If asphalt-aggregate mixture is produced at a high temperature, the mixture will suffer a significant higher shortterm aging (STA) due to the elevated temperature. The binder in that mixture will be oxidized (aged) more than expected during STA due to the highly elevated temperature. The STA at the high-temperature level is one of the reasons why the hot-mix asphalt (HMA) mixture shows many distresses in the early stage of service life. In this respect, adopting warm-mix asphalt (WMA) technology is another advantage in the asphalt pavement industry. In this study, various levels of STA were used to evaluate aging levels of the binder in the mixture before and after STA. A gel-permeation chromatography (GPC) test was performed on the mixture particles without binder recovery to estimate the significance of aging for each case of STA. Statistical analyses were carried out to determine the difference in aging levels among STA temperatures. Statistical test results found that the aging level of the binder after STA was significantly higher than that of binders before STA at an α = 0.05 level. It was also found that the aging level of binders in the WMA mixture was significantly lower than that of binders in HMA after STA at an α = 0.05 level. It was observed that if an HMA mixture was produced at high-temperature STA, its aging level was estimated to be approximately four years in service.
This study suggests a prediction model of ground motion spectral shape considering characteristics of earthquake records in Korea. Based on the Graizer and Kalkan’s prediction procedure, a spectral shape model is defined as a continuous function of period in order to improve the complex problems of the conventional models. The approximate spectral shape function is then developed with parameters such as moment magnitude, fault distance, and average shear velocity of independent variables. This paper finally determines estimator coefficients of subfunctions which explain the corelation among the independent variables using the nonlinear optimization. As a result of generating the prediction model of ground motion spectral shape, the ground motion spectral shape well estimates the response spectrum of earthquake recordings in Korea.
The aim of our study understands the influence of meteorological factors relating to the formation of the red tide, and monitors the red tide by satellite remote sensing. The meteorological factors have directly influenced on red tide formation. Thus, it was possible to predict and apply to red tide formation from statistical analyses on the realtionships between red tide formation and meteorological factors, and also to realize the near real time monitoring for red tide by satellite remote sensing.