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      • KCI등재

        아스팔트 혼합물의 박리방지제의 종류 및 함량에 따른 박리저항성 분석

        최성호,김원재,르반푹,이현종,황성도 한국도로학회 2014 한국도로학회논문집 Vol.16 No.4

        PURPOSES : The objective of this study is to analyze the performance of anti-stripping agent depending on its type and content to reduce pothole, an increasing pavement distress due to abnormal climate intensity. METHODS : In the past years, U.S and many countries in Europe use hydrated lime and liquid anti-stripping agent in asphalt mixtures. Hydrated lime or liquid anti-stripping agent is substituted for filler and binder, respectively, to improve the anti-stripping property of asphalt mixtures. To investigate this, indirect tensile strength test was performed and TSR values were compared for different content of hydrated lime and types of liquid anti-stripping agent in asphalt mixture. RESULTS : Test results indicate that hydrated lime remarkably increased the asphalt mixture performance on anti-stripping denoted by the increased in TSR values from 55% to 100%. Liquid anti-stripping agent also increased the value of TSR but not significant. In addition, depending on the types of aggregate, TSR values and effect of liquid anti-stripping were different. CONCLUSIONS : Using anti-stripping agents improve the anti-stripping property of asphalt mixture especially hydrated lime; however, more experiments should be conducted to improve the reliability about the effect of liquid anti-stripping agent.

      • 아스팔트 소성변형 모형의 개발 및 보정

        김원재,이현종,르반푹,판 후이 티엔,이진욱,김태우 한국도로학회 2016 한국도로학회 학술발표회 논문집 Vol.2016 No.06

        A permanent deformation model for asphalt concrete (AC) layers based on shear properties is developed and calibrated in this study. The indirect tensile (IDT) strength and uniaxial compressive strength (UCS) were used to determine the cohesion and friction angle of asphalt mixtures. Five types of asphalt mixtures with various air-void and binder contents are tested under different loadings and temperature conditions. Multiple regression analysis was conducted to develop permanent deformation model of asphalt mixtures which is a function of the air void, binder content, stress, and number of load cycles, temperature, and frequency. The regression model was verified by comparing the predicted and measured plastic strain. It was found out that the regression model has a correlation coefficient of 0.96 in determining plastic strain. Through the field WesTrack database, the permanent deformation model was calibrated to be applied to AC layers. After calibration, it is observed that the correlation coefficient is 0.86 for the measured and predicted rut depth. Finally, the model is validated using the field rutting performance obtained from Long Term Pavement Performance (LTPP) data sets. Based on the validation study, it can be concluded that the proposed model can successfully predict the permanent deformation of various asphalt mixtures in a wide range of loadings and temperature conditions in the field.

      • KCI등재

        아스팔트 혼합물의 박리방지제의 종류 및 함량에 따른 박리저항성 분석

        최성호,김원재,르반푹,이현종,황성도 한국도로학회 2014 한국도로학회논문집 Vol.16 No.4

        PURPOSES : The objective of this study is to analyze the performance of anti-stripping agent depending on its type and content to reducepothole, an increasing pavement distress due to abnormal climate intensity. METHODS : In the past years, U.S and many countries in Europe use hydrated lime and liquid anti-stripping agent in asphalt mixtures. Hydrated lime or liquid anti-stripping agent is substituted for filler and binder, respectively, to improve the anti-stripping property of asphaltmixtures. To investigate this, indirect tensile strength test was performed and TSR values were compared for different content of hydrated limeand types of liquid anti-stripping agent in asphalt mixture. RESULTS : Test results indicate that hydrated lime remarkably increased the asphalt mixture performance on anti-stripping denoted by theincreased in TSR values from 55% to 100%. Liquid anti-stripping agent also increased the value of TSR but not significant. In addition,depending on the types of aggregate, TSR values and effect of liquid anti-stripping were different. CONCLUSIONS : Using anti-stripping agents improve the anti-stripping property of asphalt mixture especially hydrated lime; however,more experiments should be conducted to improve the reliability about the effect of liquid anti-stripping agent.

      • KCI등재

        서울형 포장설계식 개선 및 검증

        김원재,박창규,트란타이손,르반푹,이현종 한국도로학회 2017 한국도로학회논문집 Vol.19 No.5

        PURPOSES : The objective of this study is to develop a simple regression model in designing the asphalt concrete (AC) overlay thickness using the Mechanistic-empirical pavement design guide (MEPDG) program. METHODS: To establish the AC overlay design equation, multiple regression analyses were performed based on the synthetic database for AC thickness design, which was generated using the MEPDG program. The climate in Seoul city, a modified Hirsh model for determining dynamic modulus of asphalt material, and a new damaged master curve approach were used in this study. Meanwhile, the proposed rutting model developed in Seoul city was then used to calibrate the rutting model in the MEPDG program. The AC overlay design equation is a function of the total AC thickness, the ratio of AC overlay thickness and existing AC thickness, the ratio of existing AC modulus and AC overlay modulus, the subgrade condition, and the annual average daily truck traffic (AADTT). RESULTS: The regression model was verified by comparing the predicted AC thickness, the AADTT from the model and the MEPDG. The regression model shows a correlation coefficient of 0.98 in determining the AC thickness and 0.97 in determining AADTT. In addition, the data in Seoul city was used to validate the regression model. The result shows that correlation coefficient between the predicted and measured AADTT is 0.64. This indicates that the current model is more accuracy than the previous study which showed a correlation coefficient of 0.427. CONCLUSIONS: The high correlation coefficient values indicate that the regression equations can predict the AC thickness accurately.

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