Application of the logit model for the analysis of asphalt fatigue tests results

• Two models are proposed to reproduce stiffness reduction during asphalt fatigue testing.
• The most suitable model must be selected depending on the level of damage.
• Proposed models significantly improve performance of the models available so far.
• One of the proposed models can reproduce post-failure stiffness reduction.
• One of the models can also reproduce phase angle evolution.

This paper explores the applicability of the logit function to reproduce the evolution of the stiffness of asphalt specimens during fatigue testing. Three logit-based models are formulated, and they are evaluated on the basis of a comprehensive database. Two of the models are proposed after such evaluation, so the most suitable one must be selected depending on the level of damage the specimen has undergone during testing (up to failure, beyond failure phase). One of these two models was also found to reproduce phase angle evolution. The general conclusion is that proposed models significantly improve performance of other models available so far (exponential, power, logarithmic, and Weibull), and provide an almost perfect fit to experimental data regardless of mixture type and testing procedure and conditions.

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