CAE 334/502 Lecture 2a, Spring 2014

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    2/16/2014 CAE 334/502 - Week 1 1

    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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