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Ximao Ding

Bio: Ximao Ding is an academic researcher. The author has contributed to research in topics: Composite number & Composite material. The author has an hindex of 1, co-authored 1 publications receiving 2 citations.

Papers
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Journal ArticleDOI
Guangji Xu1, Fan Jianwei1, Tao Ma1, Wei Zhao, Ximao Ding, Zhiwen Wang 
TL;DR: In this article, the authors used the concept of actual crushing proportion (ACP) to calculate the crushing degree of aggregate in mixture under load and found that the optimum asphalt content of limestone PAC-16 was higher than that of basalt mixture.

16 citations

Journal ArticleDOI
TL;DR: In this article , a more accurate intelligent compaction quality evaluation index is proposed, Acceleration Intelligent Compaction Value (AICV), based on field measurement data analysis, AICV turned out to be effective to elevate quality evaluation accuracy.
Abstract: Compaction Measurement Value (CMV) is the most widely used quality evaluation index for intelligent compaction. However, with the growth of compaction degree, CMV becomes less accurate due to increased reaction force from densified geomaterials. To solve this problem, this paper proposes a more accurate intelligent compaction quality evaluation index, acceleration intelligent compaction value (AICV). Based on field measurement data analysis, AICV turned out to be effective to elevate quality evaluation accuracy. Additionally, the singularities were detected by 3σ normal distribution in order to assess the uniformity of subgrade compaction quality. Based on the semivariogram analysis method of spatial statistics, CMV and AICV were analyzed for spatial correlation, and the influence range of intelligent compaction technology employed for subgrade was evaluated. The results from this study provide a basis for further research on precision control and uniformity analysis of intelligent compaction technology.

10 citations

Journal ArticleDOI
TL;DR: In this article, the effect of combined carbon black/carbon nanotubes (CB/CNT), graphene nanoplatelet/Carbon nanotube (CNT/GNP) fillers on the self-sensing behavior, morphology, dynamic mechanical performance and thermal properties of epoxy composites was discussed in detail.
Abstract: Sensing materials and devices with high sensitivity are necessary for engineering structure monitoring with the rapid development of intelligent infrastructure. This paper provides a novel approach to develop strain sensor with high sensitivity for pavement deformation monitoring by epoxying composites with hybrid nano/micro fillers. The effect of combined carbon black/carbon nanotubes (CB/CNT), graphene nanoplatelet/carbon nanotubes (CNT/GNP) fillers on the self-sensing behavior, morphology, dynamic mechanical performance and thermal properties of epoxy composites was discussed in detail. The incorporation of secondary CB results in significant improved self-sensing ability in micro-strain range. CB-CNT hybrid fillers show positive synergy effect on enhancement of piezoresistive response, while GNP show less positive effect on sensing behavior. The presence of CB forms the conductive core domain surrounded by CNT and constructs the multi scale conductive network of composites. The addition of two secondary fillers improves dynamic mechanical performance of composites. The self-sensing behavior of composites with combined filler was illustrated by SEM morphology and conductive pathway evolution during tensile deformation. Laboratory test showed that relative resistance changes have a linear relationship with the strain for developed sensor embedded in asphalt mixture. The polymer composite sensor shows strong sensing ability for asphalt concrete strain monitoring.

7 citations

Journal ArticleDOI
TL;DR: In this article , the substitutability and synergy effect of graphene platelets with carbon nanotubes (CNTs), the effect of CNT types with different specific surface areas in epoxy composites to the morphological, electrical, and mechanical properties, and the strain-electrical resistance response peculiarity of composites were evaluated.
Abstract: Situ sensors with high accuracy, long durability, and high survival rate are crucial for the health monitoring of asphalt pavement. Due to the harsh environment during the construction period and service life, the monitoring components which can be buried synchronously with the construction period of the road surface become a difficult problem to be solved urgently. The development of functional composites sheds a new insight for pavement strain detection with remarkable self-sensing behavior. In this paper, the substitutability and synergy effect of graphene platelets with carbon nanotubes (CNTs), the effect of CNT types with different specific surface areas in epoxy composites to the morphological, electrical, and mechanical properties, and the strain-electrical resistance response peculiarity of composites were evaluated. The performance of developed composite sensors with epoxy encapsulation was investigated through laboratory experiments. The morphologies showed that CNT-GNP hybrids in composites present a better dispersion state because of the size effect and synergetic effect whereas the pure CNTs are prone to entangle with each other. Composites with CNT(SSA500) display the most amounts of conductive units in same dosage. CNTs and GNP can strengthen the elastic modulus of the epoxy matrix to basically the same as that of asphalt mixture within the range of 1100–1500 MPa. At last, Laboratory experiments have proved the promising prospect for CNTs-GNP/epoxy composites serving as the strain sensor. The developed composites-based strain sensor can provide a new prospect for asphalt pavement monitoring.

7 citations


Cited by
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TL;DR: In this article , the authors investigated the foaming condition of the foamed warm mix asphalt with crumb rubber (FWMA-CR) binder and evaluated the performance of both the mixture and binder.

22 citations

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TL;DR: In this article , the authors presented three indicators to quantitatively evaluate the characteristics of cold recycled asphalt mixture at different compaction stages, and developed a novel method to determine the locking point of the mixture.

19 citations

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TL;DR: In this paper , the relationship between texture and skid resistance was studied, based on the statistical geometric characteristics, spectral characteristics, fractal characteristics and the multifractal characteristics of pavement texture.
Abstract: To understand the research status of asphalt pavement texture, the related achievements and progress of pavement surface texture were systematically sorted out from three aspects: the characterization of pavement surface texture, the texture measurement and evaluation, and the relationship between texture and the skid resistance. Based on the statistical geometric characteristics, the spectral characteristics, the fractal characteristics and the multifractal characteristics, the characteristics of pavement texture were discussed. The test methods of pavement texture were divided into two categories: direct measurement methods and indirect measurement methods. The advantages and disadvantages of each measurement method were summarized. The effects of macro-texture and micro-texture on asphalt pavement were discussed, respectively. The relationship between texture and skid resistance was studied. This review shows that multifractal theory should be further studied from the aspect of road engineering. High-precision non-contact integrated detection technology should be further studied to meet the needs of complex testing environments. The method of finite element numerical simulation has potential for the analysis of pavement skid resistance. In addition, methods such as big data analysis, neural network, and deep learning should be studied to achieve the intelligent perception and management of the whole state of skid resistance prediction.

12 citations

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TL;DR: In this article, the authors investigated the meso-cracking characteristics of rubberized cement-stabilized aggregate (RCSA) mixtures and quantitatively evaluated the influence of rubber inclusion content and particle size through numerical simulation.

10 citations

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TL;DR: In this paper, a detailed review of the fatigue properties of RAC is presented, where the authors focus on the effect of recycled aggregate (RAs) properties on fatigue properties.

10 citations