Effect of Coarse Recycled Aggregate on Failure Strength for Asphalt Mixture Using Experimental and DEM Method

Yao, Yongsheng; Li, Jue; Liang, Chenghao; Hu, Xiao

doi:10.3390/coatings11101234

Cited by 12 publications

(4 citation statements)

References 39 publications

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“…Furthermore, the fatigue performance of PC is affected by the interlocking effect of the aggregate structure and the interfacial properties [ 41 ]. Through experiments and numerical analysis [ 37 ], Yao, et al [ 42 ] found that the shape characteristics of aggregate are related to the stress dependence of deformation behavior. The univariate predictor variables of coefficient K 2 were screened using the Bootstrap Forest model in Figure 7 .…”

Section: Resultsmentioning

confidence: 99%

Fatigue Properties and Its Prediction of Polymer Concrete for the Repair of Asphalt Pavements

Ren

2022

Polymers

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Polymer concrete (PC) is considered a promising repair material for asphalt pavement, since it has excellent paving performance and water stability. Although the mechanical properties of PC have been widely researched, the fatigue behavior of PC under traffic loads was still poorly understood. To predict the fatigue life and optimize the material design of PC, the semi-circular bending (SCB) tests were performed, considering different polymer content, sand ratio, aggregate features and stress condition. Two typical polymer materials were applied to prepare PC specimens, including epoxy resin (ER) and polyurethane (PU). The aggregate features were analyzed by the aggregate image measurement system. The mechanical behavior under repeated loads was investigated by the displacement, fatigue life and stiffness modulus. Results show that the flexural strength increases nonlinearly with the increasing polymer content, rapidly at first, and then slowly. The optimized polymer content and sand ratio were respectively 15% and 30%. As the loading number increases, the vertical displacement of PC shows three stages, i.e., undamaged stage, damage development stage, and fatigue failure stage. The stiffness modulus of the specimen is stress-dependent. An empirical model was developed to predict the fatigue life of PC, which can effectively capture the effects of the polymer content, sand ratio and stress level (or nominal stress ratio). It suggests that the fatigue life has a strong correlation with the mixing gradation, and the optimal sand ratio of PC can be determined by the proposed function. Moreover, the effect of aggregate shapes cannot be neglected.

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Section: Resultsmentioning

confidence: 99%

Fatigue Properties and Its Prediction of Polymer Concrete for the Repair of Asphalt Pavements

Ren

2022

Polymers

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“…[14] Similarly, Yao et al applied the DEM to simulate asphalt concrete specimens and developed a corresponding model to predict the failure strength of the asphalt mixture. [15] Ge et al employed the DEM to investigate the mechanical properties of asphalt mixture at the particle level and demonstrated its ability to accurately analyze related particles. [16] Thus, the DEM is widely utilized in asphalt mixture research, with proven efficacy in particle analysis.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Particle Distribution for Asphalt Mixtures in Screw Conveyer of Paver Based on Discrete Element Method and Response Surface Methodology

Zhang³

et al. 2023

Advcd Theory and Sims

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To improve the uniformity of asphalt mixtures, optimizing the particle distribution is essential, and the screw conveyor of paver plays a critical role in this process. In this regard, a parameter optimization strategy based on the discrete element method and response surface methodology (RSM) is proposed. First, a discrete element model is developed for spiral material separation and asphalt mixture particles. Next, uniformity evaluation indicators are used to analyze the impact of individual parameters on particle uniformity. Then, simulation experiments are conducted under varying material level coefficients and rotational speeds, and a regression model is developed to analyze the impact of coupling factors using RSM. Afterward, different algorithms are employed to optimize the parameters of the model, and the results show that the particle swarm optimization algorithm is better than the traditional hill climbing algorithm. Last, field tests are conducted to verify the feasibility of the proposed optimization strategy. The optimal theoretical parameter of the material level coefficient is 0.95, and the rotational speed is 53 rpm. Overall, the proposed strategy offers an effective and accurate model for simulating the process of particle separation, which can lead to improved uniformity of asphalt mixtures.

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“…The test results show that optimizing the particle gradation of the aggregate can comprehensively improve the performance of RAC, which can effectively improve its hardening density, compressive strength, and splitting tensile strength, thus improving its durability. In summary, a large number of research results [18][19][20][21] show that particle gradation has an important effect on the performance of various building materials. Good particle gradation can effectively improve the mechanical properties of materials, and improve their permeability and durability.…”

Section: Introductionmentioning

confidence: 99%

Experimental Research on the Mechanical Properties of Recycled Aggregate Particle Gradation and Addition on Modified Cement Soil

Tao

et al. 2022

Crystals

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In order to study the effects of recycled aggregate with different particle gradations and different contents on the mechanical properties of cement soil modified by nano-MgO, unconfined compressive strength and scanning electron microscope (SEM) tests were carried out. The cement content was fixed at 15% and the nano-MgO content was 1.5%. The effects of two ages, three recycled aggregate contents, and three recycled aggregate particle gradations were considered. The test results show that the unconfined compressive strength of natural graded (RA), recycled coarse aggregate (SRA), and recycled fine aggregate (TRA) reached the maximum when the content of recycled aggregate was 20%, and the unconfined compressive strength of SRA was higher than that of TRA and RA. The residual strength of RA and SRA samples first increased and then decreased with the increase in recycled aggregate content, and the residual strength of TRA samples increased gradually with the increase in recycled aggregate content. The variation law of peak strain and peak strength of the three particle graded samples was consistent, and the variation law of brittle failure degree was highly consistent with that of residual strength. When the recycled aggregate content of RA, SRA, and TRA samples was 20%, the deformation resistance and stiffness of the samples were the best. In addition, SRA samples showed the best deformation resistance, followed by TRA samples and, finally, RA samples. The smaller the porosity of the sample, the tighter the sample structure and the stronger the bearing capacity of SRA. The unconfined compressive strength of the WPRA sample was represented by an exponentially negative power function of the porosity.

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Effect of Coarse Recycled Aggregate on Failure Strength for Asphalt Mixture Using Experimental and DEM Method

Cited by 12 publications

References 39 publications

Fatigue Properties and Its Prediction of Polymer Concrete for the Repair of Asphalt Pavements

Fatigue Properties and Its Prediction of Polymer Concrete for the Repair of Asphalt Pavements

Optimization of Particle Distribution for Asphalt Mixtures in Screw Conveyer of Paver Based on Discrete Element Method and Response Surface Methodology

Experimental Research on the Mechanical Properties of Recycled Aggregate Particle Gradation and Addition on Modified Cement Soil

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