• Journal of the Korean Geotechnical Society
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• v.38 no.11
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• pp.31-42
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• 2022

This study verified numerical analysis of the liquefaction phenomenon using LEAP-2017 international round-robin centrifuge test results. Dynamic centrifuge test is performed by applying a 1 Hz tapered sine wave to the model soil deposit, which was formed under a water table in a surface slope of 5° using Ottawa F-65 sand. A numerical model was made on a prototype scale and analyzed using the finite difference method in 2D and 3D conditions. The analyses were verified for acceleration and pore-water pressure histories with depth and residual displacement. Verification results revealed that all numerical liquefaction models agree reasonably with the test result for acceleration histories but not for pre-water pressure histories. Numerical analyses showed much smaller residual displacement than the centrifuge test. Thus, it is necessary to compare the results of numerical analysis with the centrifuge test performed by other institutes in the future.

• Aerospace Engineering and Technology
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• v.11 no.1
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• pp.118-125
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• 2012

The purpose of this study is to analyze the ortho image quality change according to the generation technique of Digital Elevation Model(DEM) based on the digital map. First of all, two different types of DEM were generated using contour layer(Case1), contour layer and altitude layer(Case2) from the digital map on the scale of 1/5,000. After generating and evaluating two types of DEM, KOMPSAT-2 ortho images were generated by using them. In conclusion, Case2 DEM was more effective to use in the slope and switchback area, on the other hand, Case1 DEM was much better than Case2 DEM for preventing a topographic distortion in flat area.

• Journal of the Korean earth science society
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• v.42 no.5
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• pp.504-513
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• 2021

Different physical processes, according to the atmospheric boundary layer types, were used in the Local Data Assimilation and Prediction System (LDAPS) of the Unified Model (UM) used by the Korea Meteorological Administration (KMA). Therefore, it is important to verify the atmospheric boundary layer types in the numerical model to improve the accuracy of the models performance. In this study, the atmospheric boundary layer types were verified using observational data. To classify the atmospheric boundary layer types, summer intensive observation data from radiosonde, flux observation instruments, Doppler wind Light Detection and Ranging(LIDAR) and ceilometer were used. A total number of 201 observation data points were analyzed over the course 61 days from June 18 to August 17, 2019. The most frequent types of differences between LDAPS and observed data were type 1 in LDAPS and type 2 in observed(each 53 times). And type 3 difference was observed in LDAPS and type 5 and 6 were observed 24 and 15 times, respectively. It was because of the simulation performance of the Cloud Physics such as that associated with the simulation of decoupled stratocumulus and cumulus cloud. Therefore, to improve the numerical model, cloud physics aspects should be considered in the atmospheric boundary layer type classification.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.484-484
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• 2023

지진해일은 해저지진, 화산활동, 해저 산사태 등에 의해 발생되는 장주기 파랑이다. 지진해일은 발생빈도가 낮지만, 한번 발생하면 많은 에너지가 연안으로 유입되어 인명 및 재산피해를 야기 시킬 수 있다. 따라서, 과거 수십년동안 지진해일에 대한 연구는 지진해일의 역학관계를 이해하고, 이를 바탕으로 한 수치모델 개발에 초점을 두어 연구가 진행되어 왔다. 더욱이, 지진해일 실험적 연구는 많은 경제적 비용을 지불해야 하기에 수치모델개발 연구가 더욱 중점적으로 수행되어 왔다. 지리학적으로 우리나라는 지진해일에 안전하지 못하다. 하나의 예로, 1983년 5월 26일, 일본 서해안에서 발생한 지진해일은 동해로 전파되어 동해안 지역에 커다란 피해를 야기시켰다. 이 당시, 강원도삼척시 원덕읍에 위치한 임원항에서는 2명의 사상자와 2명의 부상자가 발생하였고, 당시 금액으로 약3억원의 재산피해가 발생하였다. 이 연구는 인공지능 기법 중 하나인 인공신경망을 이용하여 인명과 재산피해가 발생한 임원항에서 최대지진해일고를 예측하고자 하였다. 지진해일 수치모델은 뛰어난 정확도를 나타내는 반면, 결과를 산출하는데 상당한 시간을 필요로 한다. 이에 반해, 인공신경망은 수치모델과 유사한 정확도 및 결과를 신속하게 제공할 수 있다는 장점을 가지고 있다. 지진해일 인공신경망 모델 개발은 지진의 단층파라미터를 바탕으로 작성된 지진해일의 시나리오를 토대로 연구가 진행되었고, 우리나라 동해에 위치한 외해 관측 지점의 지진해일고 자료를 통해, 임원항에서의 최대 지진해일고가 예측되도록 개발되었다. 이를 위하여, 인공신경망의 학습 및 검증 과정을 수행하였고, 향후 발생 가능한 다양한 지진해일에 대해 평가함으로써, 인공신경망 모델의 예측성능을 확인하였다.

• Journal of the Earthquake Engineering Society of Korea
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• v.12 no.6
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• pp.13-23
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• 2008

In this study, a finite element (FE) model updating method based on the hybrid genetic algorithm (HGA) is proposed to improve the grillage FE model for plate girder bridges. HGA consists of a genetic algorithm (GA) and direct search method (DS) based on a modification of Nelder & Mead's simplex optimization method (NMS). Fitness functions based on natural frequencies, mode shapes, and static deflections making use of the measurements and analytical results are also presented to apply in the proposed method. In addition, a multi-objective function has been formulated as a linear combination of fitness functions in order to simultaneously improve both stiffness and mass. The applicability of the proposed method to girder bridge structures has been verified through a numerical example on a two-span continuous grillage FE model, as well as through an experimental test on a simply supported plate girder skew bridge. In addition, the effect of measuring error is considered as random noise, and its effect is investigated by numerical simulation. Through numerical and experimental verification, it has been proven that the proposed method is feasible and effective for FE model updating on plate girder bridges.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.3
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• pp.859-871
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• 2014

In order to analyze the density current due to salt and temperature difference, this study develops new numerical model (LES-WASS-3D ver. 2.0) by introducing state equation for salt and temperature and 3D advection-diffusion equation to existing 3D numerical wave tank (LES-WASS-3D ver. 1.0). To verify the applicability, the newly-developed numerical model is analyzed comparing to the experimental result of existing numerical model. In the result, it well implement the behavior and vertical salt concentration of advected and diffused seawater as well as flow velocity and temperature of the discharged warm water. This confirms the validity and effectiveness of the developed numerical model.

• Fire Science and Engineering
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• v.26 no.1
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• pp.31-37
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• 2012

This study is intended to present a computational thermal model for a residential building. As the Performance Based Design is more popular, fire-intensity and fire-load have turned out to be very important factors for building design and can be predicted through some computational work. To predict and estimate the fire properties of a residential fire, we made some numerical models of combustibles and residential building. In a bid to validate the estimate values, computational analysis results from numerical models were compared with real fire tests. For computational analysis, the Fire Dynamics Simulator (FDS) was used with Large Eddy Simulation (LES) model for turbulence. Consequently, fire-intensity was well predicted and flash-over of rooms were successfully estimated.

• Tunnel and Underground Space
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• v.30 no.4
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• pp.271-305
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• 2020

An effect of coupled thermo-hydro-mechanical and chemical (THMC) behavior is an essential part of the performance and safety assessment of geological disposal systems for high-level radioactive waste and spent nuclear fuel. Furthermore, numerical models and modeling techniques are necessary to analyze and predict the coupled THMC behavior in the disposal systems. However, phenomena associated with the coupled THMC behavior are nonlinear, and the constitutive relationships between them are not well known. Therefore, it is challenging to develop numerical models and modeling techniques to analyze and predict the coupled THMC behavior in the geological disposal systems. It is also difficult to verify and validate the development of the models and techniques because it requires expensive laboratory tests and in-situ experiments that need to be performed for a long time. DECOVALEX was initiated in 1992 to efficiently develop numerical models and modeling techniques and validate the developed models and techniques against the lab and in-situ experiments. In Korea, Korea Atomic Energy Research Institute has participated in DECOVALEX-2011, DECOVALEX-2015, and DECOVALEX-2019 since 2008. In this study, all tasks in the three DECOVALEX projects were introduced to the researcher in the field of rock mechanics and geotechnical engineering in Korea.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.23 no.3
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• pp.248-257
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• 2011

In the present study, we proposed a new numerical wave tank model to analyze the vertical tension-leg circular floating bodies, using a 2-D Navier-Stokes solver. An IBM(Immersed Boundary Method) capable of handling interactions between waves and moving structures with complex geometry on a standard regular Cartesian grid system is coupled to the VOF(Volume of Fluid) method for tracking the free surface. Present numerical results for the motions of the floating body were compared with existing experimental data as well as numerical results based on FAVOR(Fractional Area Volume Obstacle Representation) algorithm. For detailed examinations of the present model, the additional hydraulic experiments for floating motions and free surface transformations were conducted. Further, the versatility of the proposed numerical model was verified via the numerical and physical experiments for the general rectangular floating bodies. Numerical results were compared with experiments and good agreement was archived.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.530-531
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• 2023

딥러닝에서 지식 증류 기법은 큰 모델의 지식을 작은 모델로 전달하여 작은 모델의 성능을 개선하는 방식이다. 지식 증류 기법은 모델 경량화, 학습 속도 향상, 학습 정확도 향상 등에 활용될 수 있는데, 교사 모델이라 불리는 큰 모델은 일반적으로 학습된 딥러닝 모델을 사용한다. 본 연구에서는 학습된 딥러닝 모델 대신에 수치 기반 시뮬레이션 모델을 사용함으로써 어떠한 효과가 있는지 검증하였으며, 수치 모델을 활용한 기상 예측 모델에서의 지식 증류는 기존 단독 딥러닝 모델 학습 대비 더 작은 학습 횟수(epoch)에서도 동일한 에러 수준(RMSE)까지 도달하여, 학습 속도 측면에서 이득이 있음을 확인하였다.