surface texture on low volume roads - purdue engineeringncaupg/activities/2005... · surface...
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SURFACE TEXTURE ON SURFACE TEXTURE ON LOW VOLUME ROADSLOW VOLUME ROADS
Alan CarterAlan CarterMary StroupMary Stroup--GardinerGardiner
NCAUPG Friday Jan. 28 NCAUPG Friday Jan. 28 20052005
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Outline of the presentationOutline of the presentation
TextureTextureAlabama projectAlabama project
Texture and NoiseTexture and NoiseCanada projectCanada project
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Research Program (Alabama)Research Program (Alabama)
ScopeScope650 miles HMA pavement in 2 Alabama 650 miles HMA pavement in 2 Alabama CountiesCounties
AL1 AL1 Lane width: 8Lane width: 8--9ft9ftADT: 430 to 8 000ADT: 430 to 8 000
AL2AL2Lane width: 9Lane width: 9--11ft11ftADT: 600 to 15 000 ADT: 600 to 15 000
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Data CollectionData Collection
TextureTextureRight wheel pathRight wheel path
Alligator Cracking
Patch
Transverse Cracking
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TextureTexture
Average Values Standard Deviations Mixes Max Agg, mm Texture, mm Max Agg, mm Texture, mm Superpave Mixes 15.7 0.44 4.8 0.15 Marshall Mixes 17.4 0.47 6.1 0.16 Fine 12.5 0.24 0.0 0.03 Med. 11.4 0.32 1.5 0.13 Coarse 11.9 0.38 0.0 0.02 SMA 12.5 0.47 0.0 0.08
Texture is a function of surface HMA gradationTexture is a function of surface HMA gradation
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Both CountiesBoth Counties
y = 0.4836e0.0384x
R2 = 0.4549
00.5
11.5
22.5
33.5
0 10 20 30 40 50Age, years
Text
ure,
mm
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Both CountiesBoth Counties
y = 0.412x0.4184
R2 = 0.7867
y = 0.4626x0.3736
R2 = 0.7048
0
0.5
1
1.5
2
2.5
3
3.5
0 10 20 30 40 50 60 70 80Crack / 0.1 mile
Text
ure,
mm
AL1 AL2
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Both CountiesBoth Counties
y = 0.008x + 0.5255R2 = 0.7795
0
0.25
0.5
0.75
1
1.25
1.5
0 20 40 60 80 100Alligator Cracking, %
Mac
rote
xtur
e, m
m
Walking Survey
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Both CountiesBoth Counties
y = 85.371e0.32x
R2 = 0.414
y = 108.23e0.3117x
R2 = 0.463
0
50
100
150
200
250
300
350
0 1 2 3 4Texture, mm
Rt.
IRI,
in/m
i
AL2 AL1
60% Alligator
cracking
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Conclusion for textureConclusion for texture
Texture is a good indicator of pavement Texture is a good indicator of pavement conditionconditionTexture can be use to estimate:Texture can be use to estimate:
Alligator crackingAlligator crackingNumber of cracksNumber of cracksIRIIRI
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Texture CanadaTexture Canada
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1 2 3 4 5 6 8 9 10 11B 12 13 14 15 16 17 18 19 20
section #
Ave
rage
MTD
(mm
)
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y = 0.9347x + 0.2774R2 = 0.5642
y = 0.7065x + 0.1285R2 = 0.6921
0
0.5
1
1.5
2
2.5
0 0.5 1 1.5 2 2.5
Aran Van texture (mm)
TM2
or s
andp
atch
text
ure
(mm
)
TM2Sand Patch
Texture Measurement system comp.Texture Measurement system comp.
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y = 0.9347x + 0.2774R2 = 0.5642
y = 0.7065x + 0.1285R2 = 0.6921
0
0.5
1
1.5
2
2.5
0 0.5 1 1.5 2 2.5
Aran Van texture (mm)
TM2
or s
andp
atch
text
ure
(mm
)
TM2Sand Patch
Texture Measurement system comp.Texture Measurement system comp.
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0
0.2
0.4
0.6
0.8
1
1.2
1.4
0 0.5 1 1.5
Chainage(km)
MPD
(mm
)
MPDAVG
MTD AVG: 0.505763
STDEV: 0.075941
COV: 15.0%
MTD AVG: 0.505763
STDEV: 0.075941
COV: 15.0%
HMA
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0
0.5
1
1.5
2
2.5
3
3.5
0 0.1 0.2 0.3 0.4 0.5Chainage(km)
MPD
(mm
)
MPDAVG
MTD AVG:0.6741
STDEV: 0.4874
COV: 72.3%
MTD AVG:0.6741
STDEV: 0.4874
COV: 72.3%
PCC
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Parameters with influence on noiseParameters with influence on noise
ParameterParameter Degree of InfluenceDegree of Influence Wavelength (mm)Wavelength (mm)MicrotextureMicrotexture LowLow--ModerateModerate < 0.5< 0.5
0.5 to 500.5 to 5050 to 50050 to 500
> 500> 500--
--
MacrotextureMacrotexture Very HighVery HighMegatextureMegatexture HighHighUnevennessUnevenness MinorMinorPorosityPorosity Very HighVery HighThickness of layerThickness of layer High (for porous High (for porous
layer)layer)Sandberg (2002)Sandberg (2002)
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Overall SPL all sections
9092949698
100102104106108110112
Ove
rall
SPL
(dB
(A))
1 2 3 4 5 6 8 9 10 11B 12 13 14 15 16 17 18 19 20
Section #
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Overall SPL all sections
y = 0.0304x - 2.4292R2 = 0.0765
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
96 98 100
102
104
106
108
110
112
SPL (dB(A))
MTD
(mm
)
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Overall SPL Asphalt only
y = 0.0206x - 1.3775R2 = 0.0473
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
96 98 100
102
104
106
108
110
112
SPL (dB(A))
MTD
(mm
)
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Overall SPL PCC only
y = 0.108x - 10.558R2 = 0.6681
0
0.2
0.4
0.6
0.8
1
1.2
1.4
101
101.5 10
2
102.5 10
3
103.5 10
4
104.5 10
5
105.5 10
6
106.5
SPL (dB(A))
MTD
(mm
)
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y = 0.0005x2 - 0.1004x + 5.5005R2 = 0.0069
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
94 96 98 100
102
104
106
108
110
112
114
116
SPL (dB(A))
MTD
(mm
)Noise vs texture with distance HMA
sections
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y = 0.0005x2 - 0.1004x + 5.5005R2 = 0.0069
y = -0.0846x + 9.6136R2 = 0.5574
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
94 96 98 100
102
104
106
108
110
112
114
116
SPL (dB(A))
MTD
(mm
)Noise vs texture with distance HMA
sections
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y = 0.0005x2 - 0.1004x + 5.5005R2 = 0.0069
y = 0.0736x - 6.7722R2 = 0.9224
y = -0.0846x + 9.6136R2 = 0.5574
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
94 96 98 100
102
104
106
108
110
112
114
116
SPL (dB(A))
MTD
(mm
)Noise vs texture with distance HMA
sections
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y = -0.0482x2 + 9.9444x - 512.26R2 = 0.3786
0
0.2
0.4
0.6
0.8
1
1.2
1.4
99 100
101
102
103
104
105
106
SPL (dB(A))
MTD
(mm
)Noise vs texture with distance PCC
sections
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0
20
40
60
80
100
120
10 100 1000 10000 100000Freq (Hz)
dB(A
)
1 2 3 4 5
6 8 9 10 11B
12 13 14 15 16
17 18 19 20 21
Noise spectrum all sections
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0
12
24
36
48
60
20 63 200 630 2000 6300 20000
1
11
21
31
41
51
61
71
81
91
101
SPL (dB(A))
Time (s)
Frequency (Hz)
HMA
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PCC
0
20
40
20 50 125
315
800
2000
5000
1250
0
0102030405060708090100
SPL (dB(A))
Time (s)
Freq (Hz)
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Conclusion for noiseConclusion for noiseMacrotextureMacrotexture has a definite effect on has a definite effect on tire/pavement noisetire/pavement noise
For HMA, texture For HMA, texture ≠≠ everythingeverything
For PCC, texture good to define noiseFor PCC, texture good to define noise
At constant max At constant max aggagg. Size, in texture = in . Size, in texture = in noisenoise
For surface treatment, in texture = in noiseFor surface treatment, in texture = in noise
PCC higher freq. than HMAPCC higher freq. than HMA
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WhatWhat’’s next?s next?
Study on noise spectrumStudy on noise spectrumCorrelation with mix characteristicsCorrelation with mix characteristicsNoise absorption on samplesNoise absorption on samples