How to Combine, Compare E-Ticketing, PMTP, IC Data with Veta
Free software Veta can be used to fuse data from e-ticketing, paver-mounted thermal profile and intelligent compaction technology.
What happens when some of the cores taken from a paving job don’t hit density specs? You might go home and spend the evening wondering why. Was it the roller operator’s performance? Were some of the trucks not tarped, creating issues with temperature segregation? Was there an issue at the plant? Were the paver settings off?
“How do we know which, if any, of those factors came into play?” asked George Chang, director of research at The Transtec Group, Inc., Austin, Texas, during his presentation at World of Asphalt 2024. “If we don’t measure [things], we won’t know.”
The goal of his presentation was to illustrate how a free intelligent construction data management (ICDM) tool called Veta can be used to combine and compare data collected by a variety of construction technologies, including e-ticketing, paver-mounted thermal profiling (PMTP) and intelligent compaction (IC). Veta, which was initially developed in 2013 with funding from the Federal Highway Administration (FHWA), is now on version 8.0 and is required in IC specifications for FHWA, the American Association of State Highway and Transportation Officials (AASHTO), and more than 20 state departments of transportation.
With Veta, information from these technologies is available within one platform, making it possible to “track down what is the culprit for failing the density” in the above example, Chang said, “so we can fix it tomorrow.”
The ultimate goal is to make asphalt paving more consistent, Chang said, citing a study which found that a 1.5% gain in density could lead to a 10% improvement in pavement life. [George, do you have a source on this number that we could cite?] Not only would improvements in consistency lead to better performance, he added, but it would also result in improved construction efficiency, cost savings and create a record of relevant project data.
“The bottom line is if you measure [this data], you can trace [low density] back to what might have happened,” Chang said. “If you do not [measure it], then it’s just a guessing game.”
Combine Data with Veta
Imagine an intelligent paving project where the haul truck arrives with an e-ticket containing source information, truck ID, amount of asphalt, route information, how long it was waiting at the job site, and when/where it was dumped into the paver (and, therefore, where each load is in the final road).
The asphalt passes through the paver and is scanned for temperature with the PMTP system behind the screed. “That will give you an idea of whether or not you have a uniform thermal profile behind the screed,” Chang said.
Then, there’s the IC-enabled roller train communicating via WiFi to coordinate and track roller passes, compaction temperatures, and level of compaction. “Then, we have dielectric profiling systems (DPS),” Chang said. This three-sensor system measures the dielectric profile on the surface behind the finish roller and correlates those measurements to cores or pucks in the lab to establish project-wide mat density. “Then, you have a very full coverage of the density on the finished mat.”
Such a project results in a massive amount of data, Chang said. “Each technology is great, but when you fuse all these technologies together, there’s a wow factor,” he added. That’s where Veta comes in. “All this data can be accessed within one interface [with Veta].”
Compare Data with Veta
Once all the data is in Veta, users can compare and contrast data in easy-to-read formats, including graphs and maps. For example, one could look at a map of the thermal profile compared to paver speed, or the average number of roller passes compared to roller speed.
Veta can also see whether the roller speed has been consistent throughout the project, and impacts per foot. “This will show you whether the combination of speed and vibration frequency are in concert [with that goal],” Chang said.
Veta also has a feature called ‘threshold value,’ where the user can set upper and lower limits, for example, on the rolling operation’s compaction temperatures. On one project, Chang said, “we set the lower limit [for compaction] to 180 degrees Fahrenheit and the upper limit of 225.” If any rolling occurs when the mat is outside this temperature range, the paving crew will be notified.
Veta in the Real World
During his presentation, Chang shared several real-world examples where Veta was used to assess and correct compaction issues. For one project, Veta was used to compare thermal profile data against paver speed to illustrate that a failed core came from a location where the paver stopped. On another project, Veta was used to look at DPS data compared to IC data, which showed that density issues along the edge of the pavement were a result of those areas only seeing one pass by the rollers instead of the two or three passes the rest of the mat experienced.
On a 2017 project, Veta was used to compare thermal profile data against paver speed/stopping. “You could see every paver stop, the duration of the stop, and the lower temperatures in those areas,” Chang said. The project also had a smoothness spec, and it was found that IRI issues on the project mirrored locations where the paver had stopped.
“By comparing one factor against another, these combinations can be used to determine why you may have passed or failed on your density,” Chang said. “If a core fails, [with Veta], you can trace where that failure comes from. Was it a result of roller passes, was it a delivery issue? All that data is at your fingertips.”
The Future of Veta
“In the next year or two, a lot of new technology is going to roll out to help you identify why your density failed,” Chang said, adding that Veta is already working on incorporating these new technologies.
“Last November, a new AASHTO standard was published related to Material Delivery Management Systems (MDMS),” Chang said. Mid-2024, he anticipates Veta’s MDMS features will be available to users. In the latter half of this year, the cloud-based version of Veta will become available.
“The last version of Veta was released in 2022,” Chang said. “We’ve spent the past two years migrating Veta to the cloud from the desktop version to make it more accessible with different technologies.”
Next year, Veta plans to incorporate ground-penetrating radar (GPR) data. “We’re currently beta-testing a pilot study with a 3D GPR company to provide us data to develop this feature,” Chang said.
“Eventually Veta will fuse e-ticketing, PMTP, IC, DPS and GPR,” Chang said. As if that weren’t enough acronyms for one sentence, Veta’s next frontier will be environmental product declarations (EPDs).