Modelling Asphalt Overlay As-Built Roughness Based on Profile Transformation-Case for Paver Using Automatic Levelling...

Area of Science:

• Pavement Engineering
• Civil Engineering
• Transportation Engineering

Background:

• As-built pavement roughness is a key indicator of service level and construction quality.
• Accurate prediction of as-built roughness aids pavement design and management.
• Previous models existed for wheeled pavers without automatic screed leveling.

Purpose of the Study:

• To further develop an existing as-built International Roughness Index (IRI) prediction model for asphalt overlays.
• To incorporate automatic screed control systems using long-distance averaging mobile references.
• To present the formulation of linear systems for a wheeled paver with contactless acoustic sensors.

Main Methods:

• The study builds upon a previous profile transformation-based IRI prediction model.
• It integrates an automatic screed control system with contactless acoustic sensors on a floating levelling beam.
• The model was calibrated using longitudinal profile data from the Long-Term Pavement Performance SPS-5 experiment.

Main Results:

• The enhanced model achieved a mean error of 0.17 m/km for predicted IRI.
• The results demonstrate the model's effectiveness with automatic screed control.
• The approach shows potential as a viable alternative for pavement roughness modeling.

Conclusions:

• The developed model effectively predicts as-built IRI for asphalt overlays with automatic screed control.
• This advancement offers a valuable tool for pavement design and quality assessment.
• The proposed approach represents a significant step forward in pavement engineering modeling.