베어링은 많은 회전체에서 사용되는 핵심부품으로, 예기치 않은 고장을 방지하기 위해 많은 연구가 집중되고 있다. 이때 중요한 것은 되도록 초기에 건전성 상태를 잘 나타내는 적절한 특징신호를 추출하는 것이다. 그러나 기존의 연구들은 주로 진단관점에서 특징신호를 추출하여 고장예지에는 적합하지 않은 측면이 있었다. 본 논문에서는 이러한 문제를 극복하기 위 해 베어링 고장 주파수의 에너지와 시간 사이의 상관계수 가중 합을 이용하여 베어링 수명 예측에 용이한 특징신호를 추출 하는 방법을 개발하였다. 그 결과 일반적으로 고장진단에서 많이 사용되고 있는 특징신호인 RMS에 비해서 결함 초기부터 단조로운 증가 경향의 특징신호를 추출함을 알 수 있었다. 이를 입증하기 위해서 NASA Ames에서 제공한 IMS bearing 진 동 데이터를 이용하였고 제시한 특징신호와 일반적인 RMS와 의 거동을 비교하여 유효성을 검증하였다.
구조물의 거동에 대한 파사드리거의 보강 효과를 검토하고 파사드리거의 최적위치를 추정할 수 있는 수치해석방법이 제시되었다. 구조물 상부의 수평변위를 최소화할 수 있는 파사드리거의 최적위치는 파사드리거의 구속효과에 의한 수평변위 감소량을 극대화함으로서 구할 수 있으며 가새골조와 파사드리거의 휨강성과 전단강성에 의해 크게 영향을 받는다. 본 연구에서는 3가지 형태의 하중, 즉 등분포하중과 삼각분포하중 그리고 구조물 상단에 작용하는 집중하중이 고려되었다. 파사드리거의 최적위치는 무차원 강성변수 의 함수로서 표현되었으며, 1개부터 4개의 파사드리거를 갖는 구조물을 대상으로 최적위치에 대한 도표를 작성하였다. 비록 본 연구에서 제시된 해석방법이 몇 가지의 가정을 기초로 유도되었으나 고층건물의 초기설계단계에서 파사드리거의 최적위치 결정을 위한 비교적 정확한 정보를 제공할 수 있다고 사료된다.
This study was conducted to determine physico-chemical properties and degree of heavy metal contamination of sediments collected at Yeosu harbor. Outside of harbor (Y1, Y2, and Y3) showed relatively lower ignition loss than those for Y4 and Y5. All sediment samples had similar oxides and minerals based on the XRD and XRF analyses. Heavy metal contamination of the sediments was evaluated using USEPA, Ontario sediment quality guidelines, index of geoaccumulation and total enrichment factor. In summary, sediment Y5 was classified as moderately contaminated region based on index of geoaccumulation and heavily polluted based on standards of USEPA, Ontario sediment quality guidelines, and total enrichment factor. Sample Y5 obtained from the inner side of harbor showed the highest heavy metal contents. Among five heavy metals measured at Y5, Cu concentration was extremely high, which indicated that harbor activity might influence the Cu concentration in harbor sediment.
In this study, five sediments samples were collected at near Hansan island. These samples were characterized whether they were contaminated or not. For this purpose, physico-chemical properties and metal contents were analyzed. From the elemental analyses, XRD, and XRF analyses, all samples showed similar elements, oxides, and minerals. In general, Cd, Cr, Ni, Pb, and Zn concentrations were below the contamination standards. Concentrations of Cu, however, exceeded the contamination standards of USEPA and Ontario sediment quality guidelines for some sampling sites. Ignition losses of the all samples were greater than 8%, which is a value indicating whether the sample is heavily polluted or moderately polluted. All the samples were classified as heavily polluted due to the high value of ignition loss. Therefore, sediments of the near Hansan island are required for periodic and strict management to prevent any harmful effects to the surrounding environments.
This paper represents the statistical characteristics of sources and receptors for road traffic noise in apartment complex. Also we suggested that the site-specific characteristics of vertical and horizontal distributions in the complex apartment have been derived using a different analysis for evaluating levels of Leq1h by the apartment floor at a given distance from a road in terms of the flow rate, the mean speed of the traffic, and the percentage of the type vehicles in the day and night periods. As a result, the contribution orders of traffic quantity by the type of vehicles showed as followed: light vehicle>medium vehicle>heavy vehicle>motorcycle. Especially, the mixing ratio of entering the road on the heavy vehicle in the daytime was two times higher than that of in the night. The speed in all types of vehicle is in the range of 41 and 81 km/hr and noise level was not significantly different in day and night-time. The sources of road traffic noise had different variations and uncertainties using a random variable and probability distribution. The sound distribution to receptors by the apartment floor showed S curve between 1st floor and 15th floor With the normality test, the normal distributions using Anderson-Darling Test followed 1st, 3th, 13th and 15th floor in the daytime and all floors except 7th floor in the night (p>0.05). And also, the value of the pearson correlation coefficient (r) obtained in this study have significantly different at the range of floor. In conclusion, the results suggested that the distribution characteristics of levels of Leq1h on the sources and receptors of road traffic noise in apartment complex must be improved and developed on the guideline of regulation of road traffic noise.