Numerical evaluation of pavement design parameters for the fatigue cracking and rutting performance of asphalt pavements

Norouzi, Amirhossein; Kim, Dahae; Kim, Y. Richard

doi:10.1617/s11527-015-0744-x

Cited by 60 publications

(12 citation statements)

References 9 publications

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“…For this purpose, Sabouri and Kim developed the so-called G R failure criterion ( 8 ), which is based on pseudo energy and is independent of temperature, mode of loading, and loading amplitude. The G R failure criterion has been implemented in FlexPAVE™, and the resultant software package has yielded good predictions of observed cracking in various pavements ( 9 – 11 ). Wang et al evaluated and compared the prediction accuracy of Pavement ME Design (formerly known as the MEPDG) and FlexPAVE™ using material and field data and reported that, although both programs can provide reasonable results, FlexPAVE™ yields better agreement with field measurements due to the fundamental models it applies ( 12 ).…”

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confidence: 99%

Fatigue Performance Prediction of Asphalt Pavements with FlexPAVE^TM, the S-VECD Model, and D^R Failure Criterion

Wang

Keshavarzi

Kim

2018

Transportation Research Record: Journal of the Transportation R

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Reliable predictions of asphalt materials and pavement performance are important elements in mixture design, mechanistic-empirical pavement design, and performance-related specifications. This paper presents FlexPAVE™, a pavement performance prediction program. FlexPAVE™ is a three-dimensional finite element program that is capable of moving load analysis under realistic climatic conditions. It utilizes the simplified viscoelastic continuum damage (S-VECD) model to predict asphalt pavement fatigue life. This S-VECD model currently incorporates the so-called GR failure criterion to define the failure of asphalt mixtures. In this study, a new failure criterion for the S-VECD model, designated as the DR criterion, has been developed to remedy some of the shortcomings of the GR failure criterion. This DR criterion has been implemented successfully in FlexPAVETM. In this paper, FlexPAVETM is used to simulate the fatigue performance of field test sections. These test sections include various pavement structures, such as perpetual pavements and accelerated load facility test pavements in the United States, South Korea, and China, as well as various materials, such as warm-mix asphalt, reclaimed asphalt pavement, and mixtures with modified binders. The DR-based FlexPAVETM predictions have yielded good agreement with the field measurements and show more reasonable trends compared to predictions obtained using the GR failure criterion.

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confidence: 99%

Fatigue Performance Prediction of Asphalt Pavements with FlexPAVE^TM, the S-VECD Model, and D^R Failure Criterion

Wang

Keshavarzi

Kim

2018

Transportation Research Record: Journal of the Transportation R

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“…Table 1 provides details about the mixtures evaluated in this study. The test results for these mixtures have been presented previously in research papers ( 6 – 10 ).…”

Section: Methodsmentioning

confidence: 99%

Improving the Reliability of Damage Characteristic Curves in the Simplified Viscoelastic Continuum Damage Model

Lee

Castorena

Kim

2018

Transportation Research Record: Journal of the Transportation R

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One of the major advantages of the cyclic fatigue test (AASHTO TP 107) is that the results can be used to calibrate the Simplified Viscoelastic Continuum Damage (S-VECD) model, which is used for mechanistic pavement performance predictions. The crux of the S-VECD model is the damage characteristic curve, which has been shown to be independent of mode of loading, loading history, and temperature. Consequently, a model can be fitted to the damage characteristic curve and used to predict the damage response for any given loading history of interest using limited test results. AASHTO TP 107 currently lacks a specific procedure for fitting a model to the damage characteristic curve and evaluating the repeatability of test replicates. In this study, a robust and practical method is proposed for fitting a power law model to the damage characteristic curve. The proposed fitting method was verified using cyclic fatigue test results of 19 mixtures sourced from the United States, Canada, and South Korea. In addition, a means to evaluate the specimen-to-specimen variability of damage characteristic curves using a shape factor is proposed. Thresholds for acceptable variability in the shape factor were derived using confidence interval analysis and verified through FlexPAVE™ pavement performance predictions. The findings of this study can be used to improve the reliability of the damage characteristic curves derived from cyclic fatigue tests for pavement performance predictions.

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“…Heavy traffic or traffic overloading often leads to various types of distresses in asphalt pavement, such as cracks, rutting, and shoving [1][2][3]. To reduce asphalt pavement damage and adapt to various traffic and harsh environmental climate conditions, a variety of modified asphalts (e.g., polyethylene (PE), polypropylene (PP), ethylene-vinyl acetate (EVA), and styrene-butadiene-styrene (SBS)) have been used to reduce rutting, shifting, cracking, and pitting on asphalt pavements and increase the pavement service life [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Micromorphology and Strength Formation Mechanism of Epoxy Asphalt During the Curing Reaction

Xu¹,

Zhuang²,

Chen³

et al. 2020

Applied Sciences

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The micromorphological changes and the strength formation mechanism of the curing of epoxy asphalt, which is mostly used for steel bridge deck pavements, were investigated. A tensile test was used to analyze the mechanical properties of epoxy asphalt, and Fourier transform infrared spectroscopy (FTIR) was used to determine the change in the epoxy peak area. Laser scanning confocal microscopy (LSCM) and scanning electron microscopy (SEM) were used to observe two-dimensional and three-dimensional micromorphological changes, respectively, during the curing reaction of epoxy asphalt. The results of the tensile and FTIR tests on epoxy asphalt showed that the tensile strength and epoxy conversion rate both increased with the curing time and exhibited similar trends, indicating that the network formed by the crosslinking and polymerization of epoxy groups causes the increased strength of epoxy asphalt. The curing degree of epoxy asphalt during the curing reaction can be indirectly evaluated from the conversion rate of epoxy groups. The asphalt tended to evenly be dispersed in the continuous phase of the epoxy resin during the formation of the epoxy resin network, and the network structure increased the deformation of the epoxy resin. The epoxy asphalt curing reaction process was classified into three stages based on the degree of curing.

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Numerical evaluation of pavement design parameters for the fatigue cracking and rutting performance of asphalt pavements

Cited by 60 publications

References 9 publications

Fatigue Performance Prediction of Asphalt Pavements with FlexPAVE^TM, the S-VECD Model, and D^R Failure Criterion

Fatigue Performance Prediction of Asphalt Pavements with FlexPAVE^TM, the S-VECD Model, and D^R Failure Criterion

Improving the Reliability of Damage Characteristic Curves in the Simplified Viscoelastic Continuum Damage Model

Experimental Study on the Micromorphology and Strength Formation Mechanism of Epoxy Asphalt During the Curing Reaction

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Numerical evaluation of pavement design parameters for the fatigue cracking and rutting performance of asphalt pavements

Cited by 60 publications

References 9 publications

Fatigue Performance Prediction of Asphalt Pavements with FlexPAVETM, the S-VECD Model, and DR Failure Criterion

Fatigue Performance Prediction of Asphalt Pavements with FlexPAVETM, the S-VECD Model, and DR Failure Criterion

Improving the Reliability of Damage Characteristic Curves in the Simplified Viscoelastic Continuum Damage Model

Experimental Study on the Micromorphology and Strength Formation Mechanism of Epoxy Asphalt During the Curing Reaction

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Fatigue Performance Prediction of Asphalt Pavements with FlexPAVE^TM, the S-VECD Model, and D^R Failure Criterion

Fatigue Performance Prediction of Asphalt Pavements with FlexPAVE^TM, the S-VECD Model, and D^R Failure Criterion