이 연구에서는 입력변수의 확률분포로부터 비선형 구조응답의 확률분포 추정방법을 제안한다. 응답함수를 확률변수들의 평균점과 응답의 꼬리부분 상위 0.01%값에 기여하는 확률변수조합에서 각각 1차 테일러급수로 근사한다. 두 응답함수에 대해 모멘트법을 적용한 후 이를 가우시안 분포로 추정한다. 추정된 두 분포를 결합하기 위해 연결함수를 도입하고, 분포의 연속조건을 적용하여 연결함수의 미정계수를 결정한다. 제안된 방법을 케이블 교량 예제에 적용하고, 카이제곱 검증을 이용하여 추정된 분포의 적합성을 확인한다. 기존의 모멘트법과 제안된 방법의 결과를 비교, 분석한다.

Considering the situation in the early 20th century when the existing urban system centered on urban areas began to change, the biggest factors causing urban structural changes in urban areas are construction of railroad and urban dismantling. The change process of Eupseong, in the microscopic viewpoint, can be understood as a process of change in the course of dismantlement of town's demarcation, improvement of accessibility and urban expansion due to the construction of railroads, process of urban expansion following the crumbling boundaries and structural changes. This study aimed to look at the transformation process of the Eupseong in the early 20th century, focusing on the demolition of the castle and the railway construction from a microscopic point of view of city.

스페이스 하우스는 강재 프레임에 FRP와 우레탄 폼을 결합한 합성패널로 구성된 단위모듈방식의 프리캐스트화한 구조물이다. 이 연구는 모듈러 건축물의 한 종류인 스페이스 하우스의 설계와 구조적 거동을 예측하였다. 스페이스 하우스의 하중 저항은 대부분 강재 프레임에서 발생하기 때문에 직육면체 형태의 강재 프레임 구조물에 수직보강재를 보강하여 제작하였다. 또한, 구조물의 안전성을 확보할 수 있도록 구조 검토와 유한요소해석을 통해 구조물의 사용성과 안전성을 확인하였다.

본 연구에서는 적층된 중앙개구부를 갖는 CNTFPC 복합재 판에 대하여 기하학적 비선형 동적 해석을 수행하였다. Hewitt and Malherbe 멀티스케일 모델을 기반으로 MWCNT의 함유 비율과 중앙개구부의 크기 변화에 따른 영향을 분석하였다. 1차전단변형 판이론에 근거하여, Newmark 방법과 Newton-Raphson 반복기법이 비선형 동적해석을 위하여 적용되었다. 본 연구에서 제안한 방법은 기존 문헌으로부터 도출 결과와 비교 검증하였다. 수치해석 예제는 MWCNT의 적절한 함유량 및 적층된 CNTFPC 구조의 구조성능의 향상시킬 수 있는 상호 관계를 상세 규명하였다.

PURPOSES : Recently, there has been an increase in the use of discrete randomly distributed fiber materials for reinforcing pavement foundations. However, very limited study has been made on this from the perspective of pavement engineering. Therefore, this study evaluates the performance of soil-geofibers used in pavement foundations as well as the effects of stress dependency with various mixtures. METHODS: To estimate the behavior of soil-geofiber mixtures under traffic loadings, laboratory resilient modulus data for the mechanical characteristics of geofiber mixtures were used, and they were adopted to evaluate the structural response and analyze the stress dependency through 2-D finite element analysis. As the host materials, poorly graded and uniformly graded sand were selected, and each soil was mixed with three different types of fiber, namely monofilament, fibrillated, and tape. RESULTS: The stress dependent response on resilient modulus and Poisson’s ratio were mainly considered by conducting linear and nonlinear elastic analyses on various geofiber mixtures. As a result, it was found that the response and yield function of geofiber mixed layers in pavements were affected considerably depending on the gradation of the soils and the confinement conditions. A small change was found when the particle size was homogenized. CONCLUSIONS : From this, it can be concluded that the finite element model with stress dependency is suitable for estimating the performance on geofiber mixtures. It is also noted that all the responses of geofiber mixtures were relatively sensitive to the gradation of host soils. This indicates that the effects of the nonlinearity and stress-dependency of geofiber mixtures under repetitive loadings could be substantial.

콘크리트로 채워진 강관기둥은 많은 구조 시스템에서 기둥으로 널리 사용되며 강재가 항복하고 구속효과가 감소하여 국부 좌굴이 발생한다. 이러한 단점을 극복하기 위해 FRP를 보강하여 국부 좌굴을 지연시키는 방법을 제안한다. 이 논문은 반복 압축하에서 FRP로 보강된 CFT의 압축성능에 관한 것이다. 두 가지 유형의 FRP (Aramid FRP, SRF Polyester Belt)가 다양한 보강두께와 겹수로 CFT 외부에서 보강하여 비교 분석된다. 또한, CFRP에서 제안 및 사용된 공식에 기초하여 시험 기관의 실험 값을 평가하고 그것이 사용될 수 있는지를 결정할 것이다.

We report on the fabrication and characterization of an oxide photoanode with a zinc oxide (ZnO) nanorod array embedded in cuprous oxide (Cu2O) thin film, namely a ZnO/Cu2O oxide p-n heterostructure photoanode, for enhanced efficiency of visible light driven photoelectrochemical (PEC) water splitting. A vertically oriented n-type ZnO nanorod array is first prepared on an indium-tin-oxide-coated glass substrate via a seed-mediated hydrothermal synthesis method and then a p-type Cu2O thin film is directly electrodeposited onto the vertically oriented ZnO nanorod array to form an oxide p-n heterostructure. The introduction of Cu2O layer produces a noticeable enhancement in the visible light absorption. From the observed PEC current density versus voltage (J-V) behavior under visible light illumination, the photoconversion efficiency of this ZnO/Cu2O p-n heterostructure photoanode is found to reach 0.39 %, which is seven times that of a pristine ZnO nanorod photoanode. In particular, a significant PEC performance is observed even at an applied bias of 0 V vs Hg/Hg2Cl2, which makes the device self-powered. The observed improvement in the PEC performance is attributed to some synergistic effect of the pn bilayer heterostructure on the formation of a built-in potential including the light absorption and separation processes of photoinduced charge carriers, which provides a new avenue for preparing efficient photoanodes for PEC water splitting.

In this paper, the shape adjustment algorithm of the spoked wheel cable structures with retractable membrane system is studied. The initial tension of the membrane or cable is necessary to form the structure and its value is determined by the design shape. However, due to internal and external environmental influences, its shape may be different from the initial designed shape. In the case of the cable structures covered in this study, tension adjustment is necessary to maintain the designed shape because it influences the tension of the cable depending on the state of the retractable membrane. Therefore, we proposed an adjustment algorithm of an initial shape based on the force method. The effectiveness and validity of the methodology were examined through the applicable cable structures. The results of the shape adjustment analysis of the symmetric spoked wheel cable model were reliable and accurate results were obtained.

There has been considerable recent interest in deep learning techniques for structural analysis and design. However, despite newer algorithms and more precise methods have been developed in the field of computer science, the recent effective deep learning techniques have not been applied to the damage detection topics. In this study, we have explored the structural damage detection method of truss structures using the state-of-the-art deep learning techniques. The deep neural networks are used to train knowledge of the patterns in the response of the undamaged and the damaged structures. A 31-bar planar truss are considered to show the capabilities of the deep learning techniques for identifying the single or multiple-structural damage. The frequency responses and the elasticity moduli of individual elements are used as input and output datasets, respectively. In all considered cases, the neural network can assess damage conditions with very good accuracy.

In order to increase the seismic safety of nuclear power plant (NPP) structures, a technique to reduce the seismic load transmitted to the NPP structure by using a seismic isolation device such as a lead-rubber bearing has recently been actively researched. In seismic design of NPP structures, three directional (two horizontal and one vertical directions) artificial synthetic earthquakes (G0 group) corresponding to the standard design spectrum are generally used. In this study, seismic analysis was performed by using three directional artificial synthetic earthquakes (M0 group) corresponding to the maximum-minimum spectrum reflecting uncertainty of incident direction of earthquake load. The design basis earthquake (DBE) and the beyond design basis earthquakes (BDBEs are equal to 150%, 167%, and 200% DBE) of G0 and M0 earthquake groups were respectively generated for 30 sets and used for the seismic analysis. The purpose of this study is to compare seismic responses and seismic fragility curves of seismically isolated NPP structures subjected to DBE and BDBE. From the seismic fragility curves, the probability of failure of the seismic isolation system when the peak ground acceleration (PGA) is 0.5 g is about 5% for the M0 earthquake group and about 3% for the G0 earthquake group.