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ABSTRACT For partial depth repair of airport concrete pavement, the thickness and physical properties of the materials used in the repair project are the prerequisite for the success of the [...]

ABSTRACT Few studies have been conducted on horizontal shifting prediction models that consider block shapes and laying patterns for block pavements. To develop a prediction model, a combination of different [...]

ABSTRACT Pervious pavement has been used widely due to efficient hydrological characteristics such as reduction of runoff during floods, providing delay of rainwater into sewer systems and ground water quality [...]

ABSTRACT Typically, one side of a dowel bar is coated to allow a dowel bar to move freely in a horizontal direction. However, the coating may induce a frictional force [...]

ABSTRACT A new type of compliant polymer concrete for runway repair is introduced in this paper. To enhance the compliance of epoxy-based polymer concrete, some epoxy resin was replaced with [...]

ABSTRACT Joint spalling has been a typical distress problem in concrete pavements and an open research interest to many pavement engineers. However, most prediction models for joint spalling distress are [...]

ABSTRACT Various preformed joint sealants (PJS) can be used for joint concrete pavement (JCP) to prevent the JCP from distresses such as pumping and faulting. Even though PJS have an [...]

The dynamic modulus of an asphalt mixture is widely used as an important material property in mechanistic-empirical (ME) pavement design and analysis because it accounts temperature and time-dependent asphalt mixture modulus. The aim of this study is to evaluate the dynamic modulus of asphalt mixtures used in Korea and develop a predictive equation for Korea ME pavement design guide based on the results of dynamic modulus tests. Asphalt mixtures contained a granite aggregate with PG 58-22 and PC 64-22 asphalt binders were tested at five different temperatures (-10, 5, 21, 40, and 55°C) and six different loading frequencies (0.1, 0.5, 1,5, 10, and 25 Hz). A predictive equation was constructed based on the test data, and compared and verified between the measured and the predicted dynamic modulus. From the results, it was found that the predictive equation correlated well with the measured values. Keywords: Asphalt mixtures Dynamic modulus Temperature time-dependent Predictive equation ME pavement design, 1. Introduction The dynamic modulus of asphalt mixtures, denoted as E*, is a primary stiffness property that can be used in mechanistic--empirical (ME) pavement design and analysis process [1]. The [...]