An experimental testing and analysis procedure to determine linear viscoelastic properties of asphalt binder microstructural components

Macedo, Thaísa Ferreira; Badilla-Vargas, Gustavo; Osmari, Patrícia Hennig; Oliveira, Alex Duarte de; Simão, Renata Antoun; Leite, Leni Figueiredo Mathias; Aragão, Francisco Thiago Sacramento

doi:10.1016/j.conbuildmat.2019.116999

Cited by 10 publications

(2 citation statements)

References 22 publications

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“…The bee structure of the asphalt binder can be characterized based on the atomic force microscopy (AFM) method at the nanoscale [152][153][154], which mainly includes bee, peri, and interstitial phases. The captured AFM image of the asphalt binder helps to build the numerical model for the asphalt binder that can be adopted to evaluate comprehen-sive nanoscopic performance [155], which makes it possible to investigate aging damage mechanics induced by service environments.…”

Section: Nanoscale Characteristics Modeling On the Asphalt Bindermentioning

confidence: 99%

Review on Design, Characterization, and Prediction of Performance for Asphalt Materials and Asphalt Pavement Using Multi-Scale Numerical Simulation

Wang,

Wang

2024

Materials

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Asphalt pavement, which is mainly made up of the asphalt mixture, exhibits complicated mechanical behaviors under the combined effects of moving vehicle loads and external service environments. Multi-scale numerical simulation can well characterize behaviors of asphalt materials and asphalt pavement, and the essential research progress is systematically summarized from an entire view. This paper reviews extensive research works concerning aspects of the design, characterization, and prediction of performance for asphalt materials and asphalt pavement based on multi-scale numerical simulation. Firstly, full-scale performance modeling on asphalt pavement is discussed from aspects of structural dynamic response, structural and material evaluation, and wheel–pavement interaction. The correlation between asphalt material properties and pavement performance is also analyzed, and so is the hydroplaning phenomenon. Macro- and mesoscale simulations on the mechanical property characterization of the asphalt mixture and its components are then investigated, while virtual proportion design for the asphalt mixture is introduced. Features of two-dimensional and three-dimensional microscale modeling on the asphalt mixture are summarized, followed by molecular dynamics simulation on asphalt binders, aggregates, and their interface, while nanoscale behavior modeling on asphalt binders is presented. Finally, aspects that need more attention concerning this study’s topic are discussed, and several suggestions for future investigations are also presented.

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Section: Nanoscale Characteristics Modeling On the Asphalt Bindermentioning

confidence: 99%

Review on Design, Characterization, and Prediction of Performance for Asphalt Materials and Asphalt Pavement Using Multi-Scale Numerical Simulation

Wang,

Wang

2024

Materials

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“…Indeed, with the aid of AFM, researchers have developed computational mechanical models simulating asphalt binder nanostructures. For example, researchers including (Du, Liu, Ganchev et al., 2021; Jahangir et al., 2015; Li‐yan et al., 2020; Macedo et al., 2020) developed finite element (FE) models to study the internal stress distribution in binders’ nanostructures subjected to external loads using geometric configurations and material properties obtained from AFM testing.…”

Section: Introductionmentioning

confidence: 99%

Computational generation of multiphase asphalt nanostructures using random fields

Aljarrah

Karaki

Masad

et al. 2022

Computer aided Civil Eng

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This study presents a novel methodology to generate computational replicates of nanostructures of multiphase materials, such as asphalt binders, by integrating image analysis techniques with stochastic random field (RF) modeling. Image analysis techniques are used to identify and segment nanostructure images obtained by atomic force microscopy, while RF is used to model the spatial distribution of their material properties. The results of this process are images showing probable arrangements of nanostructures with stochastic material properties that replicate the experimentally obtained images. The computationally generated nanostructures are then used as inputs in a finite element model to evaluate the effect of heterogeneity on their mechanical response. The efficacy of the developed approach is demonstrated through simulations of asphalt binders' nanostructures, which reveal novel insights regarding their nanoscale mechanical behavior and response. The FE simulations provided the link between the distribution of nanoscale properties of asphalt binders and variations in their mechanical response. The application of this methodology expands the body of knowledge beyond the deterministic analysis of asphalt binders toward probabilistic analysis and uncertainty quantification that considers their heterogeneous, multiphase structures. Consequently, the methodology can be used to design multiphase materials, such as asphaltic blends, with tailored properties and enhanced performance.

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Surface characterization using Friction Force Microscopy and the Jarzynski equality

Watanabe

Capaz

Simão

2023

Applied Surface Science

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An experimental testing and analysis procedure to determine linear viscoelastic properties of asphalt binder microstructural components

Cited by 10 publications

References 22 publications

Review on Design, Characterization, and Prediction of Performance for Asphalt Materials and Asphalt Pavement Using Multi-Scale Numerical Simulation

Review on Design, Characterization, and Prediction of Performance for Asphalt Materials and Asphalt Pavement Using Multi-Scale Numerical Simulation

Computational generation of multiphase asphalt nanostructures using random fields

Surface characterization using Friction Force Microscopy and the Jarzynski equality

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