Analytical solution for the effect of anisotropic layers/interlayers on an elastic multi-layered medium subjected to moving load

You, Lihua; Yan, Kezhen; Shi, Tingwei; Man, Jianhong; Liu, Nengyuan

doi:10.1016/j.ijsolstr.2019.05.021

Cited by 34 publications

(9 citation statements)

References 35 publications

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“…Most of the design methods of asphalt pavement structures in the world use the mechanics-experience method, which uses mechanical methods to calculate the load response of the pavement structure. It uses homogeneous and isotropic linear elastic mechanics as the mechanical model for structural response calculation [ 9 , 10 , 11 , 12 , 13 ]. The strength, stiffness, and fatigue parameters are essential parameters in calculating the load response and establishing the mechanical model, which plays a vital role in the design of the pavement structure.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Strength and Fatigue Life of Rubber Asphalt Mixture

Yuan

Peng

et al. 2020

Materials

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Strength and fatigue life are essential parameters of pavement structure design. To accurately determine the pavement structure resistance of rubber asphalt mixture, the strength tests at various temperatures, loading rate, and fatigue tests at different stress levels were conducted in this research. Based on the proposed experiments, the change law of rubber asphalt mixture strength with different temperatures and loading rates was revealed. The phenomenological fatigue equation of rubber asphalt mixture was established. The genetic algorithm optimized backpropagation neural network (GA-BPNN) is highly reliable for optimizing production processes in civil engineering, and it has a remarkable application effect. A GA-BPNN strength and fatigue life prediction model was created in this study. The reliability of the prediction model was verified through experiments. The results showed that the rubber asphalt mixture strength decreases and increases with the increase of temperature and loading rate, respectively. The goodness of fit of the rubber asphalt mixture strength and fatigue life prediction model based on the GA-BPNN could reach 0.989 and 0.998, respectively. The indicators of the fatigue life prediction model are superior to the conventional phenomenological fatigue equation model. The GA-BPNN provides an effective method for predicting the rubber asphalt mixture strength and fatigue life, which significantly improves the accuracy of the resistance design of the rubber asphalt pavement structure.

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Section: Introductionmentioning

confidence: 99%

Investigation of Strength and Fatigue Life of Rubber Asphalt Mixture

Yuan

Peng

et al. 2020

Materials

Self Cite

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“…However, the pavement layers are actually heterogeneous and subjected to dynamic and cyclic loadings during normal service. As such, numerical methods are needed to provide better solutions in dynamic analyses of models, taking into consideration the heterogeneity, nonlinearity and orthotropy [20,21]. With the availability of high-speed computers and advanced computer-aided engineering software, numerically computational methods have gained popularity for handling complex geometry, boundary conditions, and material properties.…”

Section: Research Work For Asphalt Materials Begins At the Macromentioning

confidence: 99%

A Review on Multiscale Modeling of Asphalt: Development and Applications

Nie

Chow

Lau

2022

Multiscale Sci. Eng.

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Modeling is an important approach for describing the physical and mechanical properties of asphalt, which can be employed to analyze the properties and optimize the performance of asphalt-based materials. The objective of this review is to elucidate the existing modeling techniques from different scales and summarize the prospects and application of different modeling methods. The continuum model and its practical application at the macroscale are introduced first. However, the macroscopic model cannot explain the roles of the different components in asphalt during the degradation process. The microstructural model at the mesoscale is adopted in order to describe the physical properties of the asphalt mixture, and different numerical methods are presented in order to analyze the microstructural models. Due to the heterogeneous nature of asphalt at the nanoscale, various experimental tools have been used to determine the molecular structures of asphalt. The average model and multi-component model have been proposed in the molecular dynamics simulations. This paper provides a clear understanding of the strength and limitations of each modeling technology at different scales and the applications of multiscale modeling for asphalt materials. The possible challenges of asphalt modeling have been addressed in order to encourage the development of asphalt pavement with higher durability.

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“…As mentioned above, the research on the skid resistance of UTWC mainly focuses on the aggregate characteristics and environmental factors as temperature. Asphalt, as the binder of wearing course mixture, its performance characteristics, and adhesion with aggregate significantly affect the volume parameters of the mixture [25,26]. Hadiwardoyo et al [27] believed that the skid resistance value is also influenced by asphalt characteristics, such as asphalt penetration index, softening point, and ductility.…”

Section: Introductionmentioning

confidence: 99%

Influence of the Skid Resistance of Ultrathin Wearing Course with Various Types of Asphalt Binders

Liu

Guo

Yang

et al. 2020

Advances in Materials Science and Engineering

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Ultrathin wearing course (UTWC) has been widely applied in both asphalt pavements preventive maintenance and functional overlay. This study’s objective is to evaluate the influence of different modified asphalt binders with warm mix additives on the skid resistance of UTWC and to reveal the attenuation law of skid resistance of UTWC. Three types of modified asphalt binders (Styrene-Butadiene-Styrene- (SBS-) modified asphalt, Acrylester Rubber- (AR-) modified asphalt, and SinoTPS-modified asphalt) and sasobit warm mix asphalt additive were selected to prepare asphalt mixtures. The Model Mobile Load Simulator 3 (MMLS3) was used to simulate repeated vehicle loading and abrasion. The British Pendulum Number (BPN) and Mean Texture Depth (MTD) were chosen to evaluate the skid resistance of the UTWC. The Analysis of Range (ANOR) and Analysis of Variance (ANOVA) were used to verify the significance of asphalt binder on the antiskid performance of the UTWC. ANOR and ANOVA show that the influence of different modified asphalt binders on the skid resistance of the UTWC is significant. The SinoTPS modified asphalt mixture can maintain high texture roughness before and after abrasion, providing excellent and durable skid resistance. The influence of the addition of a warm mixing additive on the skid resistance of UTWC is not significant, and changes in microtexture mainly reflect its impact on antiskid performance. The decay curve of three modified asphalt binders of the skid resistance of the UTWC can be well fitted into an exponential function. The conclusion will play an essential role in selecting the asphalt binder in a UTWC to improve the antiskid performance.

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Analytical solution for the effect of anisotropic layers/interlayers on an elastic multi-layered medium subjected to moving load

Cited by 34 publications

References 35 publications

Investigation of Strength and Fatigue Life of Rubber Asphalt Mixture

Investigation of Strength and Fatigue Life of Rubber Asphalt Mixture

A Review on Multiscale Modeling of Asphalt: Development and Applications

Influence of the Skid Resistance of Ultrathin Wearing Course with Various Types of Asphalt Binders

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