Assessment of concrete pavement support conditions using distributed optical vibration sensing fiber and a neural network

Zhao, Hongduo; Wu, Difei; Zeng, Mengyuan; Tian, Yu; Ling, Jianming

doi:10.1016/j.conbuildmat.2019.04.195

Cited by 25 publications

(9 citation statements)

References 18 publications

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“…While the former was able to detect local deformation, local cracks and shrinkage, the latter was employed to measure the global mechanical properties and global deformation. When it comes to rigid pavements, optical fiber sensors were also used to monitor thermal curling of concrete pavement slabs [56] and concrete pavement support conditions [55]. Since one of the main concerns with embedded wireless sensors regards their energy supply, piezoelectric transducers are seen as a good alternative for continuous pavement health monitoring on account of the capacity of both damage diagnosis, and for supplying power to themselves from traffic loads.…”

Section: Embedded Methodsmentioning

confidence: 99%

“…Regarding the structural category, it was also divided into two distinct sub-categories related to the main focus of the systems under analysis. The works were divided into those that focused on the identification of fatigue cracking [42,43,46,48,50,53], most commonly bottom-up cracks, and the estimation of pavement layers' elastic modulus and the prediction of mechanical response [34,45,49,51,52,[54][55][56], which are intrinsically related.…”

Section: General Aspectsmentioning

confidence: 99%

“…Zhao et al [55] implemented a data-driven approach to assess the support conditions of rigid pavements. This was achieved by applying a probabilistic neural network to the extracted features associated with vibration signal detected by the optical fiber sensing arrays.…”

Section: Estimation Of Pavement Characteristics and Prediction Of Mechanical Responsementioning

confidence: 99%

See 2 more Smart Citations

Integration of Smart Pavement Data with Decision Support Systems: A Systematic Review

Amândio¹,

Parente²,

Neves

et al. 2021

Buildings

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Nowadays, pavement management systems (PMS) are mainly based on monitoring processes that have been established for a long time, and strongly depend on acquired experience. However, with the emergence of smart technologies, such as internet of things and artificial intelligence, PMS could be improved by applying these new smart technologies to their decision support systems, not just by updating their data collection methodologies, but also their data analysis tools. The application of these smart technologies to the field of pavement monitoring and condition evaluation will undoubtedly contribute to more efficient, less costly, safer, and environmentally friendly methodologies. Thus, the main drive of the present work is to provide insight for the development of future decision support systems for smart pavement management by conducting a systematic literature review of the developed works that apply smart technologies to this field. The conclusions drawn from the analysis allowed for the identification of a series of future direction recommendations for researchers. In fact, future PMS should tend to be capable of collecting and analyzing data at different levels, both externally at the surface or inside the pavement, as well as to detect and predict all types of functional and structural flaws and defects.

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Section: Embedded Methodsmentioning

confidence: 99%

Section: General Aspectsmentioning

confidence: 99%

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Integration of Smart Pavement Data with Decision Support Systems: A Systematic Review

Amândio¹,

Parente²,

Neves

et al. 2021

Buildings

View full text Add to dashboard Cite

show abstract

“…It is capable of collecting distributed vibration responses over tens of kilometers in large-scale structures, for example, a lengthy concrete pavement. Zhao et al (7,13) suggested a vibration-based method for assessing support conditions using DOVS technology, and they successfully verified this method by measuring pavement vibration under impulse loads.…”

mentioning

confidence: 99%

“…Vibration testing is another method used to assess support conditions. It is based on the idea that loss of support or poor support conditions will change the restraint condition of concrete pavement and further result in changes in structural modal properties (5)(6)(7). However, similar to the deflectometer in deflection-based methods, the traditional vibration-based method is expensive and inconvenient to use because many accelerometers need to be installed and removed several times.…”

mentioning

confidence: 99%

Novel Assessment Method for Support Conditions of Concrete Pavement under Traffic Loads using Distributed Optical Sensing Technology

Zeng

Zhao

et al. 2020

Transportation Research Record: Journal of the Transportation R

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Loss of support is a common concrete pavement distress that may affect pavement performance directly. Previous studies have proved that vibration-based methods have the potential for detecting loss of support in a more efficient way but this is limited by loading conditions. This paper presents a further study concerning the effects of moving loads and proposes a novel method for assessing support conditions of concrete pavement under traffic loads using distributed optical vibration sensing technology. First, finite element analysis and laboratory tests were conducted to investigate the impact of loss of support on pavement vibration induced by moving loads with reference to the frequency spectrum. The impact of loading conditions, including loading position and speed, was also studied using the same methods. The results indicate that both loss of support and loading characteristics have a considerable effect on the distribution of the frequency spectrum. It is proved that weighted frequency can be utilized for assessment of support conditions under a specific loading condition. It is suggested the loading position needs to be close to the measurement point (distance < 0.3 m) to obtain stable and reliable data for assessment of support conditions. In addition, the loading speed should be adequately fast and steady (4 to 5 m/s) to ensure the significance of the effect of loss of support. A field test was conducted in an airport, and the novel assessment method was validated by comparing it with a conventional deflection-based method. The novel method proved to be reliable for implementation in practice.

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Comparative Numerical Analysis of Elastic and Viscoelastic Properties in Warm Mix Asphalt

Kamdem,

Abejide,

Adedeji

2024

Lecture Notes in Civil Engineering

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Assessment of concrete pavement support conditions using distributed optical vibration sensing fiber and a neural network

Cited by 25 publications

References 18 publications

Integration of Smart Pavement Data with Decision Support Systems: A Systematic Review

Integration of Smart Pavement Data with Decision Support Systems: A Systematic Review

Novel Assessment Method for Support Conditions of Concrete Pavement under Traffic Loads using Distributed Optical Sensing Technology

Comparative Numerical Analysis of Elastic and Viscoelastic Properties in Warm Mix Asphalt

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