Study on the Influence Factors of Dynamic Modulus and Phase Angle of Dense Gradation Polyurethane Mixture

Zhao, Haisheng; Zhang, Wensheng; Cui, Shiping; Ma, Shijie; Miao, Baoji; Di, Enzhou; Wang, Xiaoyan; Su, Chunhua; Wei, Jincheng; Liu, Shan

doi:10.3390/coatings13020474

Cited by 5 publications

(4 citation statements)

References 29 publications

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“…The variation of the phase angle can significantly affect the mechanical properties of the materials. As the phase angle approaches 180°, the stiffness tends to decrease, while the damping capacity increases [24]. This evaluation is relevant for the design and development of materials with specific properties, such as structural density, as they are derived from changes in the intermolecular interactions between bitumen and aggregates, which influence the mechanical properties of the mixtures.…”

Section: Dynamic Stiffness Resultsmentioning

confidence: 99%

Dynamic stiffness analysis of asphalt mixtures for nondestructive pavement performance assessment

Apaza Apaza,

Vázquez Fernandez,

E. Paje

et al. 2023

Earth Resources and Environmental Remote Sensing/Gis Applications XIV

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Ground-based Non-Destructive Testing (NDT) has been developed as an effective tool for non-invasiveness pavement performance assessment. It is well known that asphalt pavement properties such as density and void content are important parameters that directly affect pavement quality and durability. The dynamic stiffness method is an innovative NDT testing technique which measures dynamic response of the material. In this work, laboratory experimental data about the dynamic stiffness are collected by standardized tests on laboratory Marshall cylindrical bituminous samples. The method performs the analysis of the sinusoidal excitation spectrum (frequency and amplitude) in two random and continuous sweep signals. Both signal are compared for the determination of the bulk density and air void content of the asphalt mixtures. The results show that, by using the dynamic stiffness test, it is possible to generate models with high accuracy in determining the densities and void contents of different bituminous mixtures. Therefore, this method can be potentially considered as an effective non-invasiveness tool for evaluating pavement quality and durability. This research paves the way for the development of a novel procedure introducing several advances implementing a ground-based Non-Destructive Testing (NDT) method based on "dynamic stiffness" for a more effective assets monitoring focused on road pavements.

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Section: Dynamic Stiffness Resultsmentioning

confidence: 99%

Dynamic stiffness analysis of asphalt mixtures for nondestructive pavement performance assessment

Apaza Apaza,

Vázquez Fernandez,

E. Paje

et al. 2023

Earth Resources and Environmental Remote Sensing/Gis Applications XIV

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“…The specimen fabricating and dynamic modulus test both followed the procedure and requirements in the literature [42]. The specimens were compacted 100 times by the Superpave gyratory compactor (SGC) (Pine Test Equipment, Inc., Grove City, PA, USA); after compacting, the specimens were cored and sawed into the dimension of 150 mm in height and 100 mm in diameter.…”

Section: Methodsmentioning

confidence: 99%

Study on the Phase Angle Master Curve of the Polyurethane Mixture with Dense Gradation

Zhao

Wang

Cui³

et al. 2023

Coatings

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The phase angle master curve of the PU mixture is a new research field that is urgently needed to characterize the viscoelastic of the PU mixture under different conditions. In this paper, five master curve models, five shift factor equations, and four error minimization methods were introduced to fitting the phase angle master curve of the PU mixture. The results analysis indicated that the master curves fitted by different error minimization methods had small differences when the loading frequency was higher than 10−3 Hz. The R2 maximization as the main constraint and the others as the additional constraints were recommended as the error minimization method. The combination of the Christensen Anderson and Marasteanu model (CAM) and kaelble shift factor equation was recommended for fitting the phase angle master curve of the PU mixture. The phase angle master curve of the PU mixture did not follow the “Bell” shape of the asphalt mixture. The PU mixture with smaller temperature susceptibility would still be subject to the PU at higher temperatures and was closer to that of the viscoelastic material. The phase angle master curve construction was analyzed for the first time and proper master curve fitting parameters were recommended for pavement performance predicting and analyzing.

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“…The specimen fabricating and dynamic modulus test both followed the procedure and requirements in the literature [55]. The fabricating of the specimens was as follows: the aggregate, filler, and PU binder were mixed at room temperature, and the PU mixture was kept at room temperature (below 30 • C) for 1.5 h before the compacting procedure.…”

Section: Methodsmentioning

confidence: 99%

Study on the Construction of Dynamic Modulus Master Curve of Polyurethane Mixture with Dense Gradation

Zhao

Gao²,

Cui³

et al. 2023

Coatings

Self Cite

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The PU mixture considered here is a new kind of pavement material with excellent road performance, which lacks study into its dynamic mechanical and viscoelastic properties. In this study, the dynamic modulus of the polyurethane (PU) mixture was fitted by using five master curve models, five shift factor equations, and four error minimization methods. According to test results, the log–log plot form was able to more effectively display the differences between master curves. The solver method, the sum of square error minimization (≤0.02), proved to be more appropriate and accurate with higher fitting parameter results. The line of equality statistic and Pearson linear correlation analysis results demonstrated that WLF and Kaelble equations were appropriate for five master curve models with trend line R2 values higher than 0.98. The GLS and SCM model with the WLF equation had the most accurate master curve fitting results. The dynamic modulus master curve shape of the PU mixture did not follow the traditional smooth “S” shape and did not show the ultimate dynamic modulus at extreme frequency. The viscoelasticity of the PU mixture is quite different from that of the asphalt mixture. This study recommended the most accurate error minimization method, the master curve model, and shift factor equations for characterizing the dynamic properties of the PU mixture.

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Study on the Influence Factors of Dynamic Modulus and Phase Angle of Dense Gradation Polyurethane Mixture

Cited by 5 publications

References 29 publications

Dynamic stiffness analysis of asphalt mixtures for nondestructive pavement performance assessment

Dynamic stiffness analysis of asphalt mixtures for nondestructive pavement performance assessment

Study on the Phase Angle Master Curve of the Polyurethane Mixture with Dense Gradation

Study on the Construction of Dynamic Modulus Master Curve of Polyurethane Mixture with Dense Gradation

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