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Model R R Square Adj. R2 Std. Er. Estimate
1 0.964 .930 .883 .869
COEFFICIENTS
Model
Unstandardized Coefficients
Sig.B Std. Error
1
(Constant) C3= 88.9664 3.458 .000
|E*| X4= -0.000699 .000 .019
VFA X5= 0.1617178 .065 .048
Cu X6= 0.1319413 .030 .005
Pb X7= -92.58913 23.493 .008
Relationship between Material Characteristics of Asphalt Mixtures and
Highway Noise
Contacts: M. Emin Kutay, Ph.D., P.E. (kutay@egr.msu.edu ), Salih Kocak, M.S student. (kocaksal@egr.msu.edu)
Sources of the Noise
Many sources of noise in the environment
Traffic noise, the major portion
Tire Pavement Noise Simulator
(TIPANOS)
Materials and Testing Methods Correlations
Propulsion Noise
Aerodynamic Noise
Tire/Pavement Interaction Noise
Speed Effects on Vehicle Noise Sources
Non-destructive tire-pavement noise measurement
device on laboratory size specimens;
Noise obtained by an intensity microphone and
recorded to a computer via dynamic signal analyzer.
Max 810 revolutions per minute (rpm), adjustable.
Capable of measuring SPL between 0-20000 Hz
frequency range.
Correlation between individual material
characteristics and SPL
Investigation of the individual relations between SPL and
material characteristics of HMA
Includes SPL vs |E*|, SPL vs δ, SPL vs E’, SPL vs E”, SPL
vs Va, SPL vs Pb, SPL vs VMA, SPL vs VFA, SPL vs Cu
and SPL vs Cc
Not enough to fully understand the interactions between
material properties
Multivariate Regression Analysis
Better reveals the inter-relationship between viscoelastic,
volumetrics, gradation parameters and SPL.
Performed by using commercially available IBM–SPSS
Abundant of model tested and best one obtained.
Empirical laboratory SPL prediction formula formed.
(b) Picture of TIPANOS
Laboratory testing program included
1. HMA design, measurement of volumetrics & aggregate properties
Sample ID VMA
VFA
(%)
Cu Cc
Pb
(%)
Va (%) Gradation Notes
12.5S 17.1 57.0 14.3 1.4 5.20 7.4 SP(1)-12.5 NMAS 12.5 mm
12.5SA48 16.8 58.3 14.3 1.4 5.20 7.0 SP-12.5 48 hr aged
12.5SPM 17.1 56.9 14.3 1.4 5.20 7.4 SP-12.5 PM binder
12.5SCR5 17.0 57.5 14.3 1.4 5.20 7.2 SP-12.5 CRM 5%
12.5SCR10 16.7 58.6 14.3 1.4 5.20 6.9 SP-12.5 CRM 10%
12.5SLW 28.8 75.5 14.3 1.4 12.0 7.1 SP-12.5 LW
9.5S 14.6 52.5 17.6 1.5 4.76 6.9 SP-9.5 NMAS 9.5 mm
25S 14.9 54.8 46.3 1.4 4.63 6.7 SP-25 NMAS 25 mm
4.75OG 27.1 42.0 2.7 1.1 9.00 15.9 OGFC OGFC
4.75OGCR10 24.9 47.1 2.7 1.1 9.00 13.2 OGFC OGFC-CRM 10%
12.5SM 14.8 66.8 29.4 8.5 6.00 4.9 SMA 12.5 SMA
12.5SMCR10 14.3 69.6 29.4 8.5 6.00 4.3 SMA 12.5 SMA-CRM 10%
Mix designs, volumetric and aggregate properties of the HMA specimens
SP=Superpave mix design,
PM=Polymer modified binder used,
CRM=Crumb rubber modified,
LW=lightweight aggregate,
OGFC=open graded friction course,
SMA=stone matrix asphalt.
(a) Conceptual Drawing of TIPANOS
2. SPL measurements via TIPANOS
3. |E*| testing using AMPT
84
86
88
90
92
94
96
SPLdB(A)
Mix Design and Material Type
Three replicates for each mix design,
Each replicate tested 3 times,
Each run takes 10 seconds at room temperature.
SPL = the average of nine (9) measurements.
Tested at 4, 21, 37, 54 oC &
0.1, 0.5, 1, 5, 10, 25 Hz.
The contact frequency of the
TIPANOS calculated as 212 Hz
Correlations performed
according to the contact
frequencies.
10
100
1000
10000
100000
1.E-05 1.E-03 1.E-01 1.E+01 1.E+03
|E*|(MPa)
Reduced Freq. (Hz)
12.5S 12.5SA48
12.5SPM 12.5SCR5
12.5SCR10 12.5SLW
9.5S 25S
4.75OG 4.75OGCR10
12.5SM 12.5SMCR10
SP-12.5mm
SP-9.5mm
SP-25 mm
OGFC
SMA
y = 0.1621x + 87.244
R² = 0.8854
85.0
87.0
89.0
91.0
93.0
95.0
0.0 10.0 20.0 30.0 40.0 50.0
SPL(dB(A))
Cu
y = 0.93x + 6.3064
R² = 0.93
84.0
86.0
88.0
90.0
92.0
94.0
96.0
84.0 86.0 88.0 90.0 92.0 94.0 96.0
SPLMeasured(dB(A))
SPL Predicted (dB(A))
SPL Measured vs SPL Predicted
SPSS-Model 1 results

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TRB-2012 poster

  • 1. Model R R Square Adj. R2 Std. Er. Estimate 1 0.964 .930 .883 .869 COEFFICIENTS Model Unstandardized Coefficients Sig.B Std. Error 1 (Constant) C3= 88.9664 3.458 .000 |E*| X4= -0.000699 .000 .019 VFA X5= 0.1617178 .065 .048 Cu X6= 0.1319413 .030 .005 Pb X7= -92.58913 23.493 .008 Relationship between Material Characteristics of Asphalt Mixtures and Highway Noise Contacts: M. Emin Kutay, Ph.D., P.E. (kutay@egr.msu.edu ), Salih Kocak, M.S student. (kocaksal@egr.msu.edu) Sources of the Noise Many sources of noise in the environment Traffic noise, the major portion Tire Pavement Noise Simulator (TIPANOS) Materials and Testing Methods Correlations Propulsion Noise Aerodynamic Noise Tire/Pavement Interaction Noise Speed Effects on Vehicle Noise Sources Non-destructive tire-pavement noise measurement device on laboratory size specimens; Noise obtained by an intensity microphone and recorded to a computer via dynamic signal analyzer. Max 810 revolutions per minute (rpm), adjustable. Capable of measuring SPL between 0-20000 Hz frequency range. Correlation between individual material characteristics and SPL Investigation of the individual relations between SPL and material characteristics of HMA Includes SPL vs |E*|, SPL vs δ, SPL vs E’, SPL vs E”, SPL vs Va, SPL vs Pb, SPL vs VMA, SPL vs VFA, SPL vs Cu and SPL vs Cc Not enough to fully understand the interactions between material properties Multivariate Regression Analysis Better reveals the inter-relationship between viscoelastic, volumetrics, gradation parameters and SPL. Performed by using commercially available IBM–SPSS Abundant of model tested and best one obtained. Empirical laboratory SPL prediction formula formed. (b) Picture of TIPANOS Laboratory testing program included 1. HMA design, measurement of volumetrics & aggregate properties Sample ID VMA VFA (%) Cu Cc Pb (%) Va (%) Gradation Notes 12.5S 17.1 57.0 14.3 1.4 5.20 7.4 SP(1)-12.5 NMAS 12.5 mm 12.5SA48 16.8 58.3 14.3 1.4 5.20 7.0 SP-12.5 48 hr aged 12.5SPM 17.1 56.9 14.3 1.4 5.20 7.4 SP-12.5 PM binder 12.5SCR5 17.0 57.5 14.3 1.4 5.20 7.2 SP-12.5 CRM 5% 12.5SCR10 16.7 58.6 14.3 1.4 5.20 6.9 SP-12.5 CRM 10% 12.5SLW 28.8 75.5 14.3 1.4 12.0 7.1 SP-12.5 LW 9.5S 14.6 52.5 17.6 1.5 4.76 6.9 SP-9.5 NMAS 9.5 mm 25S 14.9 54.8 46.3 1.4 4.63 6.7 SP-25 NMAS 25 mm 4.75OG 27.1 42.0 2.7 1.1 9.00 15.9 OGFC OGFC 4.75OGCR10 24.9 47.1 2.7 1.1 9.00 13.2 OGFC OGFC-CRM 10% 12.5SM 14.8 66.8 29.4 8.5 6.00 4.9 SMA 12.5 SMA 12.5SMCR10 14.3 69.6 29.4 8.5 6.00 4.3 SMA 12.5 SMA-CRM 10% Mix designs, volumetric and aggregate properties of the HMA specimens SP=Superpave mix design, PM=Polymer modified binder used, CRM=Crumb rubber modified, LW=lightweight aggregate, OGFC=open graded friction course, SMA=stone matrix asphalt. (a) Conceptual Drawing of TIPANOS 2. SPL measurements via TIPANOS 3. |E*| testing using AMPT 84 86 88 90 92 94 96 SPLdB(A) Mix Design and Material Type Three replicates for each mix design, Each replicate tested 3 times, Each run takes 10 seconds at room temperature. SPL = the average of nine (9) measurements. Tested at 4, 21, 37, 54 oC & 0.1, 0.5, 1, 5, 10, 25 Hz. The contact frequency of the TIPANOS calculated as 212 Hz Correlations performed according to the contact frequencies. 10 100 1000 10000 100000 1.E-05 1.E-03 1.E-01 1.E+01 1.E+03 |E*|(MPa) Reduced Freq. (Hz) 12.5S 12.5SA48 12.5SPM 12.5SCR5 12.5SCR10 12.5SLW 9.5S 25S 4.75OG 4.75OGCR10 12.5SM 12.5SMCR10 SP-12.5mm SP-9.5mm SP-25 mm OGFC SMA y = 0.1621x + 87.244 R² = 0.8854 85.0 87.0 89.0 91.0 93.0 95.0 0.0 10.0 20.0 30.0 40.0 50.0 SPL(dB(A)) Cu y = 0.93x + 6.3064 R² = 0.93 84.0 86.0 88.0 90.0 92.0 94.0 96.0 84.0 86.0 88.0 90.0 92.0 94.0 96.0 SPLMeasured(dB(A)) SPL Predicted (dB(A)) SPL Measured vs SPL Predicted SPSS-Model 1 results