Asphalt Real-Time Smoothness (ARTS) for Asphalt Paving

Chang, George K; Merritt, Dave; Gilliland, Amanda; Mansell, Todd; Dukatz, Ervin; Oman, Matthew S.

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Asphalt Real-Time Smoothness (ARTS) for Asphalt Paving

2023-02-01
By Chang, George K ; Merritt, Dave ; Gilliland, Amanda

File Language:

English

Details

Creators:

Chang, George K ; Merritt, Dave ; Gilliland, Amanda ; Mansell, Todd ; Dukatz, Ervin ; Oman, Matthew S.
Corporate Creators:

The Transtec Group ; Caterpillar Inc. ; Flyereld Consulting ; Mathy Construction
Corporate Contributors:

Minnesota. Department of Transportation. Office of Research & Innovation ; National Road Research Alliance
Subject/TRT Terms:
Publication/ Report Number:

NRRA202302
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report
Corporate Publisher:

Minnesota. Department of Transportation. Office of Research & Innovation
Abstract:

Real-Time Smoothness (RTS) measures pavement surface profiles during paving using sensors mounted on the back of a paver. The Federal Highway Administration (FHWA) has supported implementing RTS technology for concrete pavements through the SHRP2 Solutions program since 2014. Its study indicated that RTS technology's real-time diagnosis allows changing the paving operation to improve smoothness. This "proof-of-concept" research study aims to extend concrete RTS technologies to asphalt paving applications. The field demonstration results from two field projects show the feasibility of using asphalt Real-Time Smoothness (ARTS) to capture the roughness from various paving events. These results indicate some limitations of the ARTS prototype's measurements since the sensors were uncertified and mounted on a paver screed. The lessons learned from the demonstration projects are valuable for future ARTS technology and for further studies to improve asphalt pavement smoothness.
Format:

PDF
Funding:

(c) 1045185
Download URL:

https://rosap.ntl.bts.gov/view/dot/67164/dot_67164_DS1.pdf
File Type:

[PDF - 8.51 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:741c4462f69dc24b19367c844eb1d0201fad6c11dfcc059dc46cc02a62d7bc41

File Language:

English

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