Abstract

Continuous pavement deflection profiling in a nondestructive manner has received great attention because of its efficiency in pavement evaluation. The Rolling Dynamic Deflectometer (RDD) is a continuous pavement deflection profiling technology and has demonstrated its successful use at many pavement projects. However, RDD’s current test speed of 1.6 km/h (with the prototype rolling sensor) often limits its use in large-coverage projects and traffic congested areas. Increasing the test speed creates a higher-noise environment, lowered signal-to-noise ratio, and sensor decoupling with the ground surface. This study presents the enhancement to the RDD for increased test speed, associated with the new design of the lower-level rolling sensor and higher-performance digital filter and data processing. The new sensor along with the enhanced data processing could increase the spatial resolution of the deflection data, which allows the increase of the test speed of the RDD.

Highlights

  • Deflection-based nondestructive testing (NDT) methods are popular for pavement evaluation.the Falling Weight Deflectometer (FWD) is the most common testing method

  • The performance of the rolling sensor was evaluated associated with the three performance criteria: sensor decoupling, the magnitude of rolling noise, and signal-to-noise ratio (SNR)

  • There were three additional steps added to the existing procedure, which are in the blue box in the figure, including: (1) Determination of the SNR of raw data collected over a selected distance interval, (2) averaging the filtered data over the selected distance interval, and (3) construction of a moving-average distance-based profile

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Summary

Introduction

Deflection-based nondestructive testing (NDT) methods are popular for pavement evaluation. The continuous deflection measurement technologies currently in use are the Traffic Speed Deflectograph (TSD) [1,2,3,4,5], Rolling Wheel Deflectometer (RWD) [6,7,8,9,10], Quest Integrated/Dynatest Consulting Rolling Weight. The RDD employs contact-type loading (with a sinusoidal loading) and a sensing system so that the accuracy and data spatial resolution are superior to those contactless technologies (with non-contacting sensors). Those contactless equipment employ a moving loading system (not sinusoidal loading), no use of a digital band-pass filter that can remove unwanted noise signals. During the last two decades, many pavement projects have demonstrated benefits of the RDD as both a screening and evaluation tool; for example, (1) delineation of problematic areas to be repaired [15,19,20], (2) pavement forensic investigation [17,18,19,20], (3) monitoring changes of pavement behavior [21], (4) load-transfer evaluation at cracks and joints [22,23,24], (5) accelerated pavement testing to estimate the remaining life [25,26], and (6) selection of optimum rehabilitation treatments [18,19,22,23]

Background
Limitations
RDD Signal Processing
Sensor Design
Evaluation of Sensor Design Parameters
30 Hz andand the the SNRSNR under
Enhanced RDD Data Processing
There were three additional
Effect of the Filter Design Parameters
Distance-Based Profile
Moving
11. Continuous
40 Hz were notof considered in this
Conclusions

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