Use of Viscoelastic Continuum Damage Theory to Correlate Fatigue Resistance of Asphalt Binders and Mixtures

The objective of this study was to compare the chemical and rheological properties of asphalt binders recovered from aged asphalt mixtures with the corresponding aged asphalt binders used in those mixtures. Seven plant-produced asphalt mixtures, with unmodified and polymer modified asphalt binders and varying reclaimed asphalt pavement (RAP) content, were compacted and aged in a conventional oven at 85°C for zero (unaged), five, or 10 days. Asphalt binders were extracted and recovered from each aging level for chemical and rheological characterization. Seven blends of virgin asphalt binder and RAP binder were constituted to be similar to those used in the seven plant-produced asphalt mixtures. Subsequently, each asphalt binder blend was aged by rolling thin film oven (RTFO) and pressure aging vessel (PAV) for chemical and rheological characterization. Chemical and rheological characterization included Fourier transform infrared spectroscopy, high and intermediate temperature performance grade (PG), frequency sweep, and linear amplitude sweep (LAS) tests. Asphalt mixtures aged for five and 10 days resulted in asphalt binders that were less aged than similar ones aged by PAV when measured by LAS fatigue parameter ALAS, frequency sweep Glover Rowe (G-R) parameter, and intermediate temperature PG. However, unaged asphalt mixtures yielded asphalt binders with similar properties to those aged in RTFO as measured by high temperature PG. Correlation analysis between asphalt binder and asphalt mixture aging revealed that the G-R parameter has the highest coefficient of correlation among parameters. Further, new aging indices were introduced to capture the effect of polymer modification on aging susceptibility.

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“…Higher A LAS indicates a higher resistance to cracking ( 25 ). A LAS is computed using Equations 10 and 11 ( 27 , 31 ).…”

Section: Test Results and Discussionmentioning

confidence: 99%

Chemical and Rheological Characterization of Asphalt Binders: A Comparison of Asphalt Binder Aging and Asphalt Mixture Aging

Barghabany

Zhang

Mohammad

et al. 2022

Transportation Research Record: Journal of the Transportation R

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“…The amplitude sweep test was performed at a fixed frequency of 10 Hz by applying a torsional strain, which increased linearly from 0.1% to 30%. The LAS test result was analyzed based on the viscoelastic continuum damage (VECD) theory to obtain a damage characteristic relationship (28,29). The fatigue parameter A LAS was obtained from the test.…”

Section: Las Testmentioning

confidence: 99%

Novel Model to Predict Critical Strain Energy Release Rate in Semi-Circular Bend Test as Fracture Parameter for Asphalt Mixtures Using an Artificial Neural Network Approach

Barghabany

Zhang

Mohammad

et al. 2021

Transportation Research Record: Journal of the Transportation R

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Growing use of recycled asphalt materials in asphalt pavement means the current volumetric-based Superpave mixture design may not address durability concerns arising from replacement of a proportion of virgin binder with recycled ones. To address this limitation, performance-based testing is introduced to supplement conventional volumetric mixture design in assessing cracking performance of asphalt mixtures. Louisiana Department of Transportation and Development’s Specifications for Roads and Bridges specify a criterion for the critical strain energy release rate, Jc, obtained from semi-circular bend (SCB) test as a complement of current practice to evaluate cracking resistance of asphalt mixtures. Quality control/assurance practices, however, require SCB samples to be long-term aged for five days at 85°C, which is a time-consuming process. Therefore, it is beneficial to be able to estimate SCB Jc for long-term aged asphalt mixtures based on SCB Jc measured from plant-produced asphalt mixtures. Asphalt mixture aging is complex, and various variables are involved in the aging process, including volumetric properties of asphalt mixture and chemical/rheological characteristics of asphalt binder. With the capability of artificial neural network (ANN) to address complex relationships between input and output variables, this study aims to predict the fracture parameter, SCB Jc, of asphalt mixtures using ANN. A total of 34 asphalt mixtures were selected for this study. SCB fracture test and asphalt binder tests for chemical and rheological characterization were conducted. Stepwise regression analysis was used to determine the significant parameters in the correlation with SCB Jc. With determined significant parameters, ANN using the gradient descent backpropagation approach was then applied to develop and validate the predictive model. It was shown that the developed ANN model was able to predict the fracture parameter, SCB Jc, of asphalt mixtures more accurately than linear and non-linear regression models.

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“…Pronk et al [ 4 , 5 ] found that the Asphalt Concrete Pavement-Fatigue (ACP-F) model was very good for fitting the evolution of a measured complex stiffness modulus for the whole specimen during a 4PB fatigue test, and reported the processing of four point bending test results for viscoelasticity and fatigue models. Wei et al [ 6 ] proposed a new parameter of material fatigue sensitivity representing asphalt mixtures’ fatigue resistance by using the viscoelastic continuum damage approach. The fatigue damage characteristics of asphalt mixtures were analyzed by Kim et al [ 7 ] using the viscoelastic continuous damage model.…”

Section: Introductionmentioning

confidence: 99%

A Prediction Model on Viscoelastic Fatigue Damage of Asphalt Mixture

Jiang

Lin

et al. 2020

Materials

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Fatigue damage affects both durability and safety, and it has been the most important distress in asphalt concrete. Fatigue damage occurs as a result of repeated traffic loading. An asphalt mixture is a typical viscoelastic material, and its fatigue damage is related to its viscoelastic properties. Under repeated traffic loading, the combined effects of creep damage and fatigue damage will shorten its fatigue life. Currently, the evaluation of the fatigue damage of asphalt mixtures rarely considers the combined effects of creep damage and fatigue damage. To solve this problem, a viscoelastic fatigue damage prediction model of an asphalt mixture considering the combined effects of creep damage and fatigue damage is put forward by introducing parameter β and a displacement factor based on theoretical derivations and testing. The results show that the model can embody the viscoelastic fatigue damage essence of asphalt mixtures, and it can also consider the effects of aging degree, temperature, load frequency and stress on fatigue damage of asphalt mixtures. The maximum relative error of the testing and prediction results of fatigue life is 0.15, and it is a reasonable prediction model.

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Use of Viscoelastic Continuum Damage Theory to Correlate Fatigue Resistance of Asphalt Binders and Mixtures

Cited by 28 publications

References 19 publications

Chemical and Rheological Characterization of Asphalt Binders: A Comparison of Asphalt Binder Aging and Asphalt Mixture Aging

Chemical and Rheological Characterization of Asphalt Binders: A Comparison of Asphalt Binder Aging and Asphalt Mixture Aging

Novel Model to Predict Critical Strain Energy Release Rate in Semi-Circular Bend Test as Fracture Parameter for Asphalt Mixtures Using an Artificial Neural Network Approach

A Prediction Model on Viscoelastic Fatigue Damage of Asphalt Mixture

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