Enhanced Sensing and Data Processing System for Continuous Profiling of Pavement Deflection

Area of Science:

• Civil Engineering
• Materials Science
• Geotechnical Engineering

Background:

• Continuous pavement deflection profiling is crucial for efficient pavement evaluation.
• The Rolling Dynamic Deflectometer (RDD) is a key technology for this purpose.
• Current RDD test speeds (1.6 km/h) limit its application in large projects and congested areas.

Purpose of the Study:

• To enhance the Rolling Dynamic Deflectometer (RDD) for increased testing speed.
• To address limitations of current RDD technology regarding speed and efficiency.
• To enable faster pavement evaluation without compromising data quality.

Main Methods:

• Developed a new lower-level rolling sensor design for the RDD.
• Implemented a higher-performance digital filter and advanced data processing techniques.
• Focused on improving the spatial resolution of deflection data.

Main Results:

• The enhanced RDD system demonstrates potential for significantly increased test speeds.
• The new sensor and data processing successfully mitigate noise and maintain signal integrity at higher speeds.
• Improved spatial resolution of deflection data was achieved.

Conclusions:

• The enhanced RDD system effectively increases testing speed while maintaining data quality.
• This advancement makes RDD more practical for large-scale pavement evaluation and traffic-congested environments.
• The improved technology offers greater efficiency in non-destructive pavement assessment.