Evaluation of Traffic-Speed Deflectometers

Flintsch, Gerardo W.; Ferne, B W; Diefenderfer, Brian K.; Katicha, Samer W.; Bryce, James; Nell, Simon

doi:10.3141/2304-05

Cited by 38 publications

(20 citation statements)

References 2 publications

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“…This figure clearly shows greater consistency in the amplitudes as compared to Figure 11b, particularly in the peaks. This is further improved with the energy scaling of Equation (5). The scaled amplitudes are plotted in Figure 13b and they can be seen to be more consistent than those of Figure 13a.…”

Section: Data Scalingmentioning

confidence: 56%

“…There are different energy levels in each signal, which makes it hard to infer the condition of the track. Figure 11b shows the PF5 of the Hilbert amplitudes of the signals that were calculated while using Equation (5). Although it constitutes an improvement, high variations remain between passes, e.g., between 6000 to 7000 m. Figure 12 shows the forward speeds for all passes and show a great deal of variation.…”

Section: Data Scalingmentioning

confidence: 99%

“…Drive-by monitoring is an inspection method in which the responses that are measured on instrumented trains/vehicles are employed for the condition monitoring of components of transport infrastructure, e.g., bridges [3,4], highway pavements [5], and railway tracks [6,7]. In the railway application, sensors are installed on an operational train to provide faster, cheaper, and more reliable monitoring approaches.…”

Section: Introductionmentioning

confidence: 99%

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Railway Track Monitoring Using Train Measurements: An Experimental Case Study

et al. 2019

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This paper investigates the use of drive-by train measurements for railway track monitoring. An in-service Irish Rail train was instrumented while using accelerometers and a global positioning system. The measurements were taken over two months and the train bogie accelerations from 60 passes on the Dublin-Belfast line were used for this study. A 6 km section of the line is the particular focus, where the maintenance measurements from a Track Recording Vehicle (TRV) were available. The Hilbert transform is used to obtain the instantaneous amplitudes of the acceleration signals. A new representation of the signal is proposed to show the signal energy level as a function of train location. It is shown that the forward speed of the train has a significant influence on the energy level of the signals. Therefore, a two-step speed correction is applied to the data. First, data from passes with forward speed below a certain limit are removed from the data set. Subsequently, a scaling factor is defined for the remaining signals and the energy levels of those signals are scaled while using online speed measurements. The scaled amplitudes are compared with the TRV data. It is shown that the energy levels of the signals match the TRV measurements very well.

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Section: Data Scalingmentioning

confidence: 56%

Section: Data Scalingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Railway Track Monitoring Using Train Measurements: An Experimental Case Study

et al. 2019

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“…The findings of the research are documented in SHRP 2 Report S2-R06F-RW-1 (Flintsch et al 2013), as well as in several publications Bryce et al 2012;Katicha et al and 2013b The project occurred in two phases. The first phase, documented in Flintsch et al (2012) and Flintsch et al (2013), evaluated several continuous deflectometers and conclude that two currently available devices, the rolling wheel deflectometer (RWD) and the traffic speed deflectometer (TSD), were the most promising devices in terms of meeting user's needs. User needs were determined as a result through a survey of several transportation professionals to determine the key engineering parameters that they wish to derive from deflection testing (Flintsch et al 2013).…”

Section: Overview Of Shrp 2 Project R06(f)mentioning

confidence: 99%

Capabilities and Potential Applications of Continuous Pavement Deflection Measuring Devices

Flintsch¹,

Bryce²,

Katicha³

2014

Geo-Congress 2014 Technical Papers

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Continuous pavement deflection measurment devices, or continuous deflectometers, were recently evaluated as part of a recent Strategic Highway Research Program 2 project number R06(F). Multiple devices were assessed, their capabilities evaluated and practical applications identified and illustrated. The objective of this paper is to present the results of a study that evaluated current technologies implemented in continuous deflection measuring devices with a focus on their potential use to obtain network level structural indices that can be used to support pavement management decisions. The evaluated indices are the Surface Curvature Index (SCI), the Base Damage Index (BDI), the strain at the bottom of the asphalt layer, and the effective structural number (SN eff ). These indices were calculated using the Traffic Speed Deflectometer (TSD) which is a continuous deflection device that was evaluated in the study and compared with indices calculated using the Falling Weight Deflectometer (FWD). The results suggest reasonable agreement between the TSD and FWD for the purpose of network level pavement management.

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“…OBrien et al [30] propose the use of a Traffic Speed Deflectometer (TSD) for drive-by bridge damage detection. A TSD [31] is a specialized vehicle which is used to measure the deflection "basin" (depression) in a road pavement due to a heavy axle load. It is equipped with several laser vibrometers which measure relative velocities between the road pavement and the vehicle [32].…”

Section: Introductionmentioning

confidence: 99%

The Feasibility of Using Laser Doppler Vibrometer Measurements from a Passing Vehicle for Bridge Damage Detection

Malekjafarian

Martínez

O’Brien

2018

Shock and Vibration

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This paper investigates the feasibility of detecting local damage in a bridge using Laser Doppler Vibrometer (LDV) measurements taken from a vehicle as it passes over the bridge. Six LDVs are simulated numerically on a moving vehicle, collecting relative velocity data between the vehicle and the bridge. It is shown that Instantaneous Curvature (IC) at a moving reference, which is the curvature of the bridge at an instant in time, is sensitive to local damage. The vehicle measures Rate of Instantaneous Curvature (RIC), defined as the first derivative of IC with respect to time. A moving average filter is found to reduce the effects of noise on the RIC data. A comparison of filtered RIC measurements in healthy and damaged bridges shows that local damage can be detected well with noise-free measurements and can still be detected in the presence of noise.

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Evaluation of Traffic-Speed Deflectometers

Cited by 38 publications

References 2 publications

Railway Track Monitoring Using Train Measurements: An Experimental Case Study

Railway Track Monitoring Using Train Measurements: An Experimental Case Study

Capabilities and Potential Applications of Continuous Pavement Deflection Measuring Devices

The Feasibility of Using Laser Doppler Vibrometer Measurements from a Passing Vehicle for Bridge Damage Detection

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