• Tunnel and Underground Space
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• v.20 no.6
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• pp.408-420
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• 2010

It is important to forecast the final deformation of a tunnel during construction for evaluating its mechanical stability. In this study, the final deformation of a tunnel is forecasted by fitting tunnel deformations measured while excavating to a displacement function and exterpolating it. The tunnel for the study was built in two stages divided into an upper and a lower part. During the lower part construction of the tunnel, the displacement function forecasts the final incremental displacement well compared to the increment measured after completion of the tunnel. It is because the critical initial displacement occurred on passing the measurement pins can be adequately measured during excavating the lower part, which can not be measured during the upper part excavation of the tunnel.

• Composites Research
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• v.30 no.5
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• pp.280-287
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• 2017

The complex deformation of the swept composite wing occurs due to the torsional load and bending load during the flight. Therefore, prediction for displacement of swept composite wing is required for structural health monitoring. Wing displacements can be predicted by using relationship between displacements and strains. The strain distributions on the fixed-end are complex due to the geometric shape of the swept wing. Because of those strain distribution, the wing displacement can be diversely predicted by the strain sensing locations. In this paper, displacements prediction of swept composite wing was performed by considering complex strain distributions. The predicted displacements under various loading condition were consistent with those calculated by FEA and verified through the bending test.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.2401-2403
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• 2000

시스템의 특성을 이해하고 신뢰성 있는 제어를 위해서는 시스템에 대한 정확한 모델을 필요로 한다. 이러한 목적을 위해서 많은 연구자들에 의한 다양한 방법의 모델링 방법이 계속되어 연구되어지고 있다. 현재 많이 사용하는 모델링 방법 중에는 통계적 기법을 이용하는 것, first principle 방법을 이용하는 것, 지능형 기법을 이용하는 방법 등이 있다. 본 연구에서는 통계적 방법인 fractional factorial 방법을 이용한 모델, Taguchi 방법을 이용한 모델, 그리고 지능형 방법인 신경회로망을 이용한 모델의 3가지 모델을 사용해서 각 모델의 학습오차와 예측오차 등의 특성을 비교하였다. 모델에 사용된 데이터는 비선형 시스템인 플라즈마 화학 증착 장비(Plasma-Enhnaced Chemical Vapor Deposition : PECVD)에 의해 증착된 산화막 실험 데이터이다. 각 모델에 대해서 PECVD 데이터를 사용하여 모델을 만들었을 때 각 모델의 학습오차와 학습오차 변위, 그리고 예측오차와 예측오차변위를 조사하였다. 세가지 모델 모두 학습오차가 예측오차보다 작았으며 변위 또한 학습오차변위가 예측오차변위보다 작았다. 본 연구 결과는 일반적으로 신경회로망에 의한 오차가 다른 통계적인 방법에 의한 오차보다 작음을 보여준다.

• The Journal of Engineering Geology
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• v.26 no.3
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• pp.403-411
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• 2016

A three-dimensional finite element analysis was conducted to analyze the predictable distances of a fault zone by using longitudinal displacement on tunnel face, trend line, L/C ratio, and C/C₀ ratio at tunnel crown. The analysis used 28 numerical models with various fault attitudes. As a result, those faults that have drives with dip could be predicted earliest in L/C and C/C₀ ratio analysis. And those faults that have drives against dip could be predicted earliest in L/C ratio and longitudinal displacement analysis. In addition, the fault zone ahead of tunnel was predicted in most models by using longitudinal displacement, trend line, L/C ratio, and C/C₀ ratio. However, the longitudinal displacement among these methods may be most usefully predict a fault zone since it is displacements can be measured immediately after tunnel excavation.

• Tunnel and Underground Space
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• v.22 no.3
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• pp.214-220
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• 2012

Deformation behaviour of rock mass around an opening measured during tunnel excavation is very important in order to assess the stability of the tunnel. Unfortunately displacement measured only after the installation of displacement measuring device can be acquired, which results in inevitably excluding the pre-displacement occurred and accumulated before the displacement measuring devices are installed. So it is very important to consider the pre-displacement based on the elapsed time before zero reading after deformation behaviour started. In this study, the accuracy of total estimated displacement depending on the distance between face and measurement position is calculated by statistical non-linear fitting on measurable displacement data. Besides, the influence of the unavoidable measurement error is considered by using Monte-Carlo simulation. As a result, the faster the initial reading started and the smaller the measurement error is, the higher the accuracy of estimating total displacement is obtained.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2017.06a
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• pp.186-187
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• 2017

스테레오 정합은 촬영된 스테레오 영상 속 화소들의 대응점을 탐색한 후 대응점 사이의 변위차를 계산하여 깊이정보를 예측한다. 스테레오 정합에서 변위값을 계산하기 위해서는 스테레오 영상간의 대응점 탐색이 우선적으로 수행되어야 한다. 스테레오 영상의 변위값 범위를 모르는 경우 동일한 탐색선상에 있는 모든 화소들의 유사도를 비교한 후 최적의 대응점을 선택한다. 반면에, 변위값 범위가 제공되는 실험 영상으로 스테레오 정합을 할 경우 정해진 후보 화소들에 대해서만 대응점 탐색을 수행한다. 많은 스테레오 정합 논문들이 실험의 효율성을 위해 변위값 범위 정보가 제공되는 실험 영상으로 스테레오 정합을 수행한다. 하지만 실제 스테레오 정합 환경에서는 이와 같은 정보를 얻기가 힘들다. 이러한 문제점을 극복하기 위해 본 논문에서는 움직임 예측 및 주변화소의 변위정보를 이용한 고속 스테레오 정합 방법을 제안한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.4
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• pp.920-926
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• 2014

In this study, we applieorithmd the inverse analysis alg to the prediction of displacement shape in the example construction and verified the feasibility of suggested algorithm. For this purpose, as information processing knowledge in the field of IT is required and the need for convergence with the major is emerged, it is intended to try to apply the algorithm to the construction sector. Prediction of displacement shape is very important since it is related to the earth pressure of slurry wall and effecting on the safety of slurry wall after anchor removal. 3 levels of inverse analysis were applied to the slurry walls in 3 sites and compared the measured displacement shape with predicted displacement shape of the last excavation construction. As the predicted displacement shape was matched well with the measured one, the applied analysis algorithm in this study can be applied to the excavation construction.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.44 no.1
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• pp.1-11
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• 2016

The information about the deformations of high-aspect-ratio wings is needed for the real-time monitoring of structural responses. Wing deformation in flight can be predicted by using relationship between the curvatures and the strains on the wing skin. It is also necessary to consider geometric nonlinearity when the large deformation of wing is occurred. The strain distribution on fixed-end is complex in the chordwise direction because of the geometric shape of fixed-wings on fuselages. Hence, the wing displacement can be diversely predicted by the location of the strain sensing lines in the chordwise direction. We conducted a study about prediction method of displacements regardless of the chordwise strain sensing locations. To correct spanwise strains, the ratio of spanwise strain to chordwise strain, Poisson's ratio, and the ratio of the plate strain to the beam strain were used. The predicted displacements using the strain correction were consistent with those calculated by the FEA and verified through the bending testing.

• Computational Structural Engineering
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• v.3 no.3
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• pp.20-24
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• 1990

현재까지의 철근콘크리트(R/C)부재의 이력거동을 예측하기 위한 이론적 연구는 대부분이 휨 변위량이 전체 변위량을 지배한다는 가정하에 휨 해석을 행하고 있다. 그러나 지진과 같은 탄성한계를 벗어난 강한 동적반복하중을 받는 경우 철근 콘크리트 부재의 변위량은 휨 변위량 뿐만 아니라 전단 변위량 및 부재연결부에서의 회전 변위량에 의해 지배됨이 많은 연구를 통해 밝혀졌다. 전단이력거동은 강성과 강도저하가 심하게 나타나고 낮은 에너지 발산능력을 갖는 특징에 의해 휨 이력거동과는 구별되며 반복하중이 계속되면 강성이 저하되는 경향때문에 전단변형이 R/C부재의 거동을 지배하게 된다. 이러한 부재거동의 특징에 견주어 볼 때 현재 사용되고 있는 해석모델을 이용하여 동적응답을 예측하고, 해석하여 설계된 기존의 R/C부재는 강한 동적하중을 받을 경우 해석적으로는 전혀 예측치 못하게 되는 결과를 초래하게 된다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.43 no.5
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• pp.396-404
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• 2015

The UAV's wing has high aspect ratio that is suitable for the high altitude and long endurance. Knowing the real-time deformation of wing structure in flight, it can be utilized in structural health and loading status monitoring, improvement of control effectiveness and extraordinary vibration phenomena using displacement-strain relationship. In this paper, nonlinear displacement prediction algorithm was developed for prediction of large structural deflection in flight. The algorithm was validated through the comparison with finite element analysis results and also experimental results for several large tip displacements of cantilever beam. The predicted displacements using strains are agreed well with the measured values from laser displacement sensor.