In this study, alternative seismic force-resisting systems for plant structure supporting equipment were designed, and the seismic performance thereof was compared using nonlinear dynamic analysis. One alternative seismic force-resisting system was designed per the requirement for ordinary moment-resisting and concentrically braced frames but with a reduced base shear. The other seismic force-resisting system was designed by accommodating seismic details of intermediate and unique moment-resisting frames and special concentrically braced frames. Different plastic hinge models were applied to ordinary and ductile systems based on the validation using existing test results. The control model obtained by code-based flexible design and/or reduction of base shear did not satisfy the seismic performance objectives, but the alternative structural system did by strengthened panel zones and a reduced effective buckling length. The seismic force to equipment calculated from the nonlinear dynamic analysis was significantly lower than the equivalent static force of KDS 41 17 00. The comparison of design alternatives showed that the seismic performance required for a plant structure could be secured economically by using performance-based design and alternative seismic-force resisting systems adopting minimally modified seismic details.

Thin-film shape technology is recognized for its core technology to enhance the technology of LCD, PDP, semiconductor manufacturing processes, hard disks and optical disks, and is widely used to form coated thin films of products. In addition, resistance (electron beam filament) technology for heating is used to manufacture filament for ion implants used in semiconductor manufacturing processes. By establishing an electronic beam filament production system and developing seven specifications of electronic beam filament, it is contributing to improving trade dynamics and increasing exports to Japan through localized media of theoretical imports to domestic companies. In this study, CAE analysis was performed after setting electron beam filament specification and development objectives, facilities and fabrication for electron beam filament production, electron beam filament JIG & fixture design and fabrication followed by electron beam filament prototype. Then, the automation and complete inspection equipment of the previously developed electronic beam filament manufacturing facilities was developed and researched to mass-produce them, to analyze and modify prototypes, design and manufacture automation facilities, and finally, to design and manufacture the complete inspection equipment. In this paper, mainly design and manufacturing of facilities for making electron beam filament were dealted with.

The types and distribution ratio of odor removal systems installed in publicly owned environmental facilities such as sewage treatment, wastewater treatment, manure treatment, livestock manure treatment, and food waste treatment were investigated. Since the intensity of the odor and the composition of the odor substances are different depending on the type of each public treatment facility, different odor removal efficiencies were derived depending on the applied odor removal technology. In addition, the removal efficiency of complex odors and individual odor substances of odor removal systems such as those applying biofilters, scrubbers, and adsorption towers were also compared and evaluated. Although it depends on each odor removal technology and application facility, about 50% of various odor removal systems presented an odor removal performance of less than 30%. The odor removal systems with an odor removal efficiency of 70% or more were evaluated to be less than 30% of the total number. Therefore, we suggest that odor removal efficiencies should be improved through continuous monitoring, diagnosis, reinforcement of maintenance, and improvement of systems.

In the case of a die-casting process, defects that are difficult to confirm by visual inspection, such as shrinkage bubbles, may occur due to an error in maintaining a vacuum state. Since these casting defects are discovered during post-processing operations such as heat treatment or finishing work, they cannot be taken in advance at the casting time, which can cause a large number of defects. In this study, we propose an approach that can predict the occurrence of casting defects by defect type using machine learning technology based on casting parameter data collected from equipment in the die casting process in real time. Die-casting parameter data can basically be collected through the casting equipment controller. In order to perform classification analysis for predicting defects by defect type, labeling of casting parameters must be performed. In this study, first, the defective data set is separated by performing the primary clustering based on the total defect rate obtained during the post-processing. Second, the secondary cluster analysis is performed using the defect rate by type for the separated defect data set, and the labeling task is performed by defect type using the cluster analysis result. Finally, a classification learning model is created by collecting the entire labeled data set, and a real-time monitoring system for defect prediction using LabView and Python was implemented. When a defect is predicted, notification is performed so that the operator can cope with it, such as displaying on the monitoring screen and alarm notification.

Due to the development of the industry, the machinery of plant facilities becomes large and operates at high speed and high power. Workers at plant facility sites are exposed to high noise and impact noise, and the number of people with noise-induced hearing loss is increasing every year. Therefore, in order to minimize such damage, many efforts have been made to reduce the noise of large machines in production facilities. Measures, education, and recommendation of wearing hearing protectors are needed to protect the hearing of workers in high noise industries. In addition, it is urgent to reduce noise sources by blocking noise propagation paths, such as installing noise boxes and silencers, and installing facilities and equipment that generate less noise. It is necessary to repair the noise reduction device of the large machine of the plant or to study the noise reduction device when designing the plant.

대형액화천연가스(Liquefied Natural Gas, LNG)선이 연안 터미널에 정박할 경우 바람과 조류 등의 환경하중에 대응하여 안전을 확보할 수 있는 계류 안전을 위한 케이블 계류력 산정이 필요하다. 이에 기존의 주요 계류역(Mooring Force) 계산방법의 비교 및 분석을 수 행하였다. 비교 및 분석을 통해 석유회사국제해운포럼(Oil Companies International Marine Forum, OCIMF)의 계류설비지침에서 권고하는 계산 방법을 선정하였으며 이를 기반으로 본 논문에서는 실제 대형 LNG선에 적용하여 OCIMF 계류설비지침의 스펙트럼을 이용한 계류줄의 계 류력 계산 사례를 제시하였다. OCIMF 계류설비지침에 따른 스펙트럼으로 계산한 계류력은 환경 외력과 풍동 시험으로 계산한 바람저항 계수 기반 선박 환경 외력과 최대값에서 매우 유사한 결과값을 주는 것을 확인할 수 있었다. OCIMF 계류설비지침에 따른 스펙트럼으로 계산한 계류력에 대한 검증으로 전문 계류력 계산 소프트웨어인 OPTIMOOR 소프트웨어를 사용하여 결과를 비교하였으며 둘의 결과는 매 우 유사한 것을 확인하였다. OPTIMOOR를 사용할 경우에는 각각의 케이블의 인장력을 정밀하게 계산할 수 있어 경제적인 제약이 없을 때 적극적 사용이 추천된다. 결론적으로 OCIMF 계류설비지침에 따른 스펙트럼으로 계산한 계류력이 대형 LNG선의 계류력 계산에 적용함에 문제가 없음을 실제 계산 사례를 통해 검증할 수 있었다.

In korea, 500MW standard coal fired power plants were designed and operated for the initial base load, so facility stability was prioritized from facility problem to treatment, but now we needed to research for minimizing greehouse gas emissions at the operation of coal fired power plants. research on various facilities and technologies was actively conducted to reduce environment pollutants was drastically reduced, but research and attempts on coping measures in the event of a reduction facility problem were in sufficient. this study considered investigated ways to minimized pollutants by quickly responding to logic development and application of the load runback concept in case of serious problems with environmental pollutant reduction facilities such as NOx reduction selective catalytic reduction facilities, SOx reduction wet flue gas desulpherisation facilities, and TSP(Total Suspended Particles) collection low temperature electric precipitator.

In this study, we learned about the effects of indoor radon concentration reduction associated with the operation of a mechanical ventilation system at an apartment house. The experimental parameters were mainly the indoor radon level and air change rate, which were controlled by the amount of emissions released and fan motor speed. Even at the high level of radon diffused in an apartment house, indoor radon concentrations converged to the Korean national guideline level within 3 to 4 hours when the air was ventilated at 0.5 ACH and 0.7 ACH. In the case of 0.3 ACH, however, where the degree of ventilation was insufficient compared to the legal air change rate, the high concentration indoor radon could not be sufficiently removed even if the mechanical ventilation system was operated for more than 14 hours continuously. When the indoor radon level was high, the reduction rate was 34.3% for 0.3 ACH, 70.4% for 0.5 ACH, and 69.7% for 0.7 ACH at 6 hours-operation, while at the medium-level, indoor radon can be reduced by 46.2% (0.3 ACH) to 73.2% (0.7 ACH). Depending on the indoor concentration range, it may be required to secure a ventilation rate of 0.5 ACH or more at all times. In addition, in apartment houses with excellent airtight performance, even if indoor radon is at a level similar to the national guideline, it is difficult to expect a reduction in the concentration due to natural decay. Therefore, it is desirable to lower the indoor concentrations as much as possible.

This study was designed to verify what effect the use of a natural ventilation system can have on improving indoor air quality with regard to radon in various concentration ranges in an apartment house. The results show that both high (2~3 times higher than 148 m3) and low (similar to 148 Bq/m3) levels of indoor radon concentrations can be reduced close to and/or below the Korean IAQ guideline within 6 hours when the natural ventilation system is operated at approximately an air change rate of 0.5. In the case of an air change rate of 0.3, however, the indoor radon levels cannot meet the national guidelines and the reduction effect was insufficient with regard to various radon concentrations. Typically, the air change rate of a natural ventilation system is affected by meteorological factors such as temperature, relative humidity, wind speed, pressure. Its effectiveness varies according to such factors, for that reason, the reduction effects on radon did not increase proportionally with the ventilation time in this study.

This paper is to study the technology of inspection and history management systems for wind power that are continuously increasing around the world. In the past, inspections and analysis of major devices in renewable energy system have been operated in an analog way that identifies problems through photography and passive method. To improve this problem, we conduct a study on VR-based inspection history management system using 3D texturing technique of drone image. The paper describes the current status and prospects of wind power, research and development of wind power blade inspection and history management systems, experiments and reviews in the field, and expected effects and future utilization of this technology. It is expected that the latest technology for inspection and management of renewable system will be secured and introduced to the site through the development research of this system to reduce maintenance costs and power generation costs.

To ensure the safety and functionality of a railroad bridge, maintaining the integrity of the bridge via continuous structural health monitoring is important. However, most structural integrity monitoring methods proposed to date are based on modal responses which require the extracting process and have limited availability. In this paper, the applicability of the existing damage identification method based on free-vibration reponses to time-domain deflection shapes due to moving train load is investigated. Since the proposed method directly utilizes the time-domain responses of the structure due to the moving vehicles, the extracting process for modal responses can be avoided, and the applicability of structural health evaluation can be enhanced. The feasibility of the presented method is verified via a numerical example of a simple plate girder bridge.

In this study, according to the staking method of the fire hose in the indoor hydrant system, the number of kinks when the fire hose is deployed was measured and analyzed to examine how the staking method of the fire hose affects the kink when the hose is deployed. The fire hose staking method was classified into three types: donut-type, accordion-type, and hose hanger-type, and the walking speed and number of kinks were measured by repeating the experiment 5 times for male and female students. The results of the study are as follows. (1) Among the three types of fire hose staking methods, the donut-type staking method had an average of 92 times for male students and 86 times for female students on average. (2) The accordion-type and hose hanger-type staking methods showed similar results with an average of one or two kinks for both male and female students. (3) Regardless of the staking method, it was found that in general, male students with high walking speed had more kinking than female students with slow walking speed.