Characterization of Air Voids Distribution in the Open-Graded Asphalt Mixture Based on 2D Image Analysis

Xu, Guangji; Chen, Xiao; Huang, Xiaoming; Ma, Tao; Zhou, Wei

doi:10.3390/app9194126

“…From Figures 4-6, it can be seen that the distribution range of the equivalent diameter of OGFC mixture voids is roughly between 0 and 10 mm, and most of the voids are distributed in the range of 1∼4 mm, accounting for about 70%. e results are very close to those of [29]. eir research results shows voids with 0∼4 mm equivalent aperture account for the largest proportion in the open-graded asphalt mixture.…”

Section: Void Equivalent Diameter Distributionsupporting

confidence: 82%

Study on Damage of the OGFC Mixture Based on Characteristics of Void Distribution

Xu-qiu

¹

,

Zhao

²

,

Zhang

³

2022

Advances in Materials Science and Engineering

0

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The void distribution characteristics of the drainage asphalt mixture have a certain influence on its durability. In this paper, X-ray CT technology and digital image processing technology are used to study the void distribution characteristics of three different graded asphalt mixtures, and the void ratio, void quantity, void equivalent diameter, and void fractal dimension of drainage asphalt mixtures are determined. On this basis, the damage characteristics of the asphalt mixture are analyzed with the split strength as the index, and the relationship between the void fractal dimension and the split strength is established. The relationship between the void diameter and the durability of the OGFC mixture is determined by the influence of the void diameter on the void fractal dimension. The results show that the void distribution characteristics of the OGFC mixture have a significant impact on its durability. The void larger than 3 mm in OGFC asphalt mixture has a greater impact on the durability of asphalt mixture. Even if the void ratio of different OGFC mixtures is relatively close, its durability is also very different. The difference in durability is mainly due to the difference of the void structure and the proportion of the number of large voids above 5 mm.

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“…The simplicity, availability, ability to capture high-quality images, and low cost of digital cameras have motivated researchers to use them to analyze the internal structure of AC mixtures. By generating digital samples from optically scanned surface images of laboratory-prepared asphalt specimens, Xu G et al [10] captured the microstructure of stone-based materials. Through image processing techniques, Sun P et al [11] extracted valuable information regarding the distribution and size of pores within AC mixtures, as well as their connectivity.…”

Section: Ac Microstructure Analysis Using Digital Cameramentioning

confidence: 99%

Using Imaging Techniques to Analyze the Microstructure of Asphalt Concrete Mixtures: Literature Review

Alawneh

¹

,

Soliman

²

2023

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The performance of asphalt concrete (AC) mixtures depends highly on their internal structure and the interaction of the mixture components under different loading conditions. Imaging techniques provide effective tools that can assess the microstructure and failure mechanisms of materials. Imaging techniques have been used in recent research studies to examine and analyze the evolution of the internal structure of AC mixtures resulting from traffic and environmental loading. Increasing knowledge of the microstructural properties and mechanical behaviour of AC mixtures could improve the design process and enable researchers to develop more accurate prediction models for the long-term performance of pavements. This paper reviews three imaging techniques which were used to characterize the microstructure of AC mixtures. These three imaging techniques are digital camera imaging, scanning electron microscope (SEM) imaging, and X-ray computed tomography (CT) scan. Extensive insight has been presented into these imaging techniques, including their principles, methods, sample preparation, and associated instruments. This review provides guidelines for future research on using these imaging techniques to analyze the microstructure of AC mixtures and assess their long-term performance.

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“…Advances in technology have also enabled the monitoring of asphalt mixture density through radar technology 20 , 21 , with improvements in VA percentage measurements being made utilizing a ground-penetrating radar (GPR) array system as demonstrated by Hoegh et al 22 . Additionally, the distribution of VA within open-grade asphalt mixtures has been explored through x-ray computed tomography and image analysis 23 – 25 . Understanding the dynamics of VA after construction is crucial for predicting the pavement performance and potential failures.…”

Section: Introductionmentioning

confidence: 99%

A formulation for asphalt concrete air void during service life by adopting a hybrid evolutionary polynomial regression and multi-gene genetic programming

Ghanizadeh,

Amlashi,

Bahrami

et al. 2024

Sci Rep

1

0

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Bitumen, aggregate, and air void (VA) are the three primary ingredients of asphalt concrete. VA changes over time as a function of four factors: traffic loads and repetitions, environmental regimes, compaction, and asphalt mix composition. Due to the high as-constructed VA content of the material, it is expected that VA will reduce over time, causing rutting during initial traffic periods. Eventually, the material will undergo shear flow when it reaches its densest state with optimum aggregate interlock or refusal VA content. Therefore, to ensure the quality of construction, VA in asphalt mixture need to be modeled throughout the service life. This study aims to implement a hybrid evolutionary polynomial regression (EPR) combined with a teaching–learning based optimization (TLBO) algorithm and multi-gene genetic programming (MGGP) to predict the VA percentage of asphalt mixture during the service life. For this purpose, 324 data records of VA were collected from the literature. The variables selected as inputs were original as-constructed VA, $${VA}_{orig}$$ VA orig (%); mean annual air temperature, $$MAAT$$ MAAT (°F); original viscosity at 77 °F, $${\eta }_{orig,77}$$ η o r i g , 77 (Mega-Poises); and $$time$$ time (months). EPR-TLBO was found to be superior to MGGP and existing empirical models due to the interquartile ranges of absolute error boxes equal to 0.67%. EPR-TLBO had an R2 value of more than 0.90 in both the training and testing phases, and only less than 20% of the records were predicted utilizing this model with more than 20% deviation from the observed values. As determined by the sensitivity analysis, $${\eta }_{orig,77}$$ η o r i g , 77 is the most significant of the four input variables, while time is the least one. A parametric study showed that regardless of $$MAAT$$ MAAT , $${\eta }_{orig,77},$$ η o r i g , 77 , of 0.3 Mega-Poises, and $${VA}_{orig}$$ VA orig above 6% can be ideal for improving the pavement service life. It was also witnessed that with an increase of $$MAAT$$ MAAT from 37 to 75 °F, the serviceability of asphalt concrete takes 15 months less on average.

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Characterization of Air Voids Distribution in the Open-Graded Asphalt Mixture Based on 2D Image Analysis

Cited by 7 publications

References 29 publications

Study on Damage of the OGFC Mixture Based on Characteristics of Void Distribution

Study on Damage of the OGFC Mixture Based on Characteristics of Void Distribution

Using Imaging Techniques to Analyze the Microstructure of Asphalt Concrete Mixtures: Literature Review

A formulation for asphalt concrete air void during service life by adopting a hybrid evolutionary polynomial regression and multi-gene genetic programming

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