The purpose of this study was to determine whether there are differences in the verbal interactions of earth science gifted depending on their communications structures and group status in small group activities. To this end, a small group activity was conducted to measure the density of the earth, and 8 small groups were selected, including 4 coownership type and 4 monopolistics type groups with different communication structures. And then, the framework was developed for analyzing verbal interactions to compare the differences in characteristics between small groups. The results are as follows. First, regardless of the communication structures, there were showing a simple pingpong-type communication structures for all small groups. Second, negative interactions such as ‘restraint’, ‘command’, ‘complaint’, and ‘lack of confidence’ predominantly appeared in all small groups. Third, the students in the status of out-lookers in small groups were mainly verbal interactions, such as instructing the other person, acting against the other person’s actions, and expressing dissatisfaction with the attitudes and abilities of members. Therefore, teachers should guide students to use higher-level verbal interactions in their group activities in small group activities, and engage in students communication to prevent negative interactions from occurring. The teachers also need to check the level of achievement for students in the status of out-lookers in advance and guide them to participate more actively in small group activities. This study is meaningful in that it can be sued to design teaching and learning to improve students’ problem solving and communication skills.

In this study, we developed a learning progression for the structure of the solar system using multi-tier supply form items and validated its appropriateness. To this end, by applying Wilson’s (2005) construct modeling approach, we set up ‘solar system components,’ ‘size and distance pattern of solar system planets,’ and ‘solar system modeling’ as the progress variables of the learning progression and constructed multi-tier supply form items for each of these variables. The items were applied to 150 fifth graders before and after the classes that dealt with the ‘solar system and star’ unit. To describe the results of the assessment, the students’ responses to each item were categorized into five levels. By analyzing the Wright map that was created by applying the partial credit Rasch model, we validated the appropriateness of the learning progression based on the students’ responses. In addition, the validity of the hypothetical pathway that was established in the learning progression was verified by tracking changes in the developmental level of students before and after the classes. The results of the research are as follows. The bottom-up research method that used multi-tier supply form items was able to elaborately set the empirical learning progression for the conceptualization of the structure of the solar system that is taught in elementary school. In addition, the validity of the learning progression was high, and the development of students was found to change with the learning progression.

Bismuth vanadate (BiVO4) is considered a potentially attractive candidate for the visible-light-driven photodegradation of organic pollutants. In an effort to enhance their photocatalytic activities, BiVO4 nanofibers with controlled microstructures, grain sizes, and crystallinities are successfully prepared by electrospinning followed by a precisely controlled heat treatment. The structural features, morphologies, and photo-absorption performances of the asprepared samples are systematically investigated and can be readily controlled by varying the calcination temperature. From the physicochemical analysis results of the synthesized nanofiber, it is found that the nanofiber calcines at a lower temperature, shows a smaller crystallite size, and lower crystallinity. The photocatalytic degradation of rhodamine-B (RhB) reveals that the photocatalytic activity of the BiVO4 nanofibers can be improved by a thermal treatment at a relatively low temperature because of the optimization of the conflicting characteristics, crystallinity, crystallite size, and microstructure. The photocatalytic activity of the nanofiber calcined at 350oC for the degradation of RhB under visible-light irradiation exhibits a greater photocatalytic activity than the nanofibers synthesized at 400oC and 450oC.

본 연구는 무등산국립공원 옛길 제2구간의 식생구조를 파악하기 위해 시행되었다. 총 60개의 조사구를 설치 및 조사하여 TWINSPAN과 DCA를 통해 군락을 분류한 결과 총 5개의 군락으로 분류되었다. 군락Ⅰ은 낙엽활엽수군락, Ⅱ는 소나무-졸 참나무군락, Ⅲ은 졸참나무군락, Ⅳ는 비목나무군락, Ⅴ는 신갈나무군락으로 최종 분류되었다. 분류된 군락들은 해발고에 따른 우점종의 분포가 뚜렷하게 나타났다. 군락 Ⅳ를 제외한 4개의 군락은 교목층의 수종이 우점하는 가운데 아교목층에서 때죽나무가 우점하는 현재의 군락의 형태가 유지될 것으로 판단된다. 한편, 군락 Ⅱ~Ⅳ의 관목층에 발달한 조릿대는 일시개화 및 고사 이후 하부식생 천연갱신에 대한 모니터링이 필요할 것이다. 군락 Ⅱ의 소나무-졸참나무간의 경쟁관계는 장기적인 측면에서 소나무군락의 세력 감소에 대한 관찰이 요구된다. 옛길 2구간은 해발고별 식생의 변화가 뚜렷하고 무등산국립공원의 깃대종인 털조장나무가 자생하는 등 생태적으로 가치가 높은 탐방로로써, 지속가능한 이용을 통해 우수한 산림생태계를 보전하여야 한다.

The automotive industry has focused on the development of metallic materials with high specific strength, which can meet both fuel economy and safety goals. Here, a new class of ultrafine-grained high-Mn steels containing nano-scale oxides is developed using powder metallurgy. First, high-energy mechanical milling is performed to dissolve alloying elements in Fe and reduce the grain size to the nanometer regime. Second, the ball-milled powder is consolidated using spark plasma sintering. During spark plasma sintering, nanoscale manganese oxides are generated in Fe-15Mn steels, while other nanoscale oxides (e.g., aluminum, silicon, titanium) are produced in Fe-15Mn-3Al-3Si and Fe-15Mn-3Ti steels. Finally, the phases and resulting hardness of a variety of high-Mn steels are compared. As a result, the sintered pallets exhibit superior hardness when elements with higher oxygen affinity are added; these elements attract oxygen from Mn and form nanoscale oxides that can greatly improve the strength of high-Mn steels.

The effect of sublimable vehicles on the pore structure of Cu fabricated by freeze drying is investigated. The 5 vol% CuO-dispersed slurries with camphene and various camphor-naphthalene compositions are frozen in a Teflon mold at -25oC, followed by sublimation at room temperature. After hydrogen reduction at 300oC and sintering at 600 °C, the green bodies of CuO are completely converted to Cu with various pore structures. The sintered samples prepared using CuO/camphene slurries show large pores that are aligned parallel to the sublimable vehicle growth direction. In addition, a dense microstructure is observed in the bottom section of the specimen where the solidification heat was released, owing to the difference in the solidification behavior of the camphene crystals. The porous Cu shows different pore structures, such as dendritic, rod-like, and plate shaped, depending on the composition of the camphornaphthalene system. The change in pore structure is explained by the crystal growth behavior of primary camphor and eutectic and primary naphthalene. Keywords: Porous Cu, Pore structure

본 논문은 유한요소법과 유전알고리즘을 연동하여 지진하중을 받는 구조물의 강성저하(손상) 및 보강 후 효과를 추정하는 방법을 다루었다. 본 연구의 독창성은 지진하중을 적용하였고, 그 응답으로부터 구조물의 미지 변수를 추정한다는 점이다. 본 연구에서 제안한 방법은 지진하중으로부터 손상된 부위를 추정할 뿐 아니라, 그 위치와 정도를 규명할 수 있다. 제안한 방법을 검증하기 위하여 El Centro 및 포항 지진하중을 적용하여 저층 뼈대구조물와 트러스 교량을 대상으로 알고리즘을 실행하였다. 수치해석 예제는 제안한 방법이 수치해석적인 효율성 뿐 아니라 지진으로부터의 심각한 피해를 예방하는 데 적용할 수 있음을 보여주었다.

변전소 구조물 내부에 설치되는 전력설비의 내진설계 시 사용되는 변수인 가속도 증폭계수는 미국, 일본과 국내의 변전소 내진설 계기준에서 제시되어 있다. 국내 설계기준에 제시된 가속도 증폭계수는 미국, 일본의 설계기준에서 제시된 계수와는 달리 변전소 구조물의 층수가 4층 이상일 경우에는 동적해석을 수행하여 가속도 증폭계수를 구하게 되어 있다. 국내의 변전소 구조물은 대부분 층수가 4~5층이므로 기존의 가속도 증폭계수는 실제 변전소 구조물에 적용하기에 미흡한 상황이다. 국내 변전소 구조물 형식에 적합한 가속도 증폭계수를 제시하기 위하여 대표적인 7가지 구조형식의 변전소 구조물에 대하여 가속도 증폭계수를 평가하였다. 가속도증폭 계수는 변전소 구조물에 대하여 원거리 지진과 근거리 지진을 사용하여 내부-구조물 응답스펙트럼을 작성하여 이로부터 평가하였다. 미국, 일본 전력설비 내진설계 기준에 따른 각각의 가속도 증폭계수 αj, αA는 근거리 및 원거리 지진을 사용한 동적 해석으로 구한 가 속도 증폭계수에 비하여 다소 과대평가하는 경향이 있다.

풍방향 공력감쇠는 항상 정감쇠 형태로 나타나기 때문에 구조물 진동을 더욱 안정화하는 경향이 있다. 준정상 가정에 의하여 공력감쇠를 예측할 수 있는 이론적 모델은 풍방향 공력감쇠의 발현특성을 모사하고, 발현에 영향을 미치는 영향인자를 설명하고 있다. 본 연구에서는 공탄성 실험을 통해 얻어진 계측응답으로부터 추정된 풍방향 감쇠를 이론적 풍방향감쇠와 비교하여 준정상 가정으 로부터 구해진 이론적 모델의 정합성을 평가하였다. 풍방향 감쇠는 최신 개발된 시스템 식별기술인 가상동적가진기에 의한 방법을 이 용하여 구한다. 본 연구결과로부터 풍방향 공력감쇠는 준정상가정에 의한 이론적 모델과의 차이를 보이며, 이것은 주로 높이별, 평균 풍속에 따른 난류강도의 크기에 의하여 영향을 받는 것으로 나타났다.

2-브로모에틸 에틸 에테르를 이용한 2-에티닐피리딘의 무촉매 중합을 통하여 측쇄에 에테르 부분을 갖는 새로운 공액구조 고분자를 합성하였다. 이 중합반응은 비교적 낮은 온도 조건에서도 균일하게 잘 진행 되었으며 89%의 수율로 해당 고분자를 합성할 수 있었다. NMR, IR, UV-visible 분광분석기 등을 이용하여 고 분자의 구조를 분석한 결과 설계한 치환기를 갖는 해당 고분자가 합성되었음을 확인할 수 있었다. 본 고분자는 물을 포함한 DMF, DMSO, DMAc, 메탄올 등의 유기 용매에 완전히 용해하였다. 합성 고분자의 전기화학적 특성과 광발광 특성을 측정하고 분석하였다.

아고산(sub-alpine)지역의 환경은 척박하고 서식처가 좁지만, 지구환경변화로 인한 북방계 식물의 피난처(refugia)로써 중요한 생태학적 가치를 가지는 지역이다. 한편 황병산(1,407m)은 백두대간보호구역으로 지역적·생태적 가치가 높은 지역이다. 현재 황병산 일대의 목장 및 관광객 유입으로 인하여 산지의 일부가 교란 되고 있어 보전대책 마련이 필요하다. 따라서 본 연구의 목적은 황병산 일대 보전 및 관리방안 마련을 위한 기초자료를 확립하는데 있다. 황병산 일대 해발 1,000m 이상의 지역을 대상으로 총 24개소의 원형방형구를 설치하여 임분조사를 실시하였다. 군집의 유형은 신갈나무-분비나무(군집 1), 신갈나무(군집 2), 분비나무(군집 3)로 분류되었다. 중요치 분석 결과 군집 1은 신갈나무(21.4), 분비나무(19.1), 당단풍나 무(8.2), 피나무(6.0) 등의 순으로 나타났으며, 군집 2 신갈나무(34.9), 분비나무(17.7), 피나무(10.2), 사스래나무(7.2) 등 그리고 군집 3은 분비나무 (40.0), 신갈나무(11.9), 당단풍나무(6.4), 피나무(6.4) 등의 순으로 나타났다. 황병산 분비나무림은 각 임상에 따른 모자이크형 패치형태의 군집구조로 나타나 향후 혼효임분의 동태를 파악하고, 각 우점 군집의 보전을 위하여 버퍼구역을 통한 보전대책 마련이 필요하다.

The present study is aimed to calculate the optimal damping according to the seismic load on the structure with a non-seismic design to perform structure analysis considering the deformation of structural joint connection and panel zone; to develop design program equipped with structural stability of the steel frame structures reinforced with the panel zone and viscous dampers, using the results of the analysis, in order to systematically integrate the seismic reinforcement of the non-seismic structures and the analysis and design of steel frame structures. The study results are as follows: When considering the deformation of the panel zone, the deformation has been reduced up to thickness of the panel double plate below twice the flange thickness, which indicates the effect of the double plate thickness on the panel zone, but the deformation showed uniform convergence when the ration is more than twice. The SMRPF system that was applied to this study determines the damping force and displacement by considering the panel zone to the joint connection and calculating the shear each floor for the seismic load at the same time. The result indicates that the competence of the damper is predictable that can secure seismic performance for the structures with non-seismic design without changing the cross-section of the members.

Recently, deep learning that is the most popular and effective class of machine learning algorithms is widely applied to various industrial areas. A number of research on various topics about structural engineering was performed by using artificial neural networks, such as structural design optimization, vibration control and system identification etc. When nonlinear semi-active structural control devices are applied to building structure, a lot of computational effort is required to predict dynamic structural responses of finite element method (FEM) model for development of control algorithm. To solve this problem, an artificial neural network model was developed in this study. Among various deep learning algorithms, a recurrent neural network (RNN) was used to make the time history response prediction model. An RNN can retain state from one iteration to the next by using its own output as input for the next step. An eleven-story building structure with semi-active tuned mass damper (TMD) was used as an example structure. The semi-active TMD was composed of magnetorheological damper. Five historical earthquakes and five artificial ground motions were used as ground excitations for training of an RNN model. Another artificial ground motion that was not used for training was used for verification of the developed RNN model. Parametric studies on various hyper-parameters including number of hidden layers, sequence length, number of LSTM cells, etc. After appropriate training iteration of the RNN model with proper hyper-parameters, the RNN model for prediction of seismic responses of the building structure with semi-active TMD was developed. The developed RNN model can effectively provide very accurate seismic responses compared to the FEM model.

U-flanged truss beam is composed of u-shaped upper steel flange, lower steel plate of 8mm or more thickness, and connecting lattice bars. Upper flange and lower plate are connected by the diagonal lattice bars welded on the upper and lower sides. In this study, the details of delayed buckling of lattice members were developed through reinforcement of the end section, in order to improve structural capacity of U-flanged Truss Steel Beam. To verify the effects of these details, the simple beam experiment was conducted. The maximum capacity of all the specimens were determined by the buckling of the lattice. The vertical reinforced details of the ends with steel plates, rather than the details reinforced with steel bars, are confirmed to be a valid method for enhancing the structural capacity of the U-flanged Truss beam. In addition, U-flanged Truss Steel Beam with reinforced endings with steel plates can exhibit sufficient capacity of the lattice buckling by the formulae according to Korean Building Code (KBC, 2016) and Eurocode 3.

In this paper, we investigated the effect of the passivation stack with Al2O3, hydrogenated silicon nitride (SiNx:H) stack and Al2O3, silicon oxynitride (SiONx) stack in the n type bifacial solar cell on monocrystalline silicon. SiNx:H and SiONx films were deposited by plasma enhanced chemical vapor deposition on the Al2O3 thin film deposited by thermal atomic layer deposition. We focus on passivation properties of the two stack structure after laser ablation process in order to improve bifaciality of the cell. Our results showed SiNx:H with Al2O3 stack is 10 mV higher in implied open circuit voltage and 60 μs higher in minority carrier lifetime than SiONx with Al2O3 stack at Ni silicide formation temperature for 1.8% open area ratio. This can be explained by hydrogen passivation at the Al2O3/Si interface and Al2O3 layer of laser damaged area during annealing.

We prepare ZnO nanoparticles by environmentally friendly synthesis using Cyathea nilgiriensis leaf extract. Various phytochemical constituents are identified through the assessment of ethanolic extract of plant Cyathea nilgiriensis holttum by GC-MS analysis. The formation of ZnO nanoparticles is confirmed by FT-IR, XRD, SEM-EDX, TEM, SAED and PSA analysis. TEM observation reveals that the biosynthesized ZnO nanopowder has a hexagonal structure. The calculated average crystallite size from the high intense plane of (1 0 1) is 29.11 nm. The particle size, determined by TEM analysis, is in good agreement with that obtained by XRD analysis. We confirm the formation of biomolecules in plant extract by FT-IR analysis and propose a possible formation mechanism of ZnO nanoparticles. Disc diffusion method is used for the analyses of antimicrobial activity of ZnO nanoparticles. The synthesized ZnO nanoparticles exhibit antimicrobial effect in disc diffusion experiments. The biosynthesized ZnO nanoparticles display good antibacterial performance against B. subtilis (Gram-positive bacteria) and K. pneumonia (Gram-negative bacteria). Bio-synthesized nanoparticles using green method are found to possess good antimicrobial performance.