An accurate performance prediction is an involved and complex mission owing to a wide array of controlled and uncontrolled variables affecting the material properties, climate conditions, traffic loads, and subsequent structural response of the pavement section. Over the years, researchers have expended considerable effort toward arriving at a better understanding of pavement response and distress development in pavement structures. More recently, instrumentation has become a key implement in directly quantifying pavement response under diverse environmental and traffic conditions. This thesis research has been aimed at developing a methodology for predicting performance of flexible pavements with the use of instrumentation data.

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