rensselaer noise: quantification and perception architectural acoustics ii february 11, 2008
TRANSCRIPT
Ren
ssel
aer
Noise: Quantification and Perception
Architectural Acoustics II
February 11, 2008
Ren
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Symphony Hall, Boston
Ren
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Symphony Hall, Boston
http://www.nytimes.com/2007/06/03/arts/music/03kram.html
http://www.allposters.com/-sp/Symphony-Hall-Boston-MA-Posters_i1119076_.htm
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Symphony Hall, Boston
http://upload.wikimedia.org/wikipedia/commons/thumb/5/57/Symphony_hall_boston.jpg/800px-Symphony_hall_boston.jpg
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Symphony Hall, Boston
From Beranek, Concert and Opera Halls: How They Sound
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Outline
• Measuring noise Sound-level meters Noise metrics Speech intelligibility metrics using noise levels
• Basic noise control concepts
• Intensity measurements
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Sound Level Meters
• Time constants Given a sound raised instantaneously to an
SPL of L, the meter should display (L – 2) dB within one time constant.
Why 2 dB? If SPL L has energy E, the meter registers (1 – 1/e)·E in one time constant.
e = 2.718, 10log10(1-1/e) = -2
• Time Response Slow: Time constant = 1 sec Fast: Time constant = 125 ms Impact: Time constant = 35 ms rising,
1.5 sec falling
Image from www.bk.dk, B&K 2260 Investigator
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Sound Level Meters
• Frequency Response Linear, A-weighted,C-weighted Full bandwidth, 1/1-octave, 1/3-octave
• Classes (ANSI S1.4-1983) 0 (Laboratory): ±0.2 dB, 22.4 – 11200 Hz 1 (Precision): ±0.5 dB, 22.4 – 11200 Hz 2 (General Purp.): ±0.5 dB, 63.0 – 2000 Hz
±1.0 dB, 22.4 – 11200 Hz
• Orientation For free-field measurements, point the meter at the
noise source (normal incidence) For diffuse-field measurements, the meter orientation
is not too important (random incidence)Image from www.bk.dk, B&K 2260 Investigator
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A-Weighting Review
Octave-Band Center
Frequency (Hz)31.5 63 125 250 500 1k 2k 4k 8k 16k
A-Weighting Adjustment
(dB)-39 -26 -16 -9 -3 0 +1 +1 -1 -7
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C-Weighting
Octave-Band Center
Frequency (Hz)31.5 63 125 250 500 1k 2k 4k 8k 16k
C-Weighting Adjustment
(dB)-3 -1 0 0 0 0 0 -1 -3 -8
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From dB(A) to NC/RC
• dB(A) is typically insufficient to describe interior noise conditions (no spectral information)
• NC (Noise Criterion) and RC (Room Criterion) metrics were developed to better describe interior noise, specifically that generated by mechanical systems
• These metrics better approximate the human response to various noise spectra and provide us with more detailed analysis information
From Paul Henderson
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Noise Criterion (NC)• Single number rating based on octave band levels
• 63 Hz to 8,000 Hz frequency range
• Compare measured spectra with NC curves (tangent basis)
• 5 point resolution (NC-15 to NC-65)
From Paul Henderson and MJR Fig. 8.2
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Calculating the NC Rating
From Paul Henderson
• The NC Rating is the lowest NC curve that lies entirely above all measured data points
• In this example, the noise is NC-40, and it is limited by the 500 Hz octave band
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Limitations of the NC Rating
• Provides no limits to low frequency noise below the 63 Hz octave band
• Permits excessive high frequency noise above 2,000 Hz
• Provides no information on spectrum balance or sound quality
From Paul Henderson
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Room Criterion
• Introduced in 1981, approved by ASHRAE in 1995• Two-parameter rating based on octave band levels• 16 Hz to 4,000 Hz octave band range• First parameter is the SIL(3) (arithmetic average of
noise levels in the 500, 1k, and 2k Hz octave bands)• Second parameter is a sound quality rating (Hissy,
Neutral , Rumbly, Tonal, Vibration)
From Paul Henderson
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Room Criterion
MJR, Figure 8.3, p. 165
• Each line has a -5 dB per octave slope
• The RC-X line crosses X dB at 1000 Hz
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Finding the RC Limit Curve
• Draw an RC line ( ) with slope -5 dB/oct that intersects the 1000 Hz band at the SIL(3)
• The limit curve (- - -) is 5 dB above the RC line at and below 500 Hz and 3 dB above the RC line at and above 1000 Hz
SIL(3) = (43+36+29)/3 = 36 dB
0
10
20
30
40
50
60
70
80
16 31 63 125 250 500 1000 2000 4000
Octave-Band Center Frequency (Hz)
Sou
nd P
ress
ure
Lev
el (dB)
RC-36
From Paul Henderson
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Determine the RC Quality Rating
0
10
20
30
40
50
60
70
80
16 31 63 125 250 500 1000 2000 4000
Octave-Band Center Frequency (Hz)
Sou
nd P
ress
ure
Lev
el (dB)
• (R) for rumbly if data exceeds limit curve at or below 500 Hz
• (H) for hissy if data exceeds limit curve at or above 1000 Hz
• (N) for neutral if spectrum is below limit curve
• (T) for tone if audible (any one band is at least 5 dB above both of its neighboring bands)
• (V) for noise induced vibrations in light-weight structures (above 75 dB at 16 or 31 Hz, 80 dB at 63 Hz)
From Paul Henderson
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Other Noise Metrics
• Balanced Noise Criterion (NCB)
• Proposed by Beranek in 1989
• Extend lower in frequency than original NC curves
• More stringent at high frequencies than original NC curves
• Similar quality ratings (e.g. rumbly and hissy) to RC rating system
http://ceae.colorado.edu/~muehleis/classes/aren4020/handouts/lecture24/nc_rc.pdf
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Other Noise Metrics
• Room Criterion Mark II
• Proposed by Blazier in 1997
• More stringent at low frequencies than the original RC curves
• Uses a Quality Assessment Index (deviations from RC curve in low, mid, and high frequencies) to qualify the numeric rating
http://ceae.colorado.edu/~muehleis/classes/aren4020/handouts/lecture24/nc_rc.pdf
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Blazier and RC Mark II• Three factors influence the subjective response
to HVAC-related background noise The loudness of the noise relative to the noise
created by “normal” activities in the space The potential for “task interference” e.g. the
reduction of speech intelligibility The “quality” of the noise, e.g. a neutral-sounding
noise spectrum will be judged mainly by its loudness but a hissy or rumbly noise spectrum is inherently more irritating regardless of loudness
Blazier, W., "RC Mark II: A refined procedure for rating the noise of heating, ventilating, and air-conditioning (HVAC) systems in buildings," Noise Control Eng. J. Vol. 45, no. 6, pp. 243-150. Nov-Dec 1997.
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Blazier and RC Mark II• RC Mark II Rating takes the form RC xx(yy)
xx is the value of the RC reference curve corresponding to the arithmetic average of the levels in the 500, 1k, and 2k Hz octave bands
yy is a qualitative descriptor• N = neutral
• LF = low-frequency dominant (rumble)▪ LFA = substantial sound-induced vibration
▪ LFB = moderate sound-induced vibration
• MF = mid-frequency dominant (roar)
• HF = high-frequency dominant (hiss)Blazier, W., "RC Mark II: A refined procedure for rating the noise of heating, ventilating, and air-conditioning (HVAC) systems in buildings," Noise Control Eng. J. Vol. 45, no. 6, pp. 243-150. Nov-Dec 1997.
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Recommended Background Noise Levels
MJR Table 8.1, pg. 168
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Recommended Background Noise Levels
MJR Table 8.1, pg. 168
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Various Levels• LEQ (Equivalent (Continuous) Sound Level)
Given a time-variant sound-pressure level measured over time T, the LEQ is the
constant SPL which contains an equal amount of energy over time T
• LDN (Day Night Equivalent Sound Level)
A 24-hour LEQ calculated with a 10 dB penalty for levels measured between 10:00 PM and 7:00 AM
LD = daytime LEQ, LN = nighttime LEQ
• Ln (Exceedance Level) SPL equaled or exceeded n% of the time during a measurement period. L10 is
often used to represent the maximum level and L90 is often used to represent the ambient level
10
10
1010 1091015
24
1log10
ND LL
DNL
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Various Levels
• TNI (Traffic Noise Index) TNI = 4·(L10 – L90) + L90 – 30 (dBA)
• NPL or LNP (Noise Pollution Level) NPL = LEQ + σk
σ = standard deviation of the time varying level
k = 2.56 (found from studies of subjective response to time-varying noise levels)
Uses A-weighted LEQ
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Various Levels• SEL (Sound Exposure Level)
Li = level for a given one-second period
N = number of seconds in the measurement period
• SENEL (Single Event Noise Exposure Level) SEL of a single sound event calculated over a period in which the level
is within 10 dB of the maximum level. Often used to quantify noise for individual aircraft fly-overs
• CNEL (Community Noise Equivalent Level) CNEL = SENEL +10log10(ND + 3NE + 10NN) – 49.4 (dB)
• ND = number of daytime flights (7 AM to 7 PM)
• NE = number of evening flights (7 PM to 10 PM)
• NN = number of nighttime flights (10 PM to 7 AM)
N
i
Li
1
1.010 10log10SEL
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CNEL CorrectionsType of Correction Description Correction
(dB)
Seasonal Summer (windows open)
Winter (windows closed)
0
+5
Outdoor Noise Level Quiet suburban or rural community
“Normal” suburban community
Urban residential community
Noisy urban residential community
Very noisy urban res. community
+10
+5
0
-5
-10
Previous Exposure No prior exposure to intruding noise
Some previous exposure
Considerable previous exposure
+5
0
-5
Pure Tone or Impulse Pure tone or impulsive character +5
http://www.sfu.ca/sonic-studio/handbook/Community_Noise_Equivalent.html
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A Few More…
Long Figure 4.22, p. 143
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Noise Source Directivity
• Q (directivity) of a source is
• For a source against a wall (for example)
AvgI
IQ
,, 24 r
WI Avg
Average intensity (I) if total power (W) is radiated uniformly over a spherical surface.
2
4
2,,
2
2
rW
rW
I
IQ
Avg
Total power (W) is radiated uniformly over a hemispherical surface.
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Noise Source Location
MJR, p. 174
?Qf
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OSHA and Noise Exposure
• OSHA is the Occupational Safety and Health Administration
• They provide guidelines (legal limits) for workplace noise exposure or noise dose
• Noise Dose
where Ci is the total daily exposure time to a specific noise level (e.g. 90 dBA) and Ti is the maximum permissible exposure time for that level
• D > 1is illegal
3
3
2
2
1
1
T
C
T
C
T
CD
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OSHA and Noise Exposure
MJR Table 8.2, pg. 169
http://www.nonoise.org/hearing/hcp/25.gif
Noise dose is measured with a noise dosimeter.
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Speech Intelligibility
• Statistical Measures: Human Listeners Modified Rhyme Test: Listeners are given lists of 6 rhyming or
similar-sounding words (e.g. went sent bent dent tent rent OR cane case cape cake came cave) and are asked to choose which has been spoken
Diagnostic Rhyme Test: Listeners are given pairs of rhyming words and are asked to choose which has been spoken
• Machine Measures Percentage Articulation Loss of Consonants (%ALCons)
• Calculated using RT, speaker-to-listener distance, room volume, and speaker directivity
Speech Transmission Index (STI)• Changes in the modulation of speech intensity are measured for listener
positions Articulation Index Speech Interference Level
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Articulation Index
• Combines the effects of source level, background noise, and hearing sensitivity
• Given the source level and the background-noise level (in octave bands), calculate the signal-to-noise ratio in each band: SNR = LSource – LNoise (dB)
• If SNR > 30, SNR = 30• If SNR < 0, SNR = 0• Then…
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Articulation Index• Use this table of weighting factors to calculate
AI = Σ SNR · weighting factor
• AI ≥ 0.7 is desired, < 0.5 is unacceptable
Octave-Band Center
Frequency (Hz)
Weighting Factor
250 0.0024
500 0.0048
1000 0.0074
2000 0.0109
4000 0.0078
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Speech Interference Level
• SIL (or PSIL) evaluates the impact of background noise on speech communication
• SIL(3) is the arithmetic average of the SPL in the 500, 1,000, and 2,000 Hz octave bands
• SIL(4) is the arithmetic average of the SPL in the 500, 1,000, 2,000 and 4,000 Hz octave bands
From Paul Henderson
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SIL and Distance
MJR Figure 8.1, pg. 162
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Speech Interference Level
Foreman, Sound Analysis and Noise Control, Fig. 7.4
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MTF and STI
• Modulation transfer function (MTF) Start with the idea that speech is well represented
by modulated bands of noise
• Speech is interfered with by reverberation and background noise which effectively modify the modulation
Long, Fig. 4.28, p. 151
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MTF and STI
• The effect of background noise is independent of the modulation frequency, while the effect of reverberation is not
• Skipping a few details, the modulation reduction factor is
SNL
m
mT
f
fm 1.0
60101
1
8.1321
1
ion timereverberat
(Hz)frequency modulation
(dB) ratio noise tosignal
60
T
f
L
m
SN
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MTF and STI
• m(fm) is calculated for fm from 0.63 to 12.5 Hz in 14 1/3-octave steps
7 octave bands of noise, from 125 Hz to 8 kHz
• The result is a graph like this with 98 (7 x 14) values
Long, Fig. 4.28, p. 151
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MTF and STI
• Now find the apparent signal-to-noise ratio for all 98 values of m
• And the average LSNapp weighted by octave band
• Finally
Long, Fig. 4.28, p. 151
m
mL
1log10 10SNapp
i
ii LwL SNapp
7
1SNapp
30
15SNapp
LSTI
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STI Comparisons
Long, Fig. 4.29
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STI Comparisons
Long, Figs. 4.30
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STI Comparisons
Long, Figs. 4.29
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RASTI = RApid STI
Long, Figs. 4.33
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Basic Noise Control
• Address the source Enclose it Modify it to reduce noise production
• Address the path Add a barrier between the source and receiver Add absorption
• Address the receiver Distribute ear plugs or other hearing protection and
enforce their use
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Noise Barrier Performance
http://www.ashraeregion7.org/tc26/pastprograms/Outdoor_Noise/barriers.pdf
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Noise Barrier Performance• Barrier attenuation: SPL reduction provided by the
barrier under free-field conditions (no ground absorption considered) From MJR
• ∆L = 10·log10(20N + 3) where▪ N = 2δ/λ (called the Fresnel Number)▪ δ = length of shortest path from S to R over the barrier minus
the length of the direct path from S to R▪ λ = wavelength
From every other noise control reference
• 03.5 0.19- ,52tanh
2log20 10
N
N
NL
03.5 ,20 NL
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Noise Reduction• NR achieved by adding absorption in a room
A1 = total room absorption before modifications
A2 = total room absorption after modifications
• NR achieved by a partition between two spaces
TL = transmission loss of the partition
ARec = total absorption in the receiving room
S = surface area of the partition
1
210log10
A
ANR
S
ATLNR Rec
10log10
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Other Measurement Options
• Thus far, we’ve only considered noise measurements based on sound pressure. Is that all we can measure?
• Pressure is a scalar value (as opposed to a vector) so it provides no directional information.
• Intensity probes are becoming popular as tools to locate noise sources/leaks.
• Arrays can be used for this too.
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Intensity Probe
• Two omni mics are mounted face to face at a known separation distance (∆x)
• Recall (for a plane wave) I = p·u p = pressure, u = particle velocity
• Now consider Euler’s equation:
• Solve for particle velocity
dt
du
dx
dp0
ba ppx
u0
1
pa – pb = pressure difference between two mics
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Intensity Probe
• Use particle velocity and average pressure (pa + pb)/2 to find intensity
• Orientation of the probe can be changed to find the strongest intensity, which (likely) indicates the direction toward the noise source
ba
ba ppx
ppupI
02
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Directional Arrays
B. Gover and J. Bradley, “Identification of Weak Spots in the Sound Insulation of Walls Using a Spherical Microphone Array,” in Proc. NOISE-CON 2005, Minneapolis, October 2005.
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Directional Arrays
B. Gover and J. Bradley, “Identification of Weak Spots in the Sound Insulation of Walls Using a Spherical Microphone Array,” in Proc. NOISE-CON 2005, Minneapolis, October 2005.
Original Wall
STC 56
(a) With a 5.4-cm hole
STC 53
(b) With a 3.8-cm sealed pipe in the hole
STC 56
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Directional Arrays
B. Gover and J. Bradley, “Identification of Weak Spots in the Sound Insulation of Walls Using a Spherical Microphone Array,” in Proc. NOISE-CON 2005, Minneapolis, October 2005.
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Directional Arrays
B. Gover and J. Bradley, “Identification of Weak Spots in the Sound Insulation of Walls Using a Spherical Microphone Array,” in Proc. NOISE-CON 2005, Minneapolis, October 2005.
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Directional Arrays
B. Gover and J. Bradley, “Identification of Weak Spots in the Sound Insulation of Walls Using a Spherical Microphone Array,” in Proc. NOISE-CON 2005, Minneapolis, October 2005.
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Directional Arrays
B. Gover and J. Bradley, “Identification of Weak Spots in the Sound Insulation of Walls Using a Spherical Microphone Array,” in Proc. NOISE-CON 2005, Minneapolis, October 2005.
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Directional Arrays
Open Spherical Array Rigid Spherical Array
More on these later in the semester…