Health monitoring of pavement systems using smart sensing technologies

Yang, Shuo

doi:10.31274/etd-180810-3798

Cited by 5 publications

(4 citation statements)

References 35 publications

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“…Yang [67] used radio frequency identification (RFID) temperature tag for temperature monitoring and a digital humidity sensor for moisture detection in the concrete pavement. Actic wireless RFID tag is capable of providing real time data collection and processing.…”

Section: Moisture Monitoringmentioning

confidence: 99%

Pavement Sensing Systems : Literature Review

Fahad

Nagy

Gosztola

2022

Civil and Environmental Engineering

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In situ monitoring of pavement health has been getting much attention due to the efficiency, reliability and accuracy of data. This review consists of various embedded as well as nondestructive sensing options that have been used to perform analysis on pavement health either by simply calculating horizontal and vertical strains under pavement layers or by crack detection models inside pavement structures by supplementing information from moisture, temperature and traffic related sensors. With optimum integration of such combination sensors, engineers can predict the optimum rehabilitation time of the pavements and reduce a huge amount of budget spent on infrastructure reconstruction.

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Section: Moisture Monitoringmentioning

confidence: 99%

Pavement Sensing Systems : Literature Review

Fahad

Nagy

Gosztola

2022

Civil and Environmental Engineering

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“…1). For decades, amounts of research on the monitoring and prediction of the crack in pavement have been carried out and remarkable findings have been obtained (Bao et al, 2016;Fan et al, 2018;Rill-García et al, 2022;Yang, 2014). The drawback of using machine learning optical imaging is the development of each algorithm based on different geographic area of pavement.…”

Section: Introductionmentioning

confidence: 99%

Pavement Crack Monitoring: Literature Review

Fahad¹,

Nagy²,

Guangpin³

et al. 2023

IJCE

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Crack monitoring of pavements is an ever-evolving technology with new crack identification technologies being introduced frequently. Although older technologies consisted of physical removing the pavement section using coring, however new methods are available that are non-destructive and yield a higher performance than conventional technologies. This paper compiles various crack monitoring technologies such as wireless sensor networks, photo imaging, laser imaging, 3D road surface profile scans, acoustics wave propagation technology, embedded strain sensors and onboard vehicle sensors that majorly use an artificial intelligence algorithm to identify and categorize the cracks. The research also includes the use of convolutional neural network that can be used to analyze pavement images and such neural network can localize and classify the cracks for crack initiation and propagation stage. The research concludes with the favor of using the optical imaging technology called Syncrack which serves better performance in terms of time of prediction by 25% and accuracy by 30% when compared to other sensing technologies.

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“…As promising sensing paradigms, wireless sensors based systems have been extensively investigated during the 21st century because of their capability for providing advanced pavement condition monitoring to overcome limitations of conventional wired sensor systems. Wireless sensor systems can offer improvements in installation processes, data aggregation, signal analysis, sensor clustering, event localization, time synchronization, measurement progress, discrete monitoring, eventbased monitoring, and cost saving (Yang 2014). They also reduce the threat of wire damage in pavement and enhance flexibility for more economical and efficient pavement condition monitoring.…”

Section: Introductionmentioning

confidence: 99%

Implementing Advanced Wireless Sensing System for Airfield Pavement Condition Monitoring

Yang

Ceylan

Kim

et al. 2018

International Conference on Transportation and Development 2018

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Real-time monitoring of pavement conditions is beneficial not only to more accurate predictions of airport pavement performance but also to more efficient pavement management activities. Although wireless-based sensing system have shown some advantages compared to wired sensing system, there are just few studies that describe instrumenting wireless sensors in the field for pavement condition monitoring. To bridge this gap, this paper presents case studies describing use of advanced wireless sensing system for airport pavement conditions monitoring at three test sites: the Des Moines International Airport (DSM), the Ohio State University (OSU) Airport, and the Texas A&M University (TAMU) Airport. The wireless sensors communicate through a gateway to collect sensor data and then upload it to the cloud. The wireless sensor instrumentation strategy and design plans, based on the field instrumentation experience, are summarized. The key requirements and potential restrictions for implementing wireless sensing systems in airfield pavement are also discussed.

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Health monitoring of pavement systems using smart sensing technologies

Cited by 5 publications

References 35 publications

Pavement Sensing Systems : Literature Review

Pavement Sensing Systems : Literature Review

Pavement Crack Monitoring: Literature Review

Implementing Advanced Wireless Sensing System for Airfield Pavement Condition Monitoring

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