01625532

Component

https://doi.org/10.3141/2576-09

One of the major distresses in asphalt pavements is fatigue cracking. To avoid premature cracking failure in the field, it is necessary to characterize an asphalt mixture’s fracture resistance in the laboratory before the mixture is produced and constructed. In 2014, Louisiana decided to implement the semicircular bend (SCB) test as part of a balanced mix design procedure. However, fabrication and testing of SCB specimens can take up to 7 days after the asphalt mixture has been successfully designed in accordance with specification criteria. This study developed a predictive model for the SCB that was based on an artificial neural network that used the volumetric properties of asphalt mixture. This predictive model can be used by practitioners during the mixture design process to estimate the critical value of the J-integral, or Jc. To formulate and validate the model, 31 asphalt mixtures representing a wide range of design and production practices were tested with the SCB test. Statistical analysis (Pearson’s correlation, coefficient of determination, and the general linear model procedure) was then used in determining correlations between the dependent and independent variables and in the development of the predicted SCB test model. In addition, multicollinearity among and between independent variables was evaluated. The artificial neural network was used to develop and validate the SCB model. It is shown that the developed model can be used to predict the critical strain energy release rate, Jc, of aged asphalt mixtures with reasonable accuracy.

01624692

16-3891

English

pp 83-90

2016

Transportation Research Record: Journal of the Transportation Research Board

9780309441308

Print

Figures; References; Tables

Asphalt mixtures; Asphalt pavements; Bend tests; Cracking; Mathematical prediction; Mix design; Neural networks

Highways; Materials; Pavements

TRIS, TRB, ATRI

Feb 3 2017 10:18AM

• Comparison of Fracture Cracking Parameters from Monotonic Loading Tests: Indirect Tension and Monotonic Overlay Tester Tests
• Comparison of Laboratory Fatigue Characteristics with Full-Scale Pavement Cracking for Recycled and Warm-Mix Asphalts
• Development of a Test Protocol to Measure Uniaxial Fatigue Damage and Healing
• Effects of Mix Design and Fracture Energy on Transverse Cracking Performance of Asphalt Pavements in Minnesota
• Fatigue Performance Prediction of Asphalt Composites Subjected to Cyclic Loading with Intermittent Rest Periods
• Identifying Indicators for Fatigue Cracking in Hot-Mix Asphalt Pavements Using Viscoelastic Continuum Damage Principles
• Impact of Hydrated Lime on Cracking Performance of Asphalt Mixtures with Oxidation and Cyclic Pore Pressure
• Long-Term Field Transverse Cracking Performance of Warm-Mix Asphalt Pavement and Its Significant Material Property
• Nondestructive Field Evaluation of Aging Levels of Rejuvenated Asphalt Concrete Pavements
• Probabilistic Modeling of the Inherent Variability in the Dynamic Modulus Master Curve of Asphalt Concrete
• Reliability Analysis of Fatigue Life Prediction from the Viscoelastic Continuum Damage Model