Study on influencing factors of synergistic deformation between built-in strain sensor and asphalt mixture
Source abstract
Abstract
Strain sensor play an irreplaceable role in monitoring the structural response of asphalt pavements. The effective synergistic deformation of sensor and pavement structure is a key foundation to ensure accurate sensor measurements. The differences between sensor and pavement material lead to complex synergistic deformation between them. Therefore, this study intends to investigate the factors that influence the synergistic deformation of the sensor and the asphalt mixture under different operating conditions. The aim is to reveal the working mechanism of sensor and asphalt mixture synergistic deformation and improve the application value of the measured sensor data. Firstly, by using digital image correlation (DIC) technology and direct tensile beam test, a new test method was designed for the synergistic deformation evaluation of sensor and asphalt mixture. Then, the strain response test was carried out on the asphalt mixture specimens with built-in strain sensor under different stress modes such as multi-stress tension axial compression, tension-compression alternation and sinusoidal cycle. Finally, the numerical value monitored by DIC technology was used as strain reference value to calculate the measurement error of the sensor, and then to analyze the evolution of the synergistic deformation of strain sensor and asphalt mixture. The results show that loading mode and magnitude, temperature and sensor position deviation are the key factors that affect the deformation compatibility between the sensor and the asphalt mixture. The loading frequency has less influence on deformation compatibility. The average absolute error E̅a of the sensor measurement increases as the load increases. The measured strain response shows the opposite measurement deviations under multi-stress tension and axial compression. The strain response accuracy of the sensor drops sharply at high temperatures of 30 °C∼50 °C. At this time, the average absolute error of measurement E̅a and the relative error E̅r can be increased by 3.49–11.79 times and 2.01–2.91 times, respectively. The working environment temperature of the high modulus strain sensor in collaboration with the asphalt pavement should be below 30 °C. Deflection of the position of the embedded sensor will cause the measured value to be smaller. When the deflection angle is 12°, the measurement error of the sensor can be increased by 2.43–5.46 times under the same load. The results provide an important reference for solving the technical problems of incompatibility between built-in strain sensor and asphalt pavement, and promoting the sensor technology to deeply enable traditional asphalt pavement structures.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Structural Health Monitoring Techniques · Infrastructure Maintenance and Monitoring · Asphalt Pavement Performance Evaluation
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (32)
Show source-provided references
1. The State-of-the-Art review on applications of intrusive sensing, image processing techniques, and machine learning methods in pavement monitoring and analysis
2. Characteristics and analysis of the mechanical response inside the structure of asphalt pavement10.1360/TB-2020-0233 ↗
3. 2008 MnROAD phase II construction report
4. Chapter 17-Intelligent composite materials for use as sensors and actuators
5. Strain transfer errors of optical fiber sensors embedded in asphalt pavement10.3788/OPE.20152306.1499 ↗
6. Evaluating method of the coordination deformation between asphalt mixture and fiber bragg grating sensor
7. Calibration and evaluation method of synchronized collaborative deformation between asphalt mixture and asphalt strain gauges
8. Study on adaptability of embedded strain gauge for asphalt concrete pavement
9. Strain transfer error analysis of flexible raw-material packaged FBG sensor
10. Structural performance evaluation of airport asphalt pavement based on field data measurement and finite element simulation10.1016/j.measurement.2023.112553 ↗
11. Monitoring internal strains in asphalt pavements under static loads using embedded distributed optical fibers10.1016/j.yofte.2022.102829 ↗
12. Analysis of coordination between asphalt mixture and fiber Bragg grating sensor
13. Studies on the validity of strain sensors for pavement monitoring: a case study for a fiber Bragg grating sensor and resistive sensor10.1016/j.conbuildmat.2021.126085 ↗
14. Measurement accuracy comparison of in-situ asphalt pavement strain sensors based on digital image correlation technique
15. Digital image correlation-based investigation of self-healing properties of ferrite-filled open-graded friction course asphalt mixture10.1016/j.conbuildmat.2019.117378 ↗
16. Fatigue behaviours of asphalt mixture at different temperatures in four-point bending and indirect tensile fatigue tests
17. Dynamic compressive-tensile moduli of asphalt mixture and its applications to pavement response prediction
18. Stress and stiffness characteristics of asphalt mixture under uniaxial tensile stress state
19. D.H. Timm, A.L. Priest, Dynamic pavement response data collection and processing at the NCAT test track, Washington D C: Highway Research Board, NCAT Report 4(3) (2004) 5–9.
20. Analysis of the use of fiber-optic sensors in the road traffic
21. Design and instrumentation of the structural pavement experiment at the NCAT test track
22. Research progress of long-life asphalt pavement behavior based on the RIOHTrack full-scale accelerated loading test10.1360/TB-2020-0287 ↗
23. Field measurements of dynamic strain responses of asphalt pavement on steel deck bridge
24. Investigation of the low-temperature properties and cracking resistance of fiber-reinforced asphalt concrete using the DIC technique
25. Characteristics and analysis of dynamic strain response on typical asphalt pavement using Fiber Bragg Grating sensing technology10.1016/j.conbuildmat.2021.125242 ↗
26. Monte Carlo simulations of deformation behaviour of unbound granular materials based on a real aggregate library10.1080/10298436.2023.2165650 ↗
27. Effect of loading rate on failure characteristics of asphalt mixtures using acoustic emission technique10.1016/j.conbuildmat.2022.129835 ↗
28. Experimental study of the performance of porous ultra-thin asphalt overlay10.1080/10298436.2020.1837826 ↗
29. Dynamic response analysis of asphalt pavement due to combined non-uniform moving load and temperature distribution
30. Technology method and functional characteristics of road thermoelectric generator system based on Seebeck effect10.1016/j.apenergy.2022.120459 ↗
31. Research on the cooperative performance of built-in strain sensor and asphalt pavement structure
32. Experimental investigation on dynamic response of asphalt pavement using SmartRock sensor under vibrating compaction loading10.1016/j.conbuildmat.2020.118592 ↗