Development of a pseudo strain energy-based fatigue failure criterion for asphalt mixtures

Wang, Yizhuang; Kim, Youngsoo Richard

doi:10.1080/10298436.2017.1394100

Cited by 78 publications

(20 citation statements)

References 15 publications

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“…To capture the fatigue performance, it would be necessary to combine LVE, DCC, and pavement structure; the FlexPAVE TM simulation system allows such integration. Some researchers have shown good agreement of the predicted fatigue performance using FlexPAVE TM with measured field fatigue cracking data (14,22). Also, the fatigue performance with aging may be better or worse for each individual mixture depending on the trade-off between increasing stiffness and decreasing fatigue resistance.…”

Section: Fatigue Performance Prediction From Flexpave Tmmentioning

confidence: 92%

“…Uniaxial direct tension cyclic testing was conducted following AASHTO TP 107 to evaluate the fatigue behavior of the asphalt mixtures. The simplified viscoelastic continuum damage (S-VECD) approach with the damage characteristic curve (DCC) and the performance parameter D R were used to estimate the ability of the mixtures to resist fatigue cracking (12)(13)(14).…”

Section: Testing and Analysis Methodsmentioning

confidence: 99%

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Impact of Aging on the Viscoelastic Properties and Cracking Behavior of Asphalt Mixtures

Zhang

Sias

Dave

et al. 2019

Transportation Research Record: Journal of the Transportation R

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Aging can significantly affect the viscoelastic properties and cracking behavior of asphalt mixtures, causing increase in stiffness, reduction in relaxation capability, and increase in brittleness. Eleven mixtures are evaluated using different laboratory conditioning protocols to evaluate how the properties of asphalt mixtures, including viscoelastic properties, fatigue, and fracture behavior will change over time. Comparisons between different aging levels and mixtures are conducted by using complex modulus (E*) (field cores are included), simplified viscoelastic continuum damage (S-VECD) approach, semi-circular bending (SCB), and disk shaped compact tension (DCT) fracture tests. The climatic aging index developed by the NCHRP 09-54 project is utilized in this study to calculate the appropriate field aging duration corresponding to the different laboratory aging protocols. Pavement evaluation tools FlexPAVETM and IlliTC are also used to predict and compare the fatigue and thermal cracking performance of these mixtures. The results of E* and S-VECD tests indicate that the mixtures are more prone to fatigue cracking with aging, and the two long-term conditioning protocols induce statistically similar changes in linear viscoelastic and fatigue properties. However, prediction of fatigue performance from FlexPAVE TM does not show a consistent trend once pavement structure and traffic are considered. Fracture tests and IlliTC predictions show the virgin mixtures and those with soft base binders will have better capability to resist cracking after long-term aging. In this study, the two mixtures with the largest difference between high and low temperature performance grade (PG) show the largest change in fracture and fatigue properties with aging.

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Section: Fatigue Performance Prediction From Flexpave Tmmentioning

confidence: 92%

Section: Testing and Analysis Methodsmentioning

confidence: 99%

Impact of Aging on the Viscoelastic Properties and Cracking Behavior of Asphalt Mixtures

Zhang

Sias

Dave

et al. 2019

Transportation Research Record: Journal of the Transportation R

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“…Therefore, different S-VECD-based fatigue failure criteria have been proposed by researchers to rank mixtures. The two widely accepted failure criteria with the S-VECD approach are the rate of averaged dissipated pseudo strain energy (G R ) and the average reduction in pseudo stiffness (D R ) ( 21, 22 ). It has been shown that the D R criterion may better and more reliably explain the mixture fatigue properties, as it eliminates the extrapolation problems caused by using the G R parameter in a logarithmic scale ( 23 ).…”

Section: Test Results and Discussionmentioning

confidence: 99%

Evaluation of Laboratory Performance and Structural Contribution of Cold Recycled Versus Hot Mixed Intermediate and Base Course Asphalt Layers in New Hampshire

Nemati

Dave

Sias

et al. 2019

Transportation Research Record: Journal of the Transportation R

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Depending on the local conditions and structural design of the pavement, multiple asphalt concrete layers including base, intermediate, and wearing courses are used. Typically, the base and intermediate layers have larger aggregate sizes and lower total asphalt binder contents as compared with the wearing course. Recently, cold recycled (CR) asphalt mixtures have gained attention as an alternative to the typical base, and to some extent intermediate courses, because of economic and environmental advantages. Challenges with CR include the potential high variability of recycled asphalt pavement (RAP) and lack of knowledge in relation to structural contribution and long-term performance of such layers. This study investigates four different types of CR and four hot mixed plant-produced asphalt mixtures (three intermediate courses and one base course) that are typical mixtures used in New Hampshire. The laboratory performance evaluation is conducted through the resilient modulus (Mr), complex modulus (E*), semi-circular bend and direct tension cyclic fatigue (S-VECD) tests. Pavement performance prediction is carried out using the results from S-VECD approach in the FlexPAVETM software. The test results indicate that the performance of CR is highly affected by the amount of oil distillate percentage in the emulsion as well as the amount of recovered binder in the RAP. While having a relatively lower rutting resistance capability, the CR mixtures maintained an acceptable fatigue performance. As compared with CR mixtures, hot mixed intermediate and base course mixtures indicated better rutting performance while having lower resistance to cracking.

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“…The failure criterion used in the S-VECD model to capture the fatigue failure owing to the formation of a macro-cracking is called the D R criterion ( 17 ). This failure criterion uses one variable, which is the average reduction in the material integrity up to failure, D R , to determine the number of load cycles.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Quantification of Simplified Viscoelastic Continuum Damage Fatigue Model using the Bayesian Inference-Based Markov Chain Monte Carlo Method

Ding

Wang

Gulzar

et al. 2020

Transportation Research Record: Journal of the Transportation R

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The simplified viscoelastic continuum damage model (S-VECD) has been widely accepted as a computationally efficient and a rigorous mechanistic model to predict the fatigue resistance of asphalt concrete. It operates in a deterministic framework, but in actual practice, there are multiple sources of uncertainty such as specimen preparation errors and measurement errors which need to be probabilistically characterized. In this study, a Bayesian inference-based Markov Chain Monte Carlo method is used to quantify the uncertainty in the S-VECD model. The dynamic modulus and cyclic fatigue test data from 32 specimens are used for parameter estimation and predictive envelope calculation of the dynamic modulus, damage characterization and failure criterion model. These parameter distributions are then propagated to quantify the uncertainty in fatigue prediction. The predictive envelope for each model is further used to analyze the decrease in variance with the increase in the number of replicates. Finally, the proposed methodology is implemented to compare three asphalt concrete mixtures from standard testing. The major findings of this study are: (1) the parameters in the dynamic modulus and damage characterization model have relatively strong correlation which indicates the necessity of Bayesian techniques; (2) the uncertainty of the damage characteristic curve for a single specimen propagated from parameter uncertainties of the dynamic modulus model is negligible compared to the difference in the replicates; (3) four replicates of the cyclic fatigue test are recommended considering the balance between the uncertainty of fatigue prediction and the testing efficiency; and (4) more replicates are needed to confidently detect the difference between different mixtures if their fatigue performance is close.

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Development of a pseudo strain energy-based fatigue failure criterion for asphalt mixtures

Cited by 78 publications

References 15 publications

Impact of Aging on the Viscoelastic Properties and Cracking Behavior of Asphalt Mixtures

Impact of Aging on the Viscoelastic Properties and Cracking Behavior of Asphalt Mixtures

Evaluation of Laboratory Performance and Structural Contribution of Cold Recycled Versus Hot Mixed Intermediate and Base Course Asphalt Layers in New Hampshire

Uncertainty Quantification of Simplified Viscoelastic Continuum Damage Fatigue Model using the Bayesian Inference-Based Markov Chain Monte Carlo Method

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