Research on the Quality of Asphalt Pavement Construction Based on Nondestructive Testing Technology

Chen, Wei; Hu, Guiling; Han, Wenyang; Zhang, Xiaomeng; Wei, Jincheng; Xu, Xizhong; Yan, Xiangpeng

doi:10.3390/coatings12030379

Cited by 6 publications

(5 citation statements)

References 25 publications

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“…After measurement, a randomly selected area of 50 m in length and 7.5 m in width was studied and analyzed. The research area was divided into 0.5 m × 0.5 m squares [2] with 1500 squares, with the average of the temperatures measured in each square taken as the measured value for that square, as shown in Figure 10.…”

Section: On-site Measurementsmentioning

confidence: 99%

“…Due to the rapid development of China's roads, the volume of traffic that must be carried on these roads has also increased, leading to a significant increase in the occurrence of damage to the road surface, resulting in travel inconveniences. Therefore, construction quality control has become a significant issue for the durability of asphalt pavements [2]. One reason for the various issues with asphalt pavements is the difficulty in controlling the temperature of the asphalt mixture during the paving process [3], as the temperature of the asphalt mixture must be strictly controlled during transportation and paving to prevent temperature segregation in the asphalt pavement.…”

Section: Introductionmentioning

confidence: 99%

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Research on the Road Performance of Asphalt Mixtures Based on Infrared Thermography

Chen

Wei

et al. 2022

Materials

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Temperature segregation during the paving of asphalt pavements is one of the causes of asphalt pavement distress. Therefore, controlling the paving temperature is crucial in the construction of asphalt pavements. To quickly evaluate the road performance of asphalt mixtures during paving, in this work, we used unmanned aerial vehicle infrared thermal imaging technology to monitor the construction work. By analyzing the temperature distribution at the paving site, and conducting laboratory tests, the relationship between the melt temperature, high-temperature stability, and water stability of the asphalt mix was assessed. The results showed that the optimal temperature measurement height for an unmanned aerial vehicle (UAV) with an infrared thermal imager was 7–8 m. By coring the representative temperature points on the construction site and then conducting a Hamburg wheel tracking (HWT) test, the test results were verified through the laboratory test results in order to establish a prediction model for the melt temperature and high-temperature stability of y = 10.73e0.03x + 1415.78, where the predictive model for the melt temperature and water was y = −19.18e−0.02x + 98.03. The results showed that using laboratory tests combined with UAV infrared thermography could quickly and accurately predict the road performance of asphalt mixtures during paving. We hope that more extensive evaluations of the roadworthiness of asphalt mixtures using paving temperatures will provide reference recommendations in the future.

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Section: On-site Measurementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on the Road Performance of Asphalt Mixtures Based on Infrared Thermography

Chen

Wei

et al. 2022

Materials

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“…The non-destructive testing technique for pavement, as an advanced road monitoring technique, has been widely used due to its high-detective accuracy, high-efficiency and non-destructive property [8,9]. The non-destructive testing equipment was used to detect asphalt pavement conditions by producing an external electric field in the pavement and resulting in the polarization of pavement materials [10][11][12]. Hidden defects inside the pavement structure can also be observed with various dielectric constants [13].…”

Section: Introductionmentioning

confidence: 99%

Dielectric model of asphalt pavement materials towards the future electrified road

Wang

et al. 2023

Phil. Trans. R. Soc. A.

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The dielectric properties of asphalt mixture are crucial for future electrified road (e-road) and pavement non-destructive detection. Few investigations have been conducted on the temperature and frequency influencing the dielectric properties of asphalt pavement materials. The development of e-road requires more accurate prediction models of pavement dielectric properties. To quantify the influence of temperature and frequency on the dielectric properties of asphalt mixtures, the dielectric constants, dielectric loss factor and dielectric loss tangents of aggregate, asphalt binders and asphalt mixtures were tested over the temperature range of −30 to 60°C and frequency range of 200 to 2 000 000 Hz. The results showed that the dielectric constants and dielectric loss factors of aggregate, asphalt binders and asphalt mixtures vary linearly with temperature, while the growth rates vary with the frequency. A model based on nonlinear fitting was first presented to estimate the dielectric loss factor, and another prediction model of the dielectric constant of asphalt mixtures considering the temperature impact was proposed afterwards. Compared with classical models, the average relative error of the proposed model of the dielectric constant is the smallest and is less sensitive to the asphalt mixture. This investigation can cast light on the utilization of non-destructive pavement testing and is potentially valuable for e-road using the electromagnetic properties of asphalt pavement materials. This article is part of the theme issue 'Artificial intelligence in failure analysis of transportation infrastructure and materials'.

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“…Currently, a wide range of methods have been developed for void detection, including impulse response technology [2,3] , acoustic vibration method [4] , distributed optical vibration sensing [5] and ground penetrating radar (GPR) method [6,7] . Among them, GPR is the most effective NDT technology in pavement void detection, and GPR has been widely used in detecting pavement defect [8] , structural thickness [9] , rebar [10,11] , and etc.…”

Section: Introductionmentioning

confidence: 99%

Cement pavement void detection algorithm based on GPR signal and continuous wavelet transform method

qiuqin¹,

youxin

tingyi³

et al. 2023

Preprint

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The dimension of the void area in pavement is crucial to its structural safety. However, there is no effective method to measure its geometric parameters. To address this issue, a void size extraction algorithm based on the continuous wavelet transform (CWT) method was proposed using ground-penetrating radar (GPR) signal. Firstly, the Finite-Difference Time-Domain (FDTD) method was used to investigate void areas with different shapes, sizes, and depths. Next, the GPR signal was processed using the CWT method, and a 3D image of the CWT result was used to visualize the void area. Based on the differences between the void and normal pavement in the time and frequency domains, the signal with maximum energy at the CWT time-frequency result was extracted and combined to reconstruct the B-scan image, where void areas have energy concentration phenomenon, which represent the location of the void area. And width and depth of void detection algorithm was proposed to recognize the energy concentration area. Finally, the detection algorithm was verified both in numerical model and physical lab model. The results indicated that the CWT time-frequency energy spectrum can be used to enhance the void feature, and the 3D CWT image can clearly visualize the void area with a highlighted energy area. After fully testing and validating in numerical and lab models, our proposed method achieved high accuracy for void width and depth extraction, providing a precise method for estimating void dimension in pavement. This method can guide DOT departments to carry out pre-maintenance, thereby ensuring pavement safety.

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Research on the Quality of Asphalt Pavement Construction Based on Nondestructive Testing Technology

Cited by 6 publications

References 25 publications

Research on the Road Performance of Asphalt Mixtures Based on Infrared Thermography

Research on the Road Performance of Asphalt Mixtures Based on Infrared Thermography

Dielectric model of asphalt pavement materials towards the future electrified road

Cement pavement void detection algorithm based on GPR signal and continuous wavelet transform method

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