Existing reinforced concrete (RC) building frames constructed before the seismic design was applied have seismically deficient structural details, and buildings with such structural details show brittle behavior that is destroyed early due to low shear performance. Various reinforcement systems, such as fiber-reinforced polymer (FRP) jacketing systems, are being studied to reinforce the seismically deficient RC frames. Due to the step-by-step modeling and interpretation process, existing seismic performance assessment and reinforcement design of buildings consume an enormous amount of workforce and time. Various machine learning (ML) models were developed using input and output datasets for seismic loads and reinforcement details built through the finite element (FE) model developed in previous studies to overcome these shortcomings. To assess the performance of the seismic performance prediction models developed in this study, the mean squared error (MSE), R-square (R2), and residual of each model were compared. Overall, the applied ML was found to rapidly and effectively predict the seismic performance of buildings according to changes in load and reinforcement details without overfitting. In addition, the best-fit model for each seismic performance class was selected by analyzing the performance by class of the ML models.

본 연구에서는 대학 교수학습센터에서 제공하는 학습지원 프로그램의 성과를 종합적으로 평가하기 위한 BSC(Balanced Score Card) 기반의 성과평가 모형을 개발하고 적용하는 데 있다. 문헌 연구를 통해 성과평 가의 이론적 배경을 조사하고, BSC 모형을 교육 분야에 맞게 수정하여 학습지원 프로그램에 적용 가능한 평가 체계를 설계하였다. 재무, 수요 자, 운영, 프로그램의 네 가지 관점에서 성과평가 지표를 설정하고, 이를 기반으로 대학의 다양한 학습지원 프로그램의 성과를 분석하였다. 분석 결과, 특정 프로그램들이 높은 성과를 보임을 확인하였으며, 동시에 개선 이 필요한 영역을 확인하였다. 개발된 BSC 기반 성과평가 모형은 대학 학습지원 프로그램의 다각도에서의 성과를 평가하는 데 유용하였으며, 프로그램의 강점과 개선점을 명확하게 확인할 수 있었다. 이 연구를 통 하여 대학 교수학습센터가 학습지원 프로그램의 질을 개선하고, 대학 교 육의 질적 향상에 기여하길 기대한다.

본 연구에서는 수소 자원의 활용도가 높아짐에 따라 수소 저장 용기의 내진 성능을 평가하기 위해 수소 저장 시설을 방문하여 현장 조사를 수행하였다. 외관 조사 중, 수조 저장 용기의 지지부에서 부식이 진행됨을 확인하였고, 이에 대한 대책안 으로 내부식성 재료인 CFRP로 대체하여 성능을 평가, 검증하였다. 이를 위해 현장 조사 결과를 바탕으로 상용 유한요소해석 프 로그램인 ABAQUS를 사용하였으며, 해석 결과 CFRP로 제작된 수소 저장 용기의 지지부는 강재 대비 약 12배 이상 뛰어난 성 능을 보였다. Hashin Damage Criteria를 기반으로 CFRP 지지부의 안전성 검토를 수행한 결과 최대 손상 지수가 0.065로 확인되 었다. 기초부 콘크리트의 경우, 쪼갬 및 휨 인장 응력에 대한 안전성을 검토하였으며, 허용 강도 대비 7~36%의 안전도를 보였 다. 이를 근거로 CFRP를 수소 저장 용기의 지지부에 적용하는 것은 합리적이며, 뛰어난 경제성을 보인다. 다만, 이러한 결과는 수치 해석에 의하므로 실규모 지진동 모사 시험을 통해 해석 모델의 신뢰성을 보충할 필요가 있다.

PURPOSES : The number of snowfall and the amount of snowfall are gradually increasing, and due to the characteristics of Seoul, which has a lot of traffic, it is difficult to respond quickly with a snow removal method that relies on snow removal vehicles. Therefore, it is necessary to develop an IoT based eco-friendly snow removal system that can respond to unexpected heavy snow in winter. In this study, the low temperature operation and snow removal performance of the IoT road condition snow removal detector and the snow removal system using CNT and PCM are evaluated in the climatic environment chamber. METHODS : To make artificial snow, it consists of an climatic environment chamber that can simulate a low temperature environment and equipment that can supply compressed air and cold water. Depending on the usage characteristics of the climatic environment chamber, use an air-water type snow maker. In order to make artificial snow, wet temperature, which takes into account the actual air temperature and the amount of moisture in the air, acts as the most important variable and is suitable for making snow, below –1.5 ℃. The lower the water temperature, the easier it is to freeze, so the water source was continuously supplied at 0 ℃ to 4 ℃. One of the two different pipes is connected to the water tank to supply water, and the other pipe is connected to the compressor to supply high-pressure air. Water is dispersed by compressed air in the form of many small droplets. The sprayed microscopic water particles freeze quickly in the low temperature environmental climatic chamber air and naturally fall to the floor, forming snow. Based on the KS C IEC 60068-2-1 cold resistance test standard, an integrated environmental test procedure was prepared to apply to IoT-based snow removal systems and performance evaluation was performed accordingly. The IoT based eco-friendly snow removal system is needed to in winter, so visual check and inspect the operation at the climatic chamber before setting up it to the actual site. In addition, grid type equipment was manufactured for consistent and reliable snow removal performance evaluation under controlled environmental conditions. RESULTS : The IoT-based eco-friendly snow removal system normally carried out the task of acquiring data and images without damaging the appearance or freezing in a low temperature environment. It showed clear snow removal performance in areas where PCM and CNT heating technology were applied to the concrete slab. This experiment shows that normal snow removal tasks can be carried out in low temperature environments in winter. CONCLUSIONS : The integrated environmental test procedures and grid type evaluation equipment are applied to low temperature operation and snow removal performance evaluation of snow removal systems. In the climatic environment chamber, where low temperature environments can be simulated, artificial snow is created regardless of the season to derive quantitative experimental results on snow removal performance. PCM and CNT heating technology showed high snow removal performance. The system is expected to be applied to road site situations to preemptively respond to unexpected heavy snow in winter.

본 논문에서는 유한요소해석 프로그램을 통해 파괴 거동 유형별 철근콘크리트 기둥 및 폭발 하중을 모델링하였으며, 실제 실험과 의 동적 응답을 비교하여 모델의 적합성을 입증하였다. 개발한 모델을 이용하여 폭발 하중에 대한 부재의 동적 응답을 확인하기 위해 폭발 하중 시나리오를 설정하였으며 해당 시나리오별 폭발 하중에 대한 시간에 따른 변위 및 응력 결과를 도출하였다. 동적 응답을 통 해 폭발 하중에 대한 기둥의 성능평가(Ductility, Residual)를 수행하였으며 이를 비교 및 분석하였다.

PURPOSES : The purpose of this study was to evaluate the performance of a titanium dioxide (TiO2) asphalt surface treatment agent for reducing NOx on the roadside at laboratory and full scales. METHODS : To verify the NOx reduction performance of TiO2 and silicon-based resin-applied surface treatment agents at the lab scale, a bed flow photo reactor test (ISO standard) and a mixed tank photo reactor test designed to apply real-scale construction materials were conducted. Subsequently, the full-scale NOx reduction performance was verified using a full-scale demonstration facility, and the field construction capability of the TiO2 asphalt surface treatment agent was verified through actual road site application. RESULTS : The bed flow photoreactor and mixed tank photoreactor methods showed the same trend in the NOx removal performance. Evaluation of the NOx removal performance of the TiO2 surface treatment agent revealed that the NO removal rate was approximately 13% at the laboratory scale and 15% at full scale. CONCLUSIONS : Through this study, it was determined that the asphalt surface treatment agent applied with TiO2 will have a sufficient NOx reduction effect in an actual road site. In the future, it will be necessary to analyze the continuity of the effect according to traffic volume through continuous monitoring in the field.

New buildings have been designed using different seismic design standards that have been revised. However, the seismic performance of existing buildings is evaluated through the same performance evaluation guidelines. Existing buildings may not satisfy the performance targets suggested in the current guidelines, but there are practical limitations to discriminating the existing buildings with poor seismic performance through a full investigation. In this regard, to classify buildings with poor seismic performance according to the applied standard, this study aimed to evaluate performance-based investigation of the seismic design proposals of buildings with different design standards. The target buildings were set as RC ordinary moment frames for office occupancy. Changes in seismic design criteria by period were analyzed, and the design spectrum changes of reinforced concrete ordinary moment resisting frames were compared to analyze the seismic load acting on the building during design. The seismic design plan was derived through structural analysis of the target model, compared the member force and cross-sectional performance, and a preliminary evaluation of the seismic performance was performed to analyze the performance level through DCR. As a result of the seismic performance analysis through the derived design, the reinforced concrete ordinary moment frame design based on AIK 2000 has an insufficient seismic performance level, so buildings built before 2005 are likely to need seismic reinforcement.

Abstract Biosensors are a group of measurement systems and their design is based on the selective identification of analyses based on biological components and physical and chemical detectors. Biosensors consist of three components: biological element, detector, and converter. The design of biosensors in various fields of biological sciences, medicine has expanded significantly. Biosensor technology actually represents a combination of biochemistry, molecular biology, chemistry, physics, electronics, and telecommunications. A biosensor actually consists of a small sensor and biological material fixed on it. Because biosensors are a powerful tool for identifying biological molecules, today they are used in various medical sciences, chemical industry, food industry, environmental monitoring, pharmaceutical production, health, etc. In fact, these sensors are a powerful tool to identify biological molecules. In fact, biosensors are analytical tools that can use biological intelligence to detect and react with a compound or compounds, and thus create a chemical, optical, or electrical message. The basis of a biosensor is to convert a biological response into a message. In this category, the use of telecommunication engineering technology and electromagnetic waves and frequency and radio spectrum is growing more and more to detect, measure, and determine the desired parameters in microbiology and laboratory sciences. The use of radio, optical, electromagnetic, ultrasonic, and infrared wave detection technology is part of the applications of telecommunication science in this field. Even image and audio processing systems have been instrumental in the discussion of biosensors in microbiology. The science of using fiber optics and waveguides, micro-strip antennas, and microelectromechanical technology is also very efficient in the construction and design of these biosensors.

연층을 가지는 건축물들의 피해사례가 관측됨에 따라 기존 건축물 내진성능평가시 수직비정형의 고려가 중요해졌다. 하지만 기존 방법은 수직비정형을 충분히 반영하기 어렵기 때문에 수직비정형을 가지는 건축물에 대해 내진성능을 과소 혹은 과대평가할 여지가 있다. 본 연구는 강성기반 연층비(Soft Story Ratio, SSR)를 이용해 수직비정형 건축물의 내진성능평가 기법을 개발하는데 목적이 있다. SSR은 변위에 대한 요구량과 능력의 비율을 나타내고, 강성차이에 의한 수직비정형을 고려하여 건축물의 변위집중 비율을 의미하는 파라미터다. 1층 기둥을 변수로 하는 필로티 건축물 네 개를 대상으로 개발한 내진성능평가 기법을 기존의 내진성능평가 기법과 비교하였다. 기존 기법은 수직비정형이 극대화되는 모델에 대해 내진성능을 과대평가하는 경우가 발생하였다. 반면 제안된 기법은 모든 모델에 대해서 상세평가의 결과와 동일했다. 따라서 제안하는 내진성능평가 기법은 수직비정형이 극대화되는 필로티 건축물에서 기존의 방법보다 정밀하게 내진성능평가 결과를 제공할 수 있다고 사료된다.

MRI는 연부조직에 대한 고해상도의 영상을 제공하며 진단적 가치가 매우 높은 영상 검사이며, 디지털 데이터를 이용하여 딥러닝 기술을 통해 컴퓨터 보조 진단 역할을 수행할 수 있다. 본 연구는 딥러닝 기반 YOLOv3를 이용하여 뇌종양 분류 성능을 확인해 보고자 한다. 253장의 오픈 MRI 영상을 이용하여 딥러닝 학습을 진행하고 학습 평가지표는 평균손실(average loss)와 region 82와 region 94를 사용하였으며, 뇌종양 분류 모델 검증을 위해 학습에 사용되지 않은 영상을 이용하여 검출 성능을 평가하였다. 평균손실은 2248 epochs 시 0.1107, region 82와 region 94의 24079 반복학습 시 average IoU, class, .5R, .75R은 각각 0.89와 0.81, 1.00과 1.00, 1.00과 1.00, 1.00과 1.00의 결과값을 도출하였다. 뇌종양 분류 모델 검증 결과 정상 뇌와 뇌종양 각각 95.00%, 75.36%의 정확도로 분류할 수 있었다. 본 연구 결과를 통해 MRI 영상을 활용한 딥러닝 연구 및 임상에 기초자료로 사용될 것이라 사료된다.

The resilience performance evaluation method of a structure can evaluate the ability to recover after an earthquake disaster, and this study deals with the consideration and introduction of the resilience performance evaluation method. The resilience evaluation method can be expressed as a quantified number by constructing a loss estimation model and a recovery evaluation model. The recovery evaluation model should consider downtime in addition to the repair time, and the loss estimation model should consider not only direct loss to structures and non-structures, but also indirect loss due to functional loss of the building. In addition, to build a loss estimation model, the structure should be simplified to perform an efficient analysis. Therefore, in this study, the equivalent terminal induction system proposed cantilever-type and rahmen-type SDOF, and it is evaluated somewhat conservatively compared to the example structure, and it is judged that there is a need to improve the hysteresis characteristics by applying the stiffness reduction factor of the SDOF model.

PURPOSES: This study evaluated the effect of fog seal treatment utilizing an agricultural oil-based asphalt concrete sealant (ABCS) on the long-term performance of an asphalt pavement. METHODS: Fog seal treatment using ABCS was applied on 800 m of the pavement section in the test section with a total length of 2,400 m; the remaining pavement section was not considered for this treatment. A series of laboratory and field tests were conducted on both sections, including a Marshall stability test, penetration test, viscosity test, skid resistance test, and pavement surface macrotexture test. In addition, the pavement condition index (PCI) was determined 8 years after the ABCS application to evaluate the effect of the ABCS treatment on the pavement’s long-term performance. RESULTS : The ABCS-treated section exhibited a PCI of 75, whereas the non-treated section exhibited a value of 64. Furthermore, a MicroPAVERTM‚ pavement management system determined that the pavement deterioration rates (i.e., drops in PCI) were 3.6 and 5.1 per year for the ABCS-treated and non-treated sections, respectively. CONCLUSIONS : The results of the series of laboratory and field tests revealed that the ABCS treatment increased the pavement performance life by approximately 3.5 years.

A connected control method for the adjacent buildings has been studied to reduce dynamic responses. In these studies, seismic loads were generally used as an excitation. Recently, multi-hazards loads including earthquake and strong wind loads are employed to investigate control performance of various control systems. Accordingly, strong wind load as well as earthquake load was adopted to evaluate control performance of adaptive smart coupling control system against multi-hazard. To this end, an artificial seismic load in the region of strong seismicity and an artificial wind load in the region of strong winds were generated for control performance evaluation of the coupling control system. Artificial seismic and wind excitations were made by SIMQKE and Kaimal spectrum based on ASCE 7-10. As example buildings, two 20-story and 12-story adjacent buildings were used. An MR (magnetorheological) damper was used as an adaptive smart control device to connect adjacent two buildings. In oder to present nonlinear dynamic behavior of MR damper, Bouc-Wen model was employed in this study. After parametric studies on MR damper capacity, optimal command voltages for MR damper on each seismic and wind loads were investigated. Based on numerical analyses, it was shown that the adaptive smart coupling control system proposed in this study can provide very good control performance for Multi-hazards.

본 연구에서는 역량스펙트럼법을 이용해 얻어진 구조물의 성능점을 확률적으로 평가하는 방법을 제시하였다. ATC-40에 따라 역량스펙트럼법을 이용하여 4층 1경간 철골구조물의 성능점을 산정하였다. 요구스펙트럼을 이용하여 구조물의 성능한계를 초과하는지 여부를 분석하기 위해 구조부재의 소성변형각으로부터 정의되는 구조물의 성능한계에 대해 한계변위를 도출하였다. 또한 설계응답스펙트럼과 유사한 응답스펙트럼을 가지는 인공지진파 30개를 선정하여 스펙트럼 가속도에 따른 각 성능한계의 초과여부를 통해 fragility curve를 도출하였다. 관측된 초과확률을 이용하여 fragility curve를 도출하기 위해 maximum likelihood method를 사용하였다. 각 성능한계점에 대응하는 설계응답스펙트럼의 응답가속도값에서 성능한계점을 초과할 확률은 존재하는 것으로 확인되었다. 본 방식은 구조물의 성능점에 대해 지진파의 불확실성을 고려한 확률적 평가가 가능하고, 시간증분해석이 필요하지 않아 해석시간을 상당부분 단축시킬 수 있다는 장점이 있다.

PURPOSES : The current practice in car headlight visibility performance evaluation is based on the luminous intensity and illuminance of headlight. Such practice can be inappropriate from a visibility point of view where visibility indicates abilities to perceive an object ahead on the road. This study aimed at evaluating the appropriateness of current headlight evaluation methodMETHODS: This study measured the luminance of object and road surface at unlit roadways. The variables were measured by vehicle type and by headlight lamp type. Based on the measurements, the distance where drivers can perceive an object ahead was calculated and then compared against such distance obtained by conventional visibility performance evaluation.RESULTS: The evaluation method based on illuminance of headlight is not appropriate when viewed from the visibility concept that is based on object-perceivable distance. Further, the results indicated a shorter object-perceiving distance even when road surface luminance is higher, thereby suggesting that illuminance of headlight and luminance of road surface are not the representative indices of nighttime visibility.CONCLUSIONS : Considering that this study utilized limited vehicle types and that road surface (background) luminance can vary depending on the characteristics of the given road surface, it would likely go too far to argue that this study’s visibility performance evaluation results can get generalized to other conditions. Regardless, there is little doubt that the current performance evaluation criterion which is based on illuminance, is unreasonable. There should be future endeavors on the current subject which will need to explore study conditions further, under which more experiments should be conducted and effective methodologies developed for evaluating automotive headlight visibility performance. Needs are recognized particularly in the development of headlight visibility performance evaluation methodology which will take into account road surface (background) luminance and luminance contrast from various perspectives as the former indicates the driver’s perception of the front road alignment and the latter being indicative of object perception performance.