Evaluation of the Rolling Wheel Deflectometer as a Structural Pavement Assessment Tool in Louisiana

Elseifi, Mostafa A.; Abdelkhalek, Ahmed; Gaspard, Kevin; Zhang, Zhongjie “Doc”; Ismail, Said

doi:10.1061/41167(398)60

Cited by 8 publications

(18 citation statements)

References 3 publications

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“…of the RWD deflection results fluctuated with changes in surface mix type. Similar evaluation was conducted in [38], which showed that the RWD measurements were acceptable with an average coefficient of variation of 14% at a testing speed of 32 km/h. This device performs well and would be a good tool if continuously being improved in the testing speed.…”

Section: Related Workmentioning

confidence: 92%

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Efficient Calibration of a Laser Dynamic Deflectometer

Zou

Mao

et al. 2013

IEEE Trans. Instrum. Meas.

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The bearing capacity of the road pavement is one of the most important indices that reflect the road condition. To collect such data, various deflectometers were developed in the past three decades. Note that the newly developed Traffic-Speed Deflectometer (TSD) declares to perform a nondestructive measuring at traffic speeds. However, TSD is limited as it needs more than 4 h to calibrate the system before a measuring task. This paper introduces a Laser Dynamic Deflectometer (LDD) developed at the Transportation Research Center of Wuhan University. LDD applies four laser Doppler sensors mounted on a measuring beam to capture the deflection velocity of the pavement surface. Unlike TSD using a servo to keep the beam static, LDD utilizes a gyroscope to measure and compensate the vibration of the beam. Moreover, in the procedure of calibration, LDD applies an efficient relative-motion method to calculate the relative angles between each two Doppler lasers, which reduces the time of system calibration to about 2 h.

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Section: Related Workmentioning

confidence: 92%

“…Another dynamic deflectometer is the RWD [11], [35]- [38]. In [11], a prototype RWD system was developed, which used three lasers to measure the unloaded pavement surface, and one laser, placed near the center of the dual tires, to measure within the deflection basin under an 18-kip single axle load.…”

Section: Related Workmentioning

confidence: 99%

Efficient Calibration of a Laser Dynamic Deflectometer

Zou

Mao

et al. 2013

IEEE Trans. Instrum. Meas.

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“…RWD deflections were found to describe the deterioration of the pavement structure through both an increase in the magnitude of the deflection and an increase in the scattering and variability of the deflection measurements (Elseifi et al 2011(Elseifi et al , 2012. Figure 1 shows the phenomenon with the data used in that research effort.…”

Section: Rwd Indicesmentioning

confidence: 98%

“…Because LADOTD reports its distress data in 161 m (0.1 mile) intervals, the representative deflection from RWD data was also developed for 161 m (0.1 mile) segments by taking the average of the 10,560 deflection measurements in that segment. In addition, averaging the 10,560 deflections assists in reducing the variance in the RWD measurements (Elseifi et al 2011(Elseifi et al , 2012.…”

Section: Rwd Testing and Datamentioning

confidence: 98%

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Evaluating pavement management treatment selection utilising continuous deflection measurements in flexible pavements

Zhang¹,

Gaspard²,

Elseifi

2014

International Journal of Pavement Engineering

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The objective of this study was to develop a new structural index based on rolling wheel deflectometer (RWD) deflection data to describe pavement structural capacity and to improve pavement management treatment selection. To achieve this objective, pavement conditions including surface cracking, rutting, roughness and asphalt layer thicknesses were categorised and sorted according to their AC layer thickness and divided into various subgroups. The cumulative distribution function of the new RWD index in each subgroup was generated so that various percentiles were calculated and used to define the boundary between structural and functional rehabilitation. Results showed that the Louisiana criteria may recommend structural rehabilitation for pavements with sound pavement structure (Type I error) and functional rehabilitation to pavements with weak pavement structure (Type II error). Therefore, the state pavement management system should consider both pavement structural indices and surface distress indices currently available when making recommendations for pavement preservation and rehabilitation. RWD testing technology and indices derived from its data are one of the most promising candidates to fulfil this need.

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Mechanistic-Based Approach to Utilize Traffic Speed Deflectometer Measurements in Backcalculation Analysis

Zihan

Elseifi

Icenogle

et al. 2020

Transportation Research Record

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Backcalculation analysis of pavement layer moduli is typically conducted based on falling weight deflectometer (FWD) deflection measurements; however, the stationary nature of the FWD requires lane closure and traffic control. In recent years, traffic speed deflection devices such as the traffic speed deflectometer (TSD), which can continuously measure pavement surface deflections at traffic speed, have been introduced. In this study, a mechanistic-based approach was developed to convert TSD deflection measurements into the equivalent FWD deflections. The proposed approach uses 3D-Move software to calculate the theoretical deflection bowls corresponding to FWD and TSD loading configurations. Since 3D-Move requires the definition of the constitutive behaviors of the pavement layers, cores were extracted from 13 sections in Louisiana and were tested in the laboratory to estimate the dynamic complex modulus of asphalt concrete. The 3D-Move generated deflection bowls were validated with field TSD and FWD data with acceptable accuracy. A parametric study was then conducted using the validated 3D-Move model; the parametric study consisted of simulating pavement designs with varying thicknesses and material properties and their corresponding FWD and TSD surface deflections were calculated. The results obtained from the parametric study were then incorporated into a Windows-based software application, which uses artificial neural network as the regression algorithm to convert TSD deflections to their corresponding FWD deflections. This conversion would allow backcalculation of layer moduli using TSD-measured deflections, as equivalent FWD deflections can be used with readily available tools to backcalculate the layer moduli.

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Evaluation of the Rolling Wheel Deflectometer as a Structural Pavement Assessment Tool in Louisiana

Cited by 8 publications

References 3 publications

Efficient Calibration of a Laser Dynamic Deflectometer

Efficient Calibration of a Laser Dynamic Deflectometer

Evaluating pavement management treatment selection utilising continuous deflection measurements in flexible pavements

Mechanistic-Based Approach to Utilize Traffic Speed Deflectometer Measurements in Backcalculation Analysis

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