State-of-the Art in the Measurement of Page 1 Pavement Surface - - PowerPoint PPT Presentation
State-of-the Art in the Measurement of Page 1 Pavement Surface Characteristics PDRG-RPUG 1 st Joint Meeting 19 April 2019 Robert Otto Rasmussen, PhD, INCE, PE The Transtec Group, Inc., Austin, Texas (USA) What are Pavement Surface
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PDRG-RPUG 1st Joint Meeting 19 April 2019
Robert Otto Rasmussen, PhD, INCE, PE The Transtec Group, Inc., Austin, Texas (USA)
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What are Pavement Surface Characteristics?
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Design Materials Construction Climate Traffic Maintenance Texture Porosity Stiffness Users & Society Noise Friction Splash & Spray
Evenness
Human Experience & Societal Demands Pavement Surface Characteristics Pavement Properties Factors
Foundation
What are Pavement Surface Characteristics?
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a) Construction quality for acceptance. b) Periodic testing of performance requirements (PPP / JEHDRA). c) Laws and regulations (noise, friction, fuel economy).
a) Asset management
Why do we Measure Pavement Surface Characteristics?
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Microtexture Macrotexture Megatexture 1mm 10mm 100mm 1m 10m Roughness 100mm 10mm 1mm 100m
1/8in.
1in. 1ft. 10ft. 100ft. 10mil 1mil 0.1mil
Rolling Resistance Ride Quality Wet Weather Friction Dry Weather Friction Tire Wear Vehicle Wear
In-Vehicle Noise
Tire-Pavement Noise Splash and Spray Good Bad
Key:
Texture Wavelength PIARC Category Pavement Surface Characteristic (PSC) Influence
Source: PIARC
Texture Classifications for Pavement Surface Characteristics
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Texture Classifications for Pavement Surface Characteristics
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Measuring “Profiles” with Straightedges
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Measuring Profiles with Inertial Profilers
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Measuring Profiles with Inertial Profilers
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Measurements of 3-D Profiles
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Calculating Evenness from Profiles: International Roughness Index (IRI)
Smoothest Automotive Proving Ground Smooth/New Highway “Average” Road “Poor” Ride “Unacceptable” Ride
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Viewing and Analyzing Profiles for Evenness
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Viewing and Analyzing Profiles for Evenness
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Viewing and Analyzing Profiles for Evenness
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Analyzing Profiles for Construction Defects
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Measuring Profiles in Real-Time during Construction
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Measurements for Texture
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Measurements for Texture: Old, Worn Asphalt
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Measurements for Texture: Good, New Asphalt
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100 200 300 400 500 600 700 800 900
Distance (m) Mean Profile Depth, MPD (mm)
Measurements for Texture: Variability in Surface Texture
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Measurements for Texture: Variability in Surface Texture
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Measurements for Friction (Grip)
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Sandstone Slag Expanded Shale/Clay Granite Limestone Trap Rock Gabbro
A “cocktail” of aggregates can result in targeted grip levels. Also important to understand stability of grip with time.
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Grip Measurements for Improving Pavement Engineering
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Measurements for Tire-Pavement Interaction Noise
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Tire-Pavement Interaction Noise
Quietest pavement we have measured: Precast Porous Concrete located in the Netherlands
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Tire-Pavement Interaction Noise
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Predicting Tire-Pavement Interaction Noise from Texture
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1:1 Trendline R2 = 0.87 StdErr = 0.9 dBA 100 101 102 103 104 105 106 107 108 109 110 111 112 100 101 102 103 104 105 106 107 108 109 110 111 112 Measured Site Average OBSI Level (dBA) Texture-Predicted Site Average OBSI Level (dBA) Transverse Tining Longitudinal Tining Drag Diamond Grinding Transverse Tining OBSI = f (Ltx,160 , Ltx,25 , Rk,TR) Longitudinal Tining OBSI = f (Ltx,40) Diamond Grinding OBSI = f (Ltx,80+63+50+40 , SkewTR) Drag OBSI = f (Ltx,50+40 , SkewTR, Rk,TR)
+/- 1 dBA
Predicting Tire-Pavement Interaction Noise from Texture
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Measurements for Rolling Resistance
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Measurements for Rolling Resistance
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Measurements for Rolling Resistance
Improper use of vibratory roller introducing texture
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Texture Impacts on Rolling Resistance
Improper use of vibratory roller introducing texture
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Pavement Management
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Pavement Management
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Pavement Management
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Robert Otto Rasmussen, PhD, INCE, PE
The Transtec Group, Inc., Austin, Texas (USA) Robotto@TheTranstecGroup.com +1 (512) 680 8362