• Coupled systems mechanics
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• 제7권2호
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• pp.211-232
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• 2018

In this work we present an upscaling technique for multi-scale computations based on a stochastic model calibration technique. We consider a coarse-scale continuum material model described in the framework of generalized standard materials. The model parameters are considered uncertain, and are determined in a Bayesian framework for the given fine scale data in a form of stored energy and dissipation potential. The proposed stochastic upscaling approach is independent w.r.t. the choice of models on coarse and fine scales. Simple numerical examples are shown to demonstrate the ability of the proposed approach to calibrate coarse scale elastic and inelastic material parameters.

• Structural Engineering and Mechanics
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• 제41권4호
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• pp.559-573
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• 2012

An adaptive modeling and simulation technique is introduced for the effective and reliable fluid-structure interaction analysis using MSC/Dytran for large-scale complex pressurized liquid containment. The proposed method is composed of a series of the global rigid sloshing analysis and the locally detailed fluid-structure analysis. The critical time at which the system exhibits the severe liquid sloshing response is sought through the former analysis, while the fluid-structure interaction in the local region of interest at the critical time is analyzed by the latter analysis. Differing from the global coarse model, the local fine model considers not only the complex geometry and flexibility of structure but the effect of internal pressure. The locally detailed FSI problem is solved in terms of multi-material volume fractions and the flow and pressure fields obtained by the global analysis at the critical time are specified as the initial conditions. An in-house program for mapping the global analysis results onto the fine-scale local FSI model is developed. The validity and effectiveness of the proposed method are verified through an illustrative numerical experiment.

• 대한원격탐사학회지
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• 제37권3호
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• pp.475-491
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• 2021

최근 사용 가능한 고해상도 위성 SAR 영상이 다양해지면서, 변화 탐지를 포함한 다양한 분야에서 SAR 영상에 대한 정밀 정합 요구가 높아지고 있다. 다중 관측각 환경에서의 고해상도 SAR 영상간 정합은 SAR 영상의 특성상 발생하는 스펙클 노이즈, 기하 왜곡 등에 의해 어려움이 있다. 본 연구에서는 독일 TerraSAR-X의 staring spotlight 모드로 촬영된 고해상도 SAR 영상을 활용하여, 개략정합 단계와 정밀정합 단계의 2단계에 걸친 영상정합 알고리즘을 제안하였다. 개략정합 단계에서는 적응형 샘플링 기법과 SAR-SIFT(Scale Invariant Feature Transform)를 결합하여 정합을 수행하였고, 정밀정합 단계에서는 3가지의 강성 정합 기법인 NCC(Normalized Cross Correlation), PC (Phase Congruency)-NCC, MI (Mutual Information) 기법과 비강성 정합 기법인 Gefolki (Geoscience extended Flow Optical Flow Lucas-Kanade Iterative)를 적용하여 정합 성능을 비교 분석하였다. 정합 결과는 RMSE (Root Mean Square Error)와 FSIM (Feature Similarity) 지수를 사용하여 정량적인 비교를 수행하였다. 사용한 모든 영상 조합에서 강성정합 기법은 Gefolki 알고리즘에 비해 저조한 정합 성능을 보였다. 강성정합 모델들은 지형기복이 큰 지역에서 정합오차가 크게 발생함을 확인할 수 있었다. Gefolki 알고리즘 적용 결과, RMSE 1~3화소를 보이며 가장 우수한 결과를 확인하였으며, FSIM 지수 또한 다른 기법에 비해 0.02~0.03 이상 높은 값을 취득했다. 다중 관측각 영상에서의 고해상도 SAR 영상 간 정합 성능을 비교하였으며, 강성정합 기법에 비해 Gefolki 알고리즘을 통해 지형효과를 충분히 줄일 수 있음을 확인했다. 이는 추후 변화탐지를 포함한 다양한 분야의 전 처리 과정에 효과적으로 사용될 수 있을 것으로 기대된다.

• Computers and Concrete
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• 제21권4호
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• pp.463-470
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• 2018

In the present study, soft computing i.e., machine learning techniques and regression models algorithms have earned much importance for the prediction of the various parameters in different fields of science and engineering. This paper depicts that how regression models can be implemented for the prediction of compressive strength of concrete. Three models are taken into consideration for this; they are Gaussian Process for Regression (GPR), Multi Adaptive Regression Spline (MARS) and Minimax Probability Machine Regression (MPMR). Contents of cement, blast furnace slag, fly ash, water, superplasticizer, coarse aggregate, fine aggregate and age in days have been taken as inputs and compressive strength as output for GPR, MARS and MPMR models. A comparatively large set of data including 1030 normalized previously published results which were obtained from experiments were utilized. Here, a comparison is made between the results obtained from all the above mentioned models and the model which provides the best fit is established. The experimental results manifest that proposed models are robust for determination of compressive strength of concrete.

• 대한조선학회논문집
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• 제59권3호
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• pp.141-148
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• 2022

A hybrid turbulence model has developed by combining a sub-grid scale model using dynamic k equation in LES with k-𝜔 SST model of RANS equation. To ascertain potential applicability of the hybrid turbulence model, fully developed turbulent channel flows at Re_𝜏=180 have been simulated of which computational domain has a top wall with coarse cells and a bottom wall with fine cells. The streamwise mean velocity and turbulent intensity profiles showed a good agreement with DNS data when using the hybrid model rather than using a single model in k-𝜔 SST or dynamic k equation models. Computational simulations of turbulent flows around KVLCC2 with a pre-swirl duct have been mainly performed using the hybrid turbulence model. Compared to the results obtained from RANS simulation with k-𝜔 SST model as well as LES with dynamic k equation SGS model, turbulent wakes of the duct in the present simulation using the hybrid turbulence model were very similar to that of LES. Also, the resistances acting on hull, rudder and duct in hybrid turbulence model were similar to those in RANS simulation whereas the viscous forces acting on the hull in LES had a significant error due to coarse cells inappropriate to the sub-grid scale model.

• International Journal of Naval Architecture and Ocean Engineering
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• 제6권2호
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• pp.459-470
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• 2014

During ship design, welding-induced distortions are roughly estimated as a function of the size of the component as well as the welding process and residual stresses are assumed to be locally in the range of the yield stress. Existing welding simulation methods are very complex and time-consuming and therefore not applicable to large structures like ships. Simplified methods for the estimation of welding effects were and still are subject of several research projects, but mostly concerning smaller structures. The main goal of this paper is the application of a multi-layer welding simulation to the block joint of a ship structure. When welding block joints, high constraints occur due to the ship structure which are assumed to result in accordingly high residual stresses. Constraints measured during construction were realized in a test plant for small-scale welding specimens in order to investigate their and other effects on the residual stresses. Associated welding simulations were successfully performed with fine-mesh finite element models. Further analyses showed that a courser mesh was also able to reproduce the welding-induced reaction forces and hence the residual stresses after some calibration. Based on the coarse modeling it was possible to perform the welding simulation at a block joint in order to investigate the influence of the resulting residual stresses on the behavior of the real structure, showing quite interesting stress distributions. Finally it is discussed whether smaller and idealized models of definite areas of the block joint can be used to achieve the same results offering possibilities to consider residual stresses in the design process.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2018년도 학술발표회
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• pp.154-154
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• 2018

To interpret the climate projections for the future as well as present, recognition of the consequences of the climate internal variability and quantification its uncertainty play a vital role. The Korean Peninsula belongs to the Far East Asian Monsoon region and its rainfall characteristics are very complex from time and space perspective. Its internal variability is expected to be large, but this variability has not been completely investigated to date especially using models of high temporal resolutions. Due to coarse spatial and temporal resolutions of General Circulation Models (GCM) projections, several studies adopted dynamic and statistical downscaling approaches to infer meterological forcing from climate change projections at local spatial scales and fine temporal resolutions. In this study, stochastic downscaling methodology was adopted to downscale daily GCM resolutions to hourly time scale using an hourly weather generator, the Advanced WEather GENerator (AWE-GEN). After extracting factors of change from the GCM realizations, these were applied to the climatic statistics inferred from historical observations to re-evaluate parameters of the weather generator. The re-parameterized generator yields hourly time series which can be considered to be representative of future climate conditions. Further, 30 ensemble members of hourly precipitation were generated for each selected station to quantify uncertainty. Spatial map was generated to visualize as separated zones formed through K-means cluster algorithm which region is more inconsistent as compared to the climatological norm or in which region the probability of occurrence of the extremes event is high. The results showed that the stations located near the coastal regions are more uncertain as compared to inland regions. Such information will be ultimately helpful for planning future adaptation and mitigation measures against extreme events.

• 한국수자원학회논문집
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• 제52권10호
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• pp.697-706
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• 2019

다상흐름 모델링 기법과 하이브리드 난류 모델링 기법을 결합한 수치모형을 이용하여 사각형 수로에서의 중력류를 수치모의 하였다. 이 연구에서 적용한 다상흐름 해석기법은 밀도가 큰 중력류 유체, 상대적으로 밀도가 작은 주변류 유체 그리고 자유수면 위에서 흐르는 공기를 3개의 상으로 처리하며, 각 상에 대해서 분리된 흐름 지배방정식을 적용한다. 난류흐름은 벽경계 근처에서는 RANS 모드로 모의하고 벽에서 떨어진 영역에서는 LES 모드로 해석하는 하이브리드 RANS/LES 방법의 일종인 IDDES 기법을 이용하여 해석한다. 이 연구에서 적용한 모델링 기법은 중력류의 머리의 전파속도를 실험값과 일치하게 잘 예측하는 것으로 나타났다. 수치해석 결과는 아울러 낮은 레이놀즈수 난류모형을 이용한 RANS 수치모의에서 이용되는 정도의 격자해상도에서도 큰 규모의 Kelvin-Helmholtz 형식의 경계면 와의 발달과 이들 와가 지속적으로 3차원 형식의 붕괴를 거쳐 작은 난류구조로 분해되면서 난류에너지가 소산되는 현상을 성공적으로 예측함을 보여준다. 적용한 수치모의 기법은 공학적으로 접근 가능한 격자해상도에서 돌출-쪼개짐 흐름 불안정을 동반한 중력류 머리부분의 3차원 거동 특성을 잘 재현하며, 이 결과는 보다 높은 격자해상도에서 구해진 LES 결과에 상응하는 것으로 나타났다. 이 연구결과는 하이브리드 난류모델링 기법과 다상흐름 해석기법을 병합한 수치모형이 자연상태에서 복잡한 중력류의 물리적 거동을 예측하는데 공학적으로 유망한 방법임을 보여준다.

• Ocean Systems Engineering
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• 제6권1호
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• pp.61-97
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• 2016

This is the second of two papers on the 3D numerical modeling of nearshore hydro- and morphodynamics. In Part I, the focus was on surf and swash zone hydrodynamics in the cross-shore and longshore directions. Here, we consider nearshore processes with an emphasis on the effects of oceanic forcing and beach characteristics on sediment transport in the cross- and longshore directions, as well as on foreshore bathymetry changes. The Delft3D and XBeach models were used with four turbulence closures (viz., ${\kappa}-{\varepsilon}$, ${\kappa}-L$, ATM and H-LES) to solve the 3D Navier-Stokes equations for incompressible flow as well as the beach morphology. The sediment transport module simulates both bed load and suspended load transport of non-cohesive sediments. Twenty sets of numerical experiments combining nine control parameters under a range of bed characteristics and incident wave and tidal conditions were simulated. For each case, the general morphological response in shore-normal and shore-parallel directions was presented. Numerical results showed that the ${\kappa}-{\varepsilon}$ and H-LES closure models yield similar results that are in better agreement with existing morphodynamic observations than the results of the other turbulence models. The simulations showed that wave forcing drives a sediment circulation pattern that results in bar and berm formation. However, together with wave forcing, tides modulate the predicted nearshore sediment dynamics. The combination of tides and wave action has a notable effect on longshore suspended sediment transport fluxes, relative to wave action alone. The model's ability to predict sediment transport under propagation of obliquely incident wave conditions underscores its potential for understanding the evolution of beach morphology at field scale. For example, the results of the model confirmed that the wave characteristics have a considerable effect on the cumulative erosion/deposition, cross-shore distribution of longshore sediment transport and transport rate across and along the beach face. In addition, for the same type of oceanic forcing, the beach morphology exhibits different erosive characteristics depending on grain size (e.g., foreshore profile evolution is erosive or accretive on fine or coarse sand beaches, respectively). Decreasing wave height increases the proportion of onshore to offshore fluxes, almost reaching a neutral net balance. The sediment movement increases with wave height, which is the dominant factor controlling the beach face shape.