Implementation of polymer optical fibre sensor system for monitoring water membrane thickness on pavement surface

Bi, Yanqiu; Pei, Jianzhong; Guo, Fei; Li, Rui; Zhang, Jiupeng; Shi, Ning

doi:10.1080/10298436.2019.1652298

Cited by 6 publications

(4 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this analysis, a distinction was made between sensors embedded into the pavement [46][47][48][49][50][51][52] and those applied directly on the pavement surface [42][43][44]. These monitoring systems focus either on the monitoring of the propagation of concealed cracks [42,43,46,48], or on the estimation of structural capacity [47,[49][50][51][52]57] influenced by pavement parameters that can be measured by specific sensors, such as strain, temperature, or moisture gauges.…”

Section: Embedded Methodsmentioning

confidence: 99%

“…Nevertheless, embedded methods are not exclusive to the monitoring of structural condition, as these systems have also been used to monitor functional aspects. In this line of work, Bi et al [44] developed an optical fiber-based monitoring system for tracking the water membrane thickness on the pavement surface, which has a relevant impact on user safety as a consequence of potentially affecting the pavement skid resistance.…”

Section: Embedded Methodsmentioning

confidence: 99%

See 1 more Smart Citation

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

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.

show abstract

Section: Embedded Methodsmentioning

confidence: 99%

Section: Embedded Methodsmentioning

confidence: 99%

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

“…In-pavement monitoring [11] Directly measuring waterfilm thickness by the embedded sensor The pipeline of the proposed method is illustrated in Figure 1. A vehicle-mounted LiDAR system firstly captures the 3D profile of the road.…”

Section: Rationale Road Destructive Measurement Range Precisionmentioning

confidence: 99%

“…Plenty of sensors were developed since 1991. In recent years, the emerging optical fiber sensor technology is becoming the research focus due to its advantages of real-time high-precision and longterm monitoring [11][12][13]. However, it is still challenging to estimate large-scale waterfilm thickness because the optical fiber sensor can only measure the thickness at single points.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Highway Hydroplaning Risk Based on 3D Laser Scanning and Water-Film Thickness Estimation

Yang

Tian

Fang

et al. 2022

IJERPH

View full text Add to dashboard Cite

Hydroplaning risk evaluation plays a pivotal role in highway safety management. It is also an important component in the intelligent transportation system (ITS) ensuring human driving safety. Water-film is the widely accepted vital factor resulting in hydroplaning and thus continuously gained researchers’ attention in recent years. This paper provides a new framework to evaluate the hydroplaning potential based on emerging 3D laser scanning technology and water-film thickness estimation. The 3D information of the road surface was captured using a vehicle-mounted Light Detection and Ranging (LiDAR) system and then processed by a wavelet-based filter to remove the redundant information (surrounding environment: trees, buildings, and vehicles). Then, the water film thickness on the given road surface was estimated based on a proposed numerical algorithm developed by the two-dimensional depth-averaged Shallow Water Equations (2DDA-SWE). The effect of the road surface geometry was also investigated based on several field test data in Shanghai, China, in January 2021. The results indicated that the water-film is more likely to appear on the rutting tracks and the pavement with local unevenness. Based on the estimated water-film, the hydroplaning speeds were then estimated to represent the hydroplaning risk of asphalt pavement in rainy weather. The proposed method provides new insights into the water-film estimation, which can help drivers make effective decisions to maintain safe driving.

show abstract

Pavement performance data

Dong,

Chen,

Huang

2024

Data Analysis in Pavement Engineering

View full text Add to dashboard Cite

Implementation of polymer optical fibre sensor system for monitoring water membrane thickness on pavement surface

Cited by 6 publications

References 26 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

Evaluation of Highway Hydroplaning Risk Based on 3D Laser Scanning and Water-Film Thickness Estimation

Pavement performance data

Contact Info

Product

Resources

About