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        검색결과 7

        1.
        2018.10 KCI 등재 구독 인증기관 무료, 개인회원 유료
        PURPOSES : Previously, airport concrete pavement was designed using only aircraft gear loading without consideration of environmental loading. In this study, a multiple-regression model was developed to predict maximum tensile stress of airport concrete pavement based on finite element analysis using both environmental and B777 aircraft gear loadings. METHODS: A finite element model of airport concrete pavement and B777 aircraft main gears were fabricated to perform finite element analysis. The geometric shape of the pavement, material properties of the layers, and the loading conditions were used as input parameters for the finite element model. The sensitivity of maximum tensile stress of a concrete slab according to the variation in each input parameter was investigated by setting the ranges of the input parameters and performing finite element analysis. Based on the sensitivity analysis results, influential factors affecting the maximum tensile stress were found to be used as independent variables of the multi regression model. The maximum tensile stresses predicted by both the multiple regression model and finite element model were compared to verify the validity of the model developed in this study. RESULTS: As a result of the finite element analysis, it was determined that the maximum tensile stress developed at the bottom of the slab edge where gear loading was applied in the case that environmental loading was small. In contrast, the maximum tensile stress developed at the top of the slab center situated between the main gears in the case that the environmental loading got larger. As a result of the sensitivity analysis and multiple regression analysis, a maximum tensile stress prediction model was developed. The independent variables used included the joint spacing, slab thickness, the equivalent linear temperature difference between the top and bottom of the slab, the maximum take-off weight of a B777 aircraft, and the composite modulus of the subgrade reaction. The model was validated by comparing the predicted maximum tensile stress to the result of the finite element analysis. CONCLUSIONS : The research shown in this paper can be utilized as a precedent study for airport concrete pavement design using environmental and aircraft gear loadings simultaneously.
        4,000원
        3.
        2018.05 구독 인증기관·개인회원 무료
        The airport concrete pavement is gradually changing from the empirical design method proposed by the FAA to the mechanical design method. However, the complete mechanical design method has not yet been developed because it is difficult to consider designing due to various break types due to environmental load. FAAFIELD, a widely used finite element analysis program in existing airport pavement design, has yet to be considered for environment loads, although it has been continuously updated. Therefore, this study used ABAQUS instead of FAARFIELD as a finite element analysis program to consider the environmental load, and carried out the load quantification work of A380 aircraft and B777 aircraft corresponding to 3DT(3 Dual Tandem) gear. The traffic load information of 3DT gear aircraft was collected, and the environmental load due to temperature and humidity was converted into the equivalent linear temperature difference. Through the finite element analysis using ABAQUS, the prediction data of maximum tensile stress and location was collected when the two loads act to slab simultaneously. The factors affecting the maximum tensile stress in the finite element analysis are slab thickness, joint spacing, aircraft load, combined bearing capacity, and equivalent linear temperature difference, respectively. In order to examine the adequacy of the selected factors, sensitivity analysis for factors which affect maximum tensile stress was performed, and the stress regression model was developed. For this, a multiple regression analysis program SPSS was used and the stress regression equations for 3DT gear aircraft were calculated considering traffic and environmental loads. Through the developed stress regression model, it is possible perform the load quantification process of the 3DT gear aircraft for the mechanical design of the airport concrete pavement. In addition, the appropriateness of the regression model is verified by securing the high decision coefficient through SPSS. This study was supported by Incheon International Airport Corporation(BEX00625)
        4.
        2018.05 구독 인증기관·개인회원 무료
        Conventional airport concrete pavement design uses empirical design method presented by FAA but it is not accurate because it does not consider environment load. In case of mechanistic - empirical design method used overseas, it needs to be modified according to domestic conditions. In this paper, a stress regression model considering environmental load and dual tandem gear load is developed as a mechanical - empirical design process and verified by fatigue model calibration. First of all, literature review was conducted on airports using DT gear as a design aircraft among domestic airports, and the physical properties of concrete pavement layers of each airport were identified. In addition, the environmental load is divided into the temperature load and the moisture load, and the temperature load is calculated from the climatic data of the region where the domestic airport is located, and the moisture load is calculated through the drying shrinkage prediction model developed through the previous study. The stresses occurring in concrete slabs under environmental loads and traffic loads were predicted using FEAFAA, which is a finite element analysis program, and factors predicted to affect concrete pavement were selected for the stress regression.As a result of the sensitivity analysis of the selected factors, the joint spacing, slab thickness, gear load, and road bearing capacity coefficient affected the stress behavior of the slab by more than 5% of the reference stress.According to the mechanical design, the finite element analysis was carried out for the consideration of only the traffic load and the environmental load and the traffic load based on the design factors. Based on the analysis results, multiple regression analysis was performed using the statistical analysis program SPSS and the stress regression equation was calculated. Then, the stress model for the environmental load and the traffic load was calculated and the final stress model with each stress model as the independent variable was derived. Using the calculated stress regression model, the stress was calculated and the bending strength of the concrete was divided to calculate the stress - to - strength ratio, and the appropriate fatigue model was selected and the correction was performed by the least squares method. This study was supported by Incheon International Airport Corporation(BEX00625)
        5.
        2009.03 KCI 등재 서비스 종료(열람 제한)
        최근 해양사고가 날로 증가되고 있으며, 특히, 인적과실로 인한 충돌사고의 비중은 70%에 이르고 있다. 본 연구에서는 실시간 충돌 위험도 표시 시스템을 개발하였는데, 충돌위험도를 사전에 인지함으로써 비상상황에 효과적으로 대처하고, 인적과실로 인한 충돌위험도를 줄이고자 하였다. 충돌위험도 추정을 위해, 선박들 간에 충돌위험도를 평가하는 퍼지알고리즘을 이용한 방법과 항해사가 느끼는 환경스트레스를 이용하여 충돌위험도를 평가하는 방법의 두 가지를 비교 검토하였다. 실시간 충돌위험도 추정 알고리즘을 검증하기 위해 선박운항 시뮬레이터에 설치하고 다양한 시뮬레이션을 수행하였다.
        6.
        2003.12 KCI 등재 서비스 종료(열람 제한)
        A virtual vessel traffic control system is introduced to contribute to prevent a marine accident such as collision and stranding from happening. Existing VTS has its limit. The virtual vessel traffic control system consists of both data acquisition by satellite remote sensing and a simulation of traffic environment stress based on the satellite data, remotely sensed data And it could be used to provide timely and detailed information about the marine safety, including the location, speed and direction of ships, and help us operate vessels safely and efficiently. If environmental stress values are simulated for the ship information derived from satellite data, proper actions can be taken to prevent accidents. Since optical sensor has a high spatial resolution, JERS satellite data are used to track ships and extract their information. We present an algorithm of automatic identification of ship size and velocity. It lastly is shown that based on ship information extracted from JERS data, a qualitative evaluation method of environmental stress is introduced.
        7.
        2003.12 KCI 등재 서비스 종료(열람 제한)
        최근 해상교통 안전성 평가의 주요 기법으로 부각되고 있는 “환경 스트레스 모델”을 구성하는 두 요소 중, 본선 주변의 지형적인 제약에 기인하는 조선 환경 스트레스 모델의 개념과 특성에 대해 살펴보고, 이러한 기법을 항만이나 항로의 설계시 그 안전성 평가에 어떻게 활용할 수 있는가에 대하여 고찰해 보았다. 본 모델을, 가상적인 몇 가지 경우에 적용함으로써 그 개념과 특성을 보다 명확하게 고찰하고자 하였으며, 또한 부산항, 광양항 등 우리나라 주요 항만의 실제 접근 항로에 적용하여 보았다. 본 기법은, 항만이나 항로의 설계 및 그 안전성 평가에 큰 도움이 될 수 있을 것으로 판단된다.