In constructing the cast-in-place concrete track system, the installation of reinforcing bars to a TCL is one of the main causes of consuming construction time. In this study, to eliminate the reinforcing bar installation process, the applicability of the fiber reinforced concrete to the TCL is studied using the numerical analysis. The analysis is performed using the commercial finite element program, ABAQUS, and, in the analysis, the effect of the variations in fiber content rate and the surrounding temperature is considered. From the analysis, it is found that the fiber reinforced concrete has better applicability than the existing reinforced concrete with steel bar.
The objectives of this study were to evaluate the antimicrobial effects of ε-poly-L-lysine mixture (EPM) on cheon-ggukjang and to determine the optimal mixing ratio in cheonggukjang. Increasing the EPM up to 2% decreased via-ble cell counts at both 15oC and 30oC storage. The pH of cheonggukjang without EPM increased slowly over thestorage periods, but cheonggukjang with EPM showed a slight increasing tendency, with the highest pH at 2% EPM.The sensory scores, such as texture and flavor, were highest in samples containing 2% EPM; however, overall pref-erence was not significantly different when compared to the control. For the optimum cheonggukjang processingconditions, 13 experimental points were selected. Soybean and EPM were chosen as independent variables. Viablecell count, pH, texture, and overall preference were measured. The optimum formulation of cheonggukjang usingthe numerical analysis was found to be 98.52% soybean and 1.48% EPM, resulting in a 0.722 desirability value.
어육장의 항산화활성은 L. halophilus와 red ginseng powder를 첨가한 어육장에서 control보다 높은 결과를 얻어 기능성 향상에 기여함을 보여주었다. 반면에 ε-poly-L-lysine의 경우 기능성 부여에는 제한이 따르지만 미생물의 생육을 저해함을 보임으로서 어육장의 저장성 증진에 효과를 보였다. 또한 L. halophilus에서도 같은 효과를 보이는데, 이는 저장 중 생성되는 유기산과 pH 감소 때문인 것으로 사료된다. 관능평가의 경우 풍미에서는 L. halophilus 첨가군이, 짠맛과 전체적인 기호도는 red ginseng powder 첨가군이 가장 높은 점수를 얻었으나 control에 비해 유의차가 없었다. 병원성균이 저장 전후로 검출되자 않아 12주의 저장기간 동안에 안전한 것으로 나타났다.
Reaction bonded silicon carbide (RBSiC) is an important engineering ceramic because of its high strength and stability at elevated temperatures, and it is currently fabricated using reasonably cheap manufacturing processes, some of which have been used since the 1960s. However, forming complicated shapes from these materials is difficult because of their poor workability. The purpose of this work is to join the reaction-bonded SiC parts using a preceramic polymer as joint material. The manufacturing of ceramic material in the system Si-O-C from preceramic silicon containing polymers such as polysiloxanes has attained particular interest. The mixtures of preceramic polymer and filler materials, such as SiC, Si and MoSi, were used as a paste for the joining of reaction sintered SiC parts. The joining process during the annealing in Ar atmosphere at were described. The maximum strength of the joints was 63 MPa for the specimen joined with 10 vol.% of and 30 vol.% of SiC as filler materials. Fracture occurred in the joining layer. This indicates that the joining strength is limited by the strength of the joint materials.
본 연구는 실험적 방법과 해석적 방법을 통하여 반복하중을 받는 ├형 철근콘크리트 접합부의 전단특성을 파악함을 목적으로 한다. ├형 접합부는 고강도 재료의 사용으로 인한 체적의 감소 뿐만 아니라, 지진발생 시 반복하중의 작용으로 인한 변동축력 등으로 , 구조적으로 취약한 부분이 될 가능성이 있다. 따라서 본 연구에서는 ├형 접합부의 전단특성을 파악하기 위하여 기동축력, 콘크리트 압축강도, 접합부 전단보강근비를 변수로 한 12개의 실험체를 제작하여 가력실험을 수행하였다. 또한, 유한요소 해석을 수행하여 본 실험결과와의 비교 검토를 통하여 타당성을 검토한 후, 기둥축력과 콘크리트 압축강도의 변화에 대한 변수해석을 통하여 접합부의 전단강도에 미치는 변수는 영향을 파악하였으며, 실험에 의한 실험체의 전단내력을 기존에 제안된 AIJ, ACI 규준 등과 비교 검토하였다. 본 연구의 결로부터 기둥축력과 콘크리트 압축강도가 ├형 철근콘크리트 접합부의 전단강도에 미치는 영향을 확인하였다.
최근 철도의 고속화 및 중량화에 따라 주행 시 보다 높은 안전성을 확보할 수 있으며, 유지보수 비용을 절감할 수 있는 콘크리트 궤도의 부설이 증가하고 있다. 일반적으로 콘크리트 궤도의 대표적인 단점으로는 자갈 궤도에 비하여 탄성이 부족하여 소음 및 진동에 불리한 점이 있으나, 이외에도 콘크리트 표면에 발생할 수 있는 균열 등의 열화요소에 대한 적절한 관리가 이뤄지지 않을 경우 열차의 안전에 큰 위협 요소가 되며 막대한 교체 비용을 초래할 수 있다. 이 논문에서는 현재 경부 및 호남 고속선에 부설된 현장타설형 콘크리트 궤도 도상에 대한 균열 해석을 통하여 도상에 배근되는 철근의 역할을 규명하고, 보다 시공성을 제고할 수 있으며 균열 발생 가능성을 저감할 수 있는 시공 방안을 제시하였다. 콘크리트 궤도에 대한 균열 해석은 ABAQUS를 사용하여 수행하였다.
Recently, the number of jellyfish has been rapidly grown because of the global warming, the increase of marine structures, pollution, and etc. The increased jellyfish is a threat to the marine ecosystem and induces a huge damage to fishery industries, seaside power plants, and beach industries. To overcome this problem, a manual jellyfish dissecting device and pump system for jellyfish removal have been developed by researchers. However, the systems need too many human operators and their benefit to cost is not so good. Thus, in this paper, the design, implementation, and experiments of autonomous jellyfish removal robot system, named JEROS, have been presented. The JEROS consists of an unmanned surface vehicle (USV), a device for jellyfish removal, an electrical control system, an autonomous navigation system, and a vision-based jellyfish detection system. The USV was designed as a twin hull-type ship, and a jellyfish removal device consists of a net for gathering jellyfish and a blades-equipped propeller for dissecting jellyfish. The autonomous navigation system starts by generating an efficient path for jellyfish removal when the location of jellyfish is received from a remote server or recognized by a vision system. The location of JEROS is estimated by IMU (Inertial Measurement Unit) and GPS, and jellyfish is eliminated while tracking the path. The performance of the vision-based jellyfish recognition, navigation, and jellyfish removal was demonstrated through field tests in the Masan and Jindong harbors in the southern coast of Korea.
The camera has limitations of poor visibility in underwater environment due to the limited light source and medium noise of the environment. However, its usefulness in close range has been proved in many studies, especially for navigation. Thus, in this paper, vision-based object detection and tracking techniques using artificial objects for underwater robots have been studied. We employed template matching and mean shift algorithms for the object detection and tracking methods. Also, we propose the weighted correlation coefficient of adaptive threshold -based and color-region-aided approaches to enhance the object detection performance in various illumination conditions. The color information is incorporated into the template matched area and the features of the template are used to robustly calculate correlation coefficients. And the objects are recognized using multi-template matching approach. Finally, the water basin experiments have been conducted to demonstrate the performance of the proposed techniques using an underwater robot platform yShark made by KORDI.