IlliTC – low-temperature cracking model for asphalt pavements

Dave, Eshan V.; Buttlar, William G.; Leon, Sofie E.; Behnia, Behzad; Paulino, Gláucio H.

doi:10.1080/14680629.2013.812838

Cited by 45 publications

(14 citation statements)

References 16 publications

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“…200 sieve), pavement structure (overlay thickness), climate (low temperature hour), and traffic (AADTT) can all have important effects on transverse crack propagation. 4. Creep compliance and low temperature hour (<15°F) have the most significant effect on crack propagation of the identified six key predictor variables.…”

Section: Summary Of Results and Conclusionmentioning

confidence: 96%

Development of Predictive Models for Initiation and Propagation of Field Transverse Cracking

Zhang

Shen

Basak

et al. 2015

Transportation Research Record: Journal of the Transportation R

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The development of field transverse cracking prediction models is highly complicated because of several factors, including the difficulty in differentiating thermal cracking from reflective cracking in the field, the high variability of field conditions, and the potential variability in crack initiation and crack propagation mechanisms. As a result, a statistical-based approach is preferred to a mechanical-based prediction model. In this study, statistical methods, partial least squares regression, and binary logistic regression were used to establish prediction models for field transverse cracking. Results indicated that crack initiation and crack propagation were controlled by predictor variables. Material properties (mixture creep compliance, work density, and percentage passing the No. 200 sieve), pavement structure (overlay thickness), climate (low temperature hour), and traffic (average annual daily truck traffic) were found to be key indicators for transverse crack propagation. Low temperature hour, percentage passing No. 200 sieve, indirect tensile strength, and service life were critical predictor variables for crack initiation. In particular, the crack initiation model, developed by the binary logistic regression, predicted the probability of crack initiation. Both models show good predictability and are well validated. These models appear to work for hot-mix and warm-mix asphalt pavements.

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Section: Summary Of Results and Conclusionmentioning

confidence: 96%

Development of Predictive Models for Initiation and Propagation of Field Transverse Cracking

Zhang

Shen

Basak

et al. 2015

Transportation Research Record: Journal of the Transportation R

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“…Recently, Illi -TC model has been developed, with its associated graphical user interface (GUI), at the University of Illinois at Urbana, Champaign Dave et al (2013), Marasteanu et al 2012, )The model first estimates probable critical cracking events by comparing the thermal stress at the pavement surface with the 80% of the asphalt mixture indirect tensile strength. The propagation of cracking during each of the critical events is calculated using the cohesive zone 2-D linear viscoelastic fracture mechanic model, with the aid of a finite element computation engine.…”

Section: Methodsmentioning

confidence: 99%

A comprehensive model for predicting thermal cracking events in asphalt pavements

Alavi

Hajj

Sebaaly

2015

International Journal of Pavement Engineering

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A compressive model for predicting thermal cracking events in asphalt pavements that accounts for the continuous evolution of the asphalt mixture properties with oxidative ageing over time has been developed. The model also considers temperature-dependent coefficient of thermal contraction (CTC) for the calculation of thermal strain in the asphalt layer. An improved pavement temperature profile estimate has been employed in the model to predict the required hourly pavement temperature data. The temperature data at the desired depth in the asphalt layer are then used in a kinetic-based ageing model to predict growth in the carbonyl (CA) of the asphalt binder over time. Using a refined one-dimensional constitutive linear viscoelastic relationship, the hourly thermal stress is then computed considering the changes in the viscoelastic and thermal contraction properties of the asphalt mixture with the increase in CA of asphalt binder used in the mix. The required age-dependent relaxation modulus is obtained from the dynamic modulus (E * ) of asphalt mixtures (i.e. in complex domain) at various ageing levels. Also, the required age and temperature-dependent CTC is obtained from thermal strain measurements of varied aged asphalt mixtures using the uniaxial thermal stress and strain test (UTSST). The cracking events are detected over the service life by comparing the predicted thermal stress with the age-dependent crack initiation stress (CIS) of the asphalt mixture. The age-dependent CIS is obtained from the UTSST results for different ageing periods. Preliminary analysis of the model revealed the accuracy of the model in a realistic prediction of the accumulative thermal cracking events for the asphalt pavement with different air void levels (4, 7 and 11%) and with unmodified (PG64-22) and polymer-modified (PG64-28) asphalt binders in a selected location.

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“…In addition, not all asphalt binders of same Superpave low temperature grade have equivalent mechanical properties (modified vs. neat, different sources of crude etc.). Research has shown that the fracture behavior of the asphalt mixture and the mechanical properties of the binder are equally important in terms of low-temperature transverse cracking performance (Marasteanu et al 2007(Marasteanu et al , 2012Dave et al 2013). Evidently, several factors impact the low-temperature cracking performance for asphalt pavements.…”

Section: Introductionmentioning

confidence: 98%

Implementation of Laboratory Testing to Predict Low Temperature Cracking Performance of Asphalt Pavements

et al. 2015

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In cold climate regions, thermal cracking of asphalt pavements is a major pavement distress. Cold climates cause a thermal contraction within the pavement. When combined with the brittle behaviour of asphalt at low temperatures, the thermally induced stresses are relieved by transverse cracks forming in the pavement. This cracking facilitates poor ride quality and premature failure of the pavement. There is currently no asphalt mixture performance test required by majority of Department of Transportations (DOTs) in the United States to address the issue of thermal cracking. Previous research has indicated that fracture energy of asphalt mixtures is a reliable predictor of transverse cracking performance. This mechanistic property of asphalt mixtures can be found using the disk-shaped compact tension (DCT) test. On basis of previous research, a low-temperature cracking performance specification that uses DCT fracture energy has been developed. During 2013 construction season, five construction projects were chosen to implement provisional specifications that use fracture energy as a required mix parameter. The projects encompassed different construction techniques, material compositions and climatic zones. The implementation procedure as well as the results from testing is presented in this paper. The results indicate a shift in the DCT fracture energy values between laboratory produced specimens that were provided as part of mix design acceptance and those manufactured using plant produced mix. Other findings include reaffirmation of common knowledge that use of higher binder contents and/or improved low temperature binder grades provide mixtures with improved fracture energies.

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IlliTC – low-temperature cracking model for asphalt pavements

Cited by 45 publications

References 16 publications

Development of Predictive Models for Initiation and Propagation of Field Transverse Cracking

Development of Predictive Models for Initiation and Propagation of Field Transverse Cracking

A comprehensive model for predicting thermal cracking events in asphalt pavements

Implementation of Laboratory Testing to Predict Low Temperature Cracking Performance of Asphalt Pavements

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