Analysis of Roller Number and Binder Content Effects in Paving Operations
The study examines the impact of varying roller numbers and binder content on asphalt density profiles. Findings reveal that the addition of a fifth roller along with increased binder content resulted in the highest density. Other factors such as dielectric properties and roller pass counts were also analyzed, highlighting the importance of maintaining consistency in paving practices. Thermal data investigation and roller temperature anomalies were observed, raising questions about the operational practices during paving activities. Geospatial data analysis aids in recognizing patterns for optimizing paving procedures based on temperature variations. The study emphasizes the significance of eliminating poor field practices to meet MnDOT specifications.
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Effect of Roller Number and Binder Content Section with added binder + 5 rollers has the highest density also had tail on distribution Day one: Blue and Yellow Day Two: Green and Red Fifth roller added at Noon each day
TH 52: Comparison with Other Factors Local decreases (blue) at unconfined edges Roller added mid day dielectric 7 6.5 6 5.5 Dielectric [ ] 5 Local Increase after Added Roller 4.5 4 3.5 3 9.72 9.725 9.73 9.735 9.74 9.745 9.75 9.755 9.76 4 Stationing [ft] x 10
Density Profile System Data Later that Section Dielectric Drops But eventually Returns?????? 9/19/2024 mndot.gov 3
Veta Investigation Thermal Data Mat temperature /Paver Speed was very uniform across this area. Paver not a factor Break Down Roller Two Steel Vibratory working in tandem Vibration was on ( we sometimes find it mysteriously off, but not here ) Stiffness was consistent Mat temperature was consistent, not a factor Pass Count was consistent, not a factor Intermediate Roller Single Pneumatic Mat temperature was consistent, not a factor Pass Count was consistent, not a factor 9/19/2024 mndot.gov 4 Finish Rollers ( #4 and #5) Two Steel working in tandem
Roller 5 Temperature Data Mat Temperature for Rollers 4 and 5 is significantly lower in the area in question. How is this possible? Time stamp on roller passes indicates that BOTH finish rollers disappeared for 15 MINUTES GOT WATER????? 9/19/2024 mndot.gov 5
Roller 5 pass count in low DPS area They had been making about 6 passes each prior getting water The area in question received half that many Passes Probably wanted to get caught up with the rest of the paving crew before the end of the day 9/19/2024 mndot.gov 6
Veta Thermal Past Thermal Data was judged on Max vs. Min Expert System ( Randy is his name) became very good at recognizing patterns relating to specific bad field practices. Geospatial Data Analysis ( thanks Bruce ) now recognizes many of these patterns Current MnDOT incentive/disincentive specification is based upon eliminating patterns and temperature deviations that relate to poor practices Segregation is not a significant concern in Minnesota anymore 9/19/2024 mndot.gov 7
Intelligent Construct not just Quality Control Standard Specification States the Contractor can not provide material that does not meet quality requirements. Example Project: Core Densities were mostly below specification Veta IC data proved that the breakdown roller was not keeping pace with the paver. Contractor instructed to fix his process; proceeding would be unauthorized work. Contractor provided another roller. Example Project: Heavy rains created saturated stockpiles. Thermal data bouncing all over. Contractor instructed to provide thermally uniform mat. Contractor chose to shut down and move to neighboring state since, they don t have thermal over there. 9/19/2024 mndot.gov 8
Veta An Expert System Currently we are evaluating thermal data in a way that spots poor paving (and trucking and plant ) practices. IC Roller Data (Temperature, Passes, Speed, Stiffness, Vibe On) can be correlated to in place density or dielectric. Targeting parameters such as minimum number of passes prior to the temperature dropping below a set minimum does relate to pavement quality. Dielectric is importable into Veta 9/19/2024 mndot.gov 9
Veta An Expert System 9/19/2024 mndot.gov 10
Veta An Expert System 9/19/2024 mndot.gov 11
Veta Needs Automate geospatial analysis of DPS data Compare DPS data to Thermal and IC data MAKE VETA WEBBASED TO PROVIDE REAL TIME FIELD ANALYSIS OF DATA ON TABLETS/LAPTOPS POOLED FUND WITHIN NRRA Contact: curt.turgeon@state.mn.us or rebecca.embacher@state.mn.us 9/19/2024 mndot.gov 12
