The Ultra-Light Iner The Ultra Light Iner Approach in the Stu Dr. Alessandra National Center for A Dr. Andre de Center for Transpo 1 rtial Profiler: a New rtial Profiler: a New udy of Macrotexture a Bianchini, PE Asphalt Technology Fortier Smit ortation Research at Auburn University 1
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The UltraThe Ultra-Light InerLight Inerrtial Profiler: a ... · GDOT Old Rehab ¾ in OGFC 1 ½ in SMA Existing Pavement 8 ... – Stone Matrix Asphalt (SMA)Stone Matrix Asphalt ...
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The Ultra-Light InerThe Ultra Light InerApproach in the Stu
Dr. AlessandraNational Center for A
Dr. Andre de Center for Transpo
1
rtial Profiler: a Newrtial Profiler: a New udy of Macrotexture
a Bianchini, PE,Asphalt Technology
Fortier Smitortation Research
at Auburn University
1
Out
• What is the ULIP?• Type of Data and ProType of Data and Pro• Comparison with CT
Additional Applicatio• Additional Applicatio
2
line
ocessingocessing M methodnsns
at Auburn University
2
Ultra Light InertiaLaser scanning pavement sFrequency 10,000 Hz (eveq y , (FHWA Software: MPD eve
al Profiler (ULIP)surfacery 0.5 mm)y )ry 0.5 m of profile
ULIP SurfaApplication: Texture identification Processing: Data filtering to remo
11 –– 1 ¼ in PEM1 ¼ in PEM1 1 1 ¼ in PEM1 ¼ in PEM
1 ½ in in1 ½ in in1 ½ in in 1 ½ in in New SMANew SMA
1 1 -- 1 ¼ in 1 ¼ in Existing SMAExisting SMA
Existing PavementExisting Pavement
at Auburn University
8
GDOT New Reha
¾ in OGFC¾ in OGFC¾ in OGFC¾ in OGFC
1 ½ in SMA1 ½ in SMA1 ½ in SMA1 ½ in SMA
Existing PavementExisting Pavement
9
bilitation Strategygy
1 1 –– 1 ¼ in PEM1 ¼ in PEM
11 -- 1 ¼ in1 ¼ in1 1 -- 1 ¼ in 1 ¼ in Existing SMAExisting SMA
Existing PavementExisting Pavement
at Auburn University
9
ULIP as QA/QC
• Ridge-to-valley texture de
GDOT Micromilling Proje• Ridge-to-valley texture de
(RVD) measurements• 1 6 mm of RVD required• 1.6 mm of RVD required
specs • Correlation with CTM• Correlation with CTM
Example: Profile – Direction of Millin
1(Courtesy of G
Tool for Texture
epth
ectepth
byby
ng
at Auburn University
0GDOT)
Noise Measuremennts at the Test TrackT t N i• Texture -- Noise– Dense Graded– Stone Matrix Asphalt (SMA)– Stone Matrix Asphalt (SMA)– Open Graded Friction
Courses (OGFC/PFC)– Coarse Porous European
Mixture (PEM)
Noise an• Macrotexture characterizatio
nd MPDn – MPD
Noise and TexMicrotexture: wavelength λ < 0Macrotexture: 0.5 mm < λ < 50Profile Fourier Analysis WProfile Fourier Analysis W
Texture Wavelength
1(
xture Spectrum0.5 mm0 mmWavelengthWavelength
at Auburn University
3(Sandberg and Ejsmont, 2002)
ISO 1347SO 3
Characterization of pavCharacterization of pavof surface profiles
analysis of suanalysis of su
1
3-4:20083 008
vement texture by usevement texture by use s -- Part 4: Spectral urface profilesurface profiles
at Auburn University
4
Test Track SectULIP Signal Ana
Test Track Sect
Filt
1Fourier Analysis – wavelen
ion W4 - OGFCalysis: Exampleion W4 - OGFC
ULIP-Acquired Profile
tered data – baseline length
at Auburn University
5ngth spectrum
ISO 10844: AcousISO 10844: Acousof test tracks for
measuring noisevehicles anvehicles an
Annex E: Calculation oby Noise level Differeylevel variation of the
1
tics - Specificationtics - Specification r the purpose of
e emitted by road d their tiresd their tires
of the Expected pass-ence from Texture road surface (ENDT)