
They both appear to be broadband as they have equalpower in each octave band
Limitations of Octave Band Analysis
Sound 1 Sound 2
125 250 500 1000 2000 40000
20
40
f [Hz]
Power[dB]
Octave spectrum
125 250 500 1000 2000 40000
50
100
f [Hz]
Power[dB]
c ave spec rum
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With 1/3 octave band analysis we can see that sound1 has tones and sound 2 still has equal power in
each 1/3 octave band so its broadband
Limitations of Octave Band Analysis
Sound 1 Sound 2
0
20
40
Power[dB]
One-third-octave spectrum
125 250 500 1000 2000 40000
20
40
f [Hz]
Po
wer[dB]
Octave spectrum
0
50
100
Power[dB]
One-third-octave spectrum
125 250 500 1000 2000 40000
50
100
f [Hz]
Power[dB]
Octave spectrum
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With narrowband analysis we can see that Sound 1 istonal and Sound 2 is pink noise with a 1/f spectrum,
which gives equal power in all 1/nthoctave bands
(hence the flat 1/3 octave and octave band spectra)
Limitations of Octave Band Analysis
Tonal Pink Noise
0
20
40Tone Mix Narrowband Spectrum
Power[dB]
0
20
40
Power[dB]
One-third-octave spectrum
125 250 500 1000 2000 40000
20
40
f [Hz]
Power[dB]
Octave spectrum
0
20
40Narrowband Spectrum
Power[dB]
0
50
100
Power[dB]
One-third-octave spectrum
125 250 500 1000 2000 40000
50
100
f [Hz]
Power[dB]
Octave spectrum
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Three Broadband Noises
White Noise
Equal energy at each frequency which means
narrowband spectra is flat, octave band rises
Sounds quite hissy
Pink Noise Equal energy in each band which means flat
octave band spectra, falling narrowband
Sounds like rain or surf noise
Brown Noise Octave band energy drops 3db per octave
Sound like thunder or waterfall
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For Next Time
Read Chapter 3 of LAA
Reach Chapter 2 as well if you havent already
HW #1 Due
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