Macro-meso multiscale analysis of asphalt concrete in different laboratory compaction methods and field compaction

Zhao, Xu; Niu, Dongyu; Zhang, Peng; Niu, Yanhui; Xia, Huiyun; Liu, Pengfei

doi:10.1016/j.conbuildmat.2022.129607

Cited by 9 publications

(2 citation statements)

References 50 publications

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“…Although there are some studies on the influence of temperature on the compaction process [7][8][9], it is not easy to reveal the effect of temperature on the compaction process from the mesoscale mechanism. This is due to the complex interaction between the aggregates inside the asphalt mixture [10,11]; few methods are available to directly perceive the true dynamic response between aggregates during compaction. Therefore, it is necessary to study the influence of temperature on the compaction process through engineering field as well as indoor tests.…”

Section: Introductionmentioning

confidence: 99%

Study on the Compaction Performance and Its Key Influencing Factors of Asphalt Mixture Based on Intelligent Sensing Techniques

Wang

2023

Journal of Sensors

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Real-time and accurate compaction quality monitoring is one of the key steps in the pavement construction. In this study, the effect of roller passes and temperature on the compactness of asphalt mixtures and its uniformity is discussed using the semivariance function. Further, the indoor asphalt mixture gyratory compaction test was carried out based on the embedded SmartRock sensor, with the aim of monitoring the changes in rotation and contact forces between aggregates. In addition, the effect of temperature on the dynamic response of SmartRock is discussed, and the compaction mechanism of asphalt mixtures is investigated from a microscopic scale. It is found that compaction degree and uniformity are not always positively correlated with the number of roller passes and that excessive compaction leads to a decrease in compaction effect; meanwhile, the variation in the compactness of asphalt mixtures can be characterized by the dynamic response of SmartRock, which providing a feasible method for real-time monitoring of the compaction process and optimization of the construction plan.

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Section: Introductionmentioning

confidence: 99%

Study on the Compaction Performance and Its Key Influencing Factors of Asphalt Mixture Based on Intelligent Sensing Techniques

Wang

2023

Journal of Sensors

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“…Several studies have shown [1][2][3] that the pavement texture has a significant relationship with skid resistance, noise mitigation, compaction uniformity, and even driving safety [4][5][6]. Among the many phenomena observed in research and experimentation, the quality of the compaction will affect the surface texture condition of the pavement [7,8]. Furthermore, early damage of asphalt pavement is closely related to the quality of pavement compaction [9].…”

Section: Introductionmentioning

confidence: 99%

Study of Pavement Macro- and Micro-Texture Evolution Law during Compaction Using 3D Laser Scanning Technology

Lin

Dong

et al. 2023

Applied Sciences

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The pavement macro-texture and micro-texture are crucial factors for evaluating pavement performance as they have a significant correlation with friction, water film formation, and driving safety. During pavement construction, the macro-texture and micro-texture are significantly related to compaction operations. However, the current approach for evaluating pavement texture still relies on post-construction acceptance, with few considerations on the evolution patterns of pavement texture during the compaction process. Therefore, this study aimed to investigate the texture evolution law during compaction by implementing a laboratory compaction method. High-precision texture data from various asphalt mixtures were collected using 3D laser scanning during laboratory compaction. Macro-texture and micro-texture parameters were used to evaluate surface texture. Nineteen traditional geometric parameters were calculated at the macro-level to analyze macro-texture characteristics, while a 2D wavelet transform approach was applied at the micro-level to extract micro-texture, and the energy of each level and relative energy were calculated as indicators. This study analyzed the evolution law of parameters and found that certain parameters tend to converge. Moreover, geometric parameters and energy at lower levels of the samples could be utilized as supervising factors to regulate the compaction process.

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Algorithms to create realistic virtual asphalt mixtures

Wan,

Garcia-Hernández,

Dopazo-Hilario

et al. 2024

Computers & Structures

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Macro-meso multiscale analysis of asphalt concrete in different laboratory compaction methods and field compaction

Cited by 9 publications

References 50 publications

Study on the Compaction Performance and Its Key Influencing Factors of Asphalt Mixture Based on Intelligent Sensing Techniques

Study on the Compaction Performance and Its Key Influencing Factors of Asphalt Mixture Based on Intelligent Sensing Techniques

Study of Pavement Macro- and Micro-Texture Evolution Law during Compaction Using 3D Laser Scanning Technology

Algorithms to create realistic virtual asphalt mixtures

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