Investigating the Pavement Vibration Response for Roadway Service Condition Evaluation

Ye, Zhoujing; Lu, Yang; Wang, Linbing

doi:10.1155/2018/2714657

Cited by 22 publications

(15 citation statements)

References 27 publications

(33 reference statements)

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“…The vibration frequency of traffic-induced pavement is generally 1–50 Hz, and the peak vibration is within 1 g [ 28 , 29 ]. Therefore, the performance parameters of the accelerometers were tested within the range of ±1 g. The sampling frequency was set as 500 Hz.…”

Section: Experimental Designmentioning

confidence: 99%

Performance Testing of Micro-Electromechanical Acceleration Sensors for Pavement Vibration Monitoring

Wei

Yang

et al. 2023

Micromachines

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Pavement vibration monitoring under vehicle loads can be used to acquire traffic information and assess the health of pavement structures, which contributes to smart road construction. However, the effectiveness of monitoring is closely related to sensor performance. In order to select the suitable acceleration sensor for pavement vibration monitoring, a printed circuit board (PCB) with three MEMS (micro-electromechanical) accelerometer chips (VS1002, MS9001, and ADXL355) is developed in this paper, and the circuit design and software development of the PCB are completed. The experimental design and comparative testing of the sensing performance of the three MEMS accelerometer chips, in terms of sensitivity, linearity, noise, resolution, frequency response, and temperature drift, were conducted. The results show that the dynamic and static calibration methods of the sensitivity test had similar results. The influence of gravitational acceleration should be considered when selecting the range of the accelerometer to avoid the phenomenon of over-range. The VS1002 has the highest sensitivity and resolution under 3.3 V standard voltage supply, as well as the best overall performance. The ADXL355 is virtually temperature-independent in the temperature range from −20 °C to 60 °C, while the voltage reference values output by the VS1002 and MS9001 vary linearly with temperature. This research contributes to the development of acceleration sensors with high precision and long life for pavement vibration monitoring.

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Section: Experimental Designmentioning

confidence: 99%

Performance Testing of Micro-Electromechanical Acceleration Sensors for Pavement Vibration Monitoring

Wei

Yang

et al. 2023

Micromachines

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“…e stiffness of roadbed refers to the capability of roadbed to resist deformation under the action of external loads. Roadbed is a flexible structure, easy to be compressed and deformed [23]. Bridge and culvert structures are basically reinforced concrete structures with large stiffness, which are difficult to settle and deform.…”

Section: Analysis Of the Effect Of Relative Stiffness Between Pier Camentioning

confidence: 99%

Influences of Urban Viaduct Pier Caps on Uneven Settlement of Roadbed

Zheng

2019

Advances in Civil Engineering

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Uneven settlement widely occurs on the roadbed under urban viaducts in operation. Previous studies focused on the effect of soft soil foundation on the uneven settlement of roadbed, without considering the phenomenon and mechanism of uneven settlement at the junction of pier cap and the roadbed under viaduct. The interaction is now considered between the buried depth of cap, the relative stiffness between cap and road subgrade, and the uneven settlement of roadbed. Using the Midas GTS NX software, a numerical analysis model of the deformation of roadbed under viaduct is constructed to study the influence of viaduct cap foundation on the uneven settlement of roadbed under viaduct. The simulated results of uneven settlement of roadbed caused by urban viaduct pier cap show that (1) when the buried depth of cap exceeds 2.35 m, with the increase of buried depth, the fall of roadbed settlement tends to decrease, but the decreased amount is not significant. Considering the factors such as construction cost and complications of construction technology, it is suggested that the best buried depth of cap is about 2.5 m. (2) The fall of roadbed settlement decreases with the decrease of relative stiffness between cap and roadbed. When the relative stiffness exceeds 6.3, the decreasing trend of settlement fall is not significant. The concrete roadbed should have more stiffness in order to reduce the settlement.

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“…Comparing with the conventional AMR sensor system and the WIM system, the MEMS is more versatile due to its collective sensing units included. The mechanical properties of the pavement during construction and service time as well as the traffic information can be estimated using one single system, which is convenient and cost effective [ 13 , 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Estimation of the Vehicle Speed Using Cross-Correlation Algorithms and MEMS Wireless Sensors

Zhang

Shen

Huang

et al. 2021

Sensors

Self Cite

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Traffic information is critical for pavement design, management, and health monitoring. Numerous in-pavement sensors have been developed and installed to collect the traffic volume and loading amplitude. However, limited attention has been paid to the algorithm of vehicle speed estimation. This research focuses on the estimation of the vehicle speed based on a cross-correlation method. A novel wireless micro-electromechanical sensor (MEMS), Smartrock is used to capture the triaxial acceleration, rotation, and stress data. The cross-correlation algorithms, i.e., normalized cross-correlation (NCC) algorithm, the smoothed coherence transform (SCOT) algorithm, and the phase transform (PHAT) algorithm, are applied to estimate the loading speed of an accelerated pavement test (APT) and the traffic speed in the field. The signal-noise-ratio (SNR) and the mean relative error (MRE) are utilized to evaluate the stability and accuracy of the algorithms. The results show that both the correlated noise and independent noise have significant influence in the field data. The SCOT algorithm is recommended for speed estimation with reasonable accuracy and stability because of a large SNR value and the lowest MRE value among the algorithms. The loading speed investigated in this study was within 50 km/h and further verification is needed for higher speed estimation.

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Investigating the Pavement Vibration Response for Roadway Service Condition Evaluation

Cited by 22 publications

References 27 publications

Performance Testing of Micro-Electromechanical Acceleration Sensors for Pavement Vibration Monitoring

Performance Testing of Micro-Electromechanical Acceleration Sensors for Pavement Vibration Monitoring

Influences of Urban Viaduct Pier Caps on Uneven Settlement of Roadbed

Estimation of the Vehicle Speed Using Cross-Correlation Algorithms and MEMS Wireless Sensors

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