Fabrication and performance of a self-powered damage-detection aggregate for asphalt pavement

Ji, Xiaoping; Hou, Yueqin; Chen, Yun; Zhen, Yikang

doi:10.1016/j.matdes.2019.107890

Cited by 19 publications

(13 citation statements)

References 32 publications

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“…The encapsulated PZT/PVDF composite piezoelectric vibrator is called CPA, and the three main steps for fabrication are described as follows; additional details are presented in Ji et al. 33…”

Section: Composite Pzt/pvdf Aggregatementioning

confidence: 99%

“…The optimal ratio of PZT to PVDF was recommended as 60:40, and the relative dielectric constant (ε r ), piezoelectric voltage constant (g 33 ), and compression strength were provided in a previous study. 33 The main properties of the prepared PZT/PVDF composite piezoelectric vibrator are presented in Table 1.…”

Section: Preparation Of the Pzt/pvdf Composite Piezoelectric Vibratormentioning

confidence: 99%

“…To overcome this shortcoming, Ji et al prepared a composite piezoelectric vibrator by blending PZT and polyvinylidene fluoride (PVDF), which has a compressive strength of 16 MPa and satisfactory sensing and driving characteristics. 33 It was found that the coefficient of the acoustic wave attenuation that was obtained from the PZT/PVDF piezoelectric vibrator decreased with the increase of the crack width in asphalt pavement. Thus, the application of acoustic waves to monitor concealed cracks of asphalt pavement is feasible.…”

Section: Introductionmentioning

confidence: 98%

See 2 more Smart Citations

Detecting concealed damage in asphalt pavement based on a composite lead zirconate titanate/polyvinylidene fluoride aggregate

Chen

Hou

et al. 2019

Struct Control Health Monit

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As an important research topic, the utilization of wireless sensors has attracted widespread attention in pavement engineering recently. In this study, a composite lead zirconate titanate/polyvinylidene fluoride aggregate (CPA) was embedded into asphalt pavement to monitor the concealed damage. A CPAbased method for monitoring concealed damage in asphalt pavement cracks was established. According to the analysis of the testing results of the CPAbased method, it was found that (a) for monitoring changes in the crack width, the amplitude attenuation of the signal is more sensitive than the frequency shift. Thus, the amplitude attenuation is selected and recommended as a monitoring indicator. (b) The root mean square deviation (RMSD) of the amplitude, as a more universal indicator, was proposed for increasing the sensitivity. It is independent of the asphalt mixture properties and grows approximately parabolically with the crack width in asphalt pavement. (c) A relationship model between the crack width and the RMSD was established. The maximum absolute and relative errors between the measured and monitored crack widths are 0.18 mm and 4.2 %, respectively, according to the laboratory investigation. This study provides a reference for the development and application of intelligent monitoring for concealed damage in asphalt mixtures.

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Section: Composite Pzt/pvdf Aggregatementioning

confidence: 99%

Section: Preparation Of the Pzt/pvdf Composite Piezoelectric Vibratormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

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Detecting concealed damage in asphalt pavement based on a composite lead zirconate titanate/polyvinylidene fluoride aggregate

Chen

Hou

et al. 2019

Struct Control Health Monit

Self Cite

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“…However, the intelligent sensors have high requirements for ambient temperature and cannot work normally in an environment above 80°C, while the compaction temperature of asphalt pavement is as high as 150°C. Ji et al fabricated the self-powered damage detection aggregate (SPA) by encapsulating the piezoelectric vibrator with epoxy resin, prepared by compositing the piezoelectric ceramics (PZT) and polyvinylidene fluoride [17]. However, the piezoelectric materials need special cables, and self-recovery is slow when subjected to sudden vibration or excessive pressure.…”

Section: Introductionmentioning

confidence: 99%

Study on the Evaluation Standard of Construction Quality for Asphalt Pavement Based on the Intelligent Sensing Aggregate

Zhang

Zheng

2021

Advances in Civil Engineering

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The traditional evaluation method of construction quality for asphalt pavement has gradually lagged behind the pace of development of the road industry. Big data, Internet of Things (IoT), and intelligent sensing technology have been reflected in the field of road engineering, but these technologies also have technical shortcomings in terms of applicability, durability, real-time performance, and portability in practice. To provide a new method for construction quality evaluation of asphalt pavement, this study developed an intelligent sensing aggregate (ISA) with low cost and high precision based on the 3D printing and Internet of Things (IoT) technology. Based on the laboratory test and field test, the sensing characteristics, high-temperature resistance, and mechanical properties of ISA are analyzed to verify the reliability of ISA. Through the quantitative analysis of ISA perception data, the Driving Perception Index (DPI) is proposed. By analyzing the quantitative correlation between the spatial angle of ISA and the compaction degree, the quantitative correlation between the DPI, International Roughness Index (IRI), and the deflection value, the evaluation standard of construction quality for asphalt pavement is established. The result shows that the best baud rate for ISA is 9600 bps, and the corresponding data transmission distance is 350 m. In the range of 6 m, the cars, trucks, trailers, and buses can be perceived by ISA. The maximum operating temperature of ISA is up to 200°C. Embedding ISA into asphalt mixture has no significant effect on original gradation of asphalt mixture. The established evaluation standard of construction quality for asphalt pavement takes into account the compaction quality, the requirements of bearing capacity, and the driving comfort of asphalt pavement, which is suitable for expressway and first-class highway.

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“…Cui et al identified the effect of single morphological variable on the adhesion of aggregate and the mechanical properties of asphalt mixture [ 4 ]. Ji et al fabricated the self-powered damage detection aggregate by encapsulating the piezoelectric vibrator with epoxy resin, prepared by compositing the piezoelectric ceramics and polyvinylidene fluoride to monitor concealed damage to asphalt pavement [ 5 ]. Shi et al conducted in-depth analyses of the mechanisms involved in coarse aggregate movement and rutting subjected to load by using a digital image processing technique [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

A New Method for Compaction Quality Evaluation of Asphalt Mixtures with the Intelligent Aggregate (IA)

Zhang

Wang

2021

Materials

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To provide a new method for the evaluation of the compaction quality of asphalt mixture, a real-time data acquisition and processing system (RDAPS) for the motion state of aggregate with a small volume and high precision is developed. The system consists of an intelligent aggregate (IA), analysis software and hardware equipment. The performance of the IA was tested by regarding data sensitivity, high-temperature resistance, and mechanical properties. A new evaluation method was proposed for evaluating the compaction quality of AC-25 and SMA-25 asphalt mixtures based on an IA. The results show that the best transmission baud rate for the IA was 9600 bps, and the corresponding signal transmission distance was 380 m. Only one IA was needed to complete the state data collection for the aggregate within the asphalt mixture in a circular area, with the IA layout point as the center of the circle and a radius of 5 m. The IA conducted reliable data transmission up to 200 °C; however, its compressive strength decreased with increasing temperature until reaching stability. Traditional aggregate could be replaced by an IA to withstand external forces and internal load transfer. Embedding an IA into AC-25 or SMA-25 asphalt mixtures did not have a significant impact on the original mechanical properties of the mixture. The effect of the gradation type of the asphalt mixture on the IA motion state was not significant. When the compaction degree met the specification requirements, the motion data of the IA did not reach a stable state, and the interlocking effect between aggregates in the asphalt mixture could be further optimized. An evaluation method is proposed based on the IA for the compaction quality of AC-25 and SMA-25 asphalt mixtures with the compaction degree as the main index and the spatial attitude angle and spatial acceleration of the IA as the auxiliary indexes.

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Fabrication and performance of a self-powered damage-detection aggregate for asphalt pavement

Cited by 19 publications

References 32 publications

Detecting concealed damage in asphalt pavement based on a composite lead zirconate titanate/polyvinylidene fluoride aggregate

Detecting concealed damage in asphalt pavement based on a composite lead zirconate titanate/polyvinylidene fluoride aggregate

Study on the Evaluation Standard of Construction Quality for Asphalt Pavement Based on the Intelligent Sensing Aggregate

A New Method for Compaction Quality Evaluation of Asphalt Mixtures with the Intelligent Aggregate (IA)

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