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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…mehr

Produktbeschreibung
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.
Autorenporträt
Dr. Hao Yin is currently an instructor and research associate at
the Department of Civil and Environmental Engineering of The
Pennsylvania State University. Dr. Yin s research expertise lies
in constitutive modeling of construction materials, pavement
design and analysis, and probabilistic performance prediction.