• 한국마이크로전자및패키징학회:학술대회논문집
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• 한국마이크로전자및패키징학회 2002년도 춘계 기술심포지움 논문집
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• pp.104-108
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• 2002

This paper was investigated the lead free solder characteristics by P mass percentage chang e. Tension test, wetting balance test, spread test, and analysis of intermetallic compound after isothermal aging of Sn-2.5Ag-0.7Cu-0.005P, Sn-2.5Ag-0.7Cu-0.01P, Sn-2.5Ag-0.7Cu-0.02P, Sn-0.7Cu-0.005P were performed for estimation. By adding P on the solder alloys, it was showe d improvement of tensile strength, reduction of intermetallic compound growth and reduction of oxidization of fusible solder under wave soldering processes. After comparing solder alloy containing P with tin lead eutectic solder alloy, p containing solder alloys showed much better solderability than eutectic solder alloys.

• 한국군사과학기술학회지
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• 제20권4호
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• pp.520-527
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• 2017

In this study, the experimental methods are compared for obtaining the parameters of the Johnson-Cook constitutive model. The parameters used for numerical simulation are very important in making an accurate estimation of numerical simulation. So, the testing method of obtaining the parameters is also very important. We compared the difference of conventional method, compression method and tensile method of AISI-4340 steel at various strain rate by using MTS, SHPB and SHTB. Taylor impact test and M&S were carried out to compare differences among these three types of JC constitutive parameter.

• 한국컴퓨터정보학회논문지
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• 제23권11호
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• pp.43-49
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• 2018

In this paper, we propose a displacement measurement method based on deep learning using image data obtained from tensile tests of a material specimen. We focus on the fact that the sequential images during the tension are generated and the displacement of the specimen is represented in the image data. So, we designed sample generation model which makes sequential images of specimen. The behavior of generated images are similar to the real specimen images under tensile force. Using generated images, we trained and validated our model. In the deep neural network, sequential images are assigned to a multi-channel input to train the network. The multi-channel images are composed of sequential images obtained along the time domain. As a result, the neural network learns the temporal information as the images express the correlation with each other along the time domain. In order to verify the proposed method, we conducted experiments by comparing the deformation measuring performance of the neural network changing the displacement range of images.

• Coupled systems mechanics
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• 제12권5호
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• pp.419-428
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• 2023

We have developed a model for estimating the parameters of viscous materials from indirect tensile tests for asphalt. This is a simple Burger nonlinear rheological two-cell model or standard model. At the same time, we begin to develop a more versatile and complex multi-cell model. The simple model is validated using experimental load-displacement results from laboratory tests: The recorded displacements are used as input values and the measured force data are simulated with the model. The optimal model parameters are estimated using the Levenberg-Marquardt method and a very good agreement between the experimental results and the model calculations is shown. However, not all parts of the model are active in the loading phase of the experiment, so we extended the validation of the model to the simulation of the relaxation behaviour. In this stage, the other model parameters are activated and the simulation results are consistent with the literature. At this stage, we have estimated the parameters only for the two-cell uniaxial model, but further work will include results for the multi-cell model.

• 대한토목학회논문집
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• 제32권5A호
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• pp.289-297
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• 2012

본 연구는 부착식 PSC 텐던의 응력파 속도를 계측하여 텐던에 도입된 긴장응력을 추정 할 수 있는 실험식을 제안한다. 실용적 실험식의 도출을 위하여 도입 긴장력이 다른 다수의 PSC시험체가 제작되었으며, 다양한 조건에서 종진동 실험이 반복 수행되었다. 도입 응력과 응력파 속도 사이의 관계에 영향을 미칠 수 있는 온도, 길이 및 텐던의 개수 등이 영향인자로 고려되었으며, 상사의 법칙을 적용하여 무차원 실험식이 도출 되었다. 제안 기법의 현장 적용성 검증은 실제 발전소 격납건물에 설치된 수직텐던에 대하여 수행되었다. 제안식을 이용하여 추정된 긴장응력은 텐던의 설계응력과 유사하다.

• 한국방재학회 논문집
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• 제10권2호
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• pp.39-46
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• 2010

본 연구에서는 조골재, 세골재 및 시멘트량을 달리한 포장용 콘크리트 시편에 대한 강도시험을 통해 물성 정량화 모델식을 제시하였다. 관계식으로는 압축강도와 휨강도, 압축강도와 쪼갬인장강도, 압축강도와 탄성계수 그리고 휨강도와 쪼갬인장강도의 상관관계식을 제시하였다. 모델식에 사용된 데이터는 총 61~81개 조합으로서, 1개 조합에 사용된 시편은 3-4개이었다. 아울러 제시된 상관관계 모델식을 사용하여 고속도로 10개 현장과 국도 4개 현장의 LTPP 구간에서 얻은 코어시편의 탄성계수를 추정하는 절차를 제시하였다. 변동성을 감안하여 본 연구에서는 각 LTPP 구간을 대표하는 탄성계수로서 압축강도에서 탄성계수로 환산한 값과 코어 시편을 사용하여 스트레인게이지에 의해 측정된 탄성계수의 평균값을 사용함으로 인해 코어시편으로부터 발생될 수 있는 측정오차를 줄일 수 있는 방안을 제시하였다.

• 한국공간구조학회논문집
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• 제9권3호
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• pp.67-74
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• 2009

가진력의 영향을 평가하기 위해 이용되는 압전소자와 물체의 변형량을 분석하기 위해 사용되는 광섬유 센서와 변형 게이지는 각종 시험과 실험에 널리 사용되고 있다. 본 연구에서는 케이블 시스템에서 발생한 손상을 검토하기 위해 압전소자와 광섬유센서를 이용하였다. 케이블 시스템은 압축이나 휨이 발생하지 않고 막구조에서 단지 인장력을 분담한다. 그러나 기존의 안전진단법을 이용하여 케이블 시스템의 손상을 판단하는 것은 전체구조의 특이한 구조거동 등으로 검토하기 어렵다. 인장부재에서 케이블의 풀림과 할렬이 발생하면 진동을 유발하기 때문에 압전소자를 케이블의 손상을 검토하기 위해 이용하였으며, 이를 광섬유 센서를 이용한 실험의 결과와 비교하였다. 본 연구는 인장응력 하에 케이블 시스템의 손상을 검토하는 방법을 제안하기 위한 실험적 연구이다.

• 지구물리와물리탐사
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• 제21권3호
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• pp.162-170
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• 2018

본 연구는 전라북도 완주군 ${\bigcirc}{\bigcirc}$지역에서 발생한 대규모 땅밀림 산사태 지역에서 지구물리탐사(전기비저항 탐사, 굴절법 탄성파탐사) 기법을 활용하여 대규모 산지지반 변화를 파악하고 활동연약대를 추정하고자 수행 하였다. 또한 변성암 지역에서 발생한 땅밀림 산사태 특성을 파악하고, 대략적인 규모를 파악하였다. 표준관입시험으로 얻어진 N치와 전기비저항 탐사의 저비저항 이상대, 지표지질조사로 얻어진 인장균열 위치를 비교 분석한 결과, 지표하부 10 ~ 15 m 사이에 형성되어 있는 토사층에 존재하는 불연속면을 추정하였다. 이를 토대로 토사층의 불연속면과 연구결과로 얻어진 기반암의 추정선 사이의 활동연약대 분포를 확인하였다.

• Steel and Composite Structures
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• 제14권5호
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• pp.409-429
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• 2013

A composite box-girder with corrugated steel webs has been used in civil engineering practice as an alternative to the conventional pre-stressed concrete box-girder because of several advantages, such as high shear resistance without vertical stiffeners and an increase in the efficiency of pre-stressing due to the accordion effect. Many studies have been conducted on the shear buckling and flexural behavior of the composite box-girder with corrugated steel webs. However, the torsional behavior is not fully understood yet, and it needed to be investigated. Prior study of the torsion of the composite box-girder with corrugated steel webs has been developed by assuming that the concrete section is cracked prior to loading and doesn't have tensile resistance. This results in poor estimation of pre-cracking behaviors, such as initial stiffness. To overcome this disadvantage of the previous analytical model, an improved analytical model for torsion of the composite box-girder with corrugated steel webs was developed considering the concrete tension behavior in this study. Based on the proposed analytical model, a non-linear torsional analysis program for torsion of the composite box-girder with corrugated steel webs was developed and successfully verified by comparing with the results of the test. The proposed analytical model shows that the concrete tension behavior has significant effect on the initial torsional stiffness and cracking torsional moment. Finally, a simplified torsional moment-twist angle relationship of the composite box-girder with corrugated steel webs was proposed based on the proposed analytical model.

• Smart Structures and Systems
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• 제6권5_6호
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• pp.461-480
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• 2010

This paper analyses the data collected from the $2^{nd}$ Jindo Bridge, a cable-stayed bridge in Korea that is a structural health monitoring (SHM) international test bed for advanced wireless smart sensors network (WSSN) technology. The SHM system consists of a total of 70 wireless smart sensor nodes deployed underneath of the deck, on the pylons, and on the cables to capture the vibration of the bridge excited by traffic and environmental loadings. Analysis of the data is performed in both the time and frequency domains. Modal properties of the bridge are identified using the frequency domain decomposition and the stochastic subspace identification methods based on the output-only measurements, and the results are compared with those obtained from a detailed finite element model. Tension forces for the 10 instrumented stay cables are also estimated from the ambient acceleration data and compared both with those from the initial design and with those obtained during two previous regular inspections. The results of the data analyses demonstrate that the WSSN-based SHM system performs effectively for this cable-stayed bridge, giving direct access to the physical status of the bridge.