Probabilistic characterisation of damage characteristic curve of asphalt concrete mixtures

Singh, Priyansh; Swamy, Aravind Krishna

doi:10.1080/10298436.2017.1321420

Cited by 13 publications

(2 citation statements)

References 33 publications

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“…In other words, the mean values of test results are taken to quantify the fatigue behavior of the materials. As a matter of fact, the variability associated with material properties, microstructure heterogeneity and others cause the uncertainty of fatigue damage process for many engineering materials [15], [16], [17], [18]. If these deterministic fatigue indicators and fatigue damage models are applied in structures made up of such materials, the estimation bias will lead to unintended consequences.…”

Section: Introductionmentioning

confidence: 99%

Stochastic fatigue damage in viscoelastic materials using probabilistic pseudo J-integral Paris' law

Luo

Zhang

et al. 2021

Engineering Fracture Mechanics

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Section: Introductionmentioning

confidence: 99%

Stochastic fatigue damage in viscoelastic materials using probabilistic pseudo J-integral Paris' law

Luo

Zhang

et al. 2021

Engineering Fracture Mechanics

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“…The method considered the uncertainty and variability of the input parameters related to the LVE characterization, damage characteristic curve, and failure criterion through Monte Carlo simulations. Other researchers presented a probabilistic approach to describe the scatter in damage characteristic curves used for the prediction of fatigue cracking based on VECD mechanics ( 20 , 21 ). Also, a recent study presented a stochastic viscoelastic–viscoplastic model to analytically investigate the modification effect of fine and coarse crumb rubber using the dry-process on asphalt mixtures under uniaxial compression state ( 22 ).…”

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confidence: 99%

Development of Probabilistic Viscoelastic Continuum Damage Model for Asphalt Concrete

Kassem

Chehab

Najjar

2019

Transportation Research Record: Journal of the Transportation R

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The main objective of this paper is to develop a realistic probabilistic framework for characterization of different types of asphalt concrete using advanced material modeling. The adopted methodology builds on and enhances a viscoelastic continuum damage (VECD) material model by utilizing a suite of associated experimental testing protocols and incorporating the uncertainties associated with the different material properties. The modeled uncertainties address the variabilities and errors associated with the linear viscoelastic (LVE) functions achieved from the complex modulus test and damage characteristic curves obtained from constant crosshead rate testing. A probabilistic scheme using First Order approximations and Monte Carlo simulations is developed to characterize the inherent uncertainty of each of the LVE functions over the time domain of their mastercurves. For damage characteristic curves, the uncertainty in normalized pseudostiffness increases as the level of damage becomes larger. The uncertainties of LVE properties are propagated along with those of C versus stress curves to yield a probabilistic viscoelastic continuum damage model (P-VECD). The P-VECD not only predicts the average viscoelastic response to a given loading input, but it can also provide its distribution, which is essential for a reliability-based pavement design.

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Fatigue-creep damage interaction model of asphalt mixture under the semi-sine cycle loading

Liu

Yang

Jiang³

et al. 2020

Construction and Building Materials

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Probabilistic characterisation of damage characteristic curve of asphalt concrete mixtures

Cited by 13 publications

References 33 publications

Stochastic fatigue damage in viscoelastic materials using probabilistic pseudo J-integral Paris' law

Stochastic fatigue damage in viscoelastic materials using probabilistic pseudo J-integral Paris' law

Development of Probabilistic Viscoelastic Continuum Damage Model for Asphalt Concrete

Fatigue-creep damage interaction model of asphalt mixture under the semi-sine cycle loading

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