• 제목/요약/키워드: Analysis model

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2차원 수치해석모형을 이용한 낙동강 중류구간의 하천흐름 해석 (Analysis of Hydraulic Characteristics in the Middle Reaches of Nak-Dong River using 2-Dimensional Numerical Analyis Model)

  • 한성대;최현;안창환;이제윤
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2008년도 학술발표회 논문집
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    • pp.1732-1736
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    • 2008
  • The characteristics of a river flow analysis are significant for river maintenance plan. At the present time, HEC-RAS, 1-Dimensional Numerical Analysis Model, is mainly applied to analyze the character of a river flow. The shape of a river is somewhat in longitudinal linear form. It was suspected that the usage of 1-dimensional numerical analysis model is more economical. Development of numerical analysis models and computers are possible to calculate large volume. Hence, it is possible to adapt the analysis of the key stations by 2-dimensional numerical analysis model. The limitation of 1-Dimensional Numerical Analysis Model is that it is hard to evaluate structure affection of numerical simulation by energy loss coefficient at river structure analyzing. When adaptation of the 2-dimensional numerical analysis model in river structure ensues, it takes more objective analyzing than 1-dimensional numerical analysis model for flow affection by river structure. 2-dimensional numerical analysis model consults with the different structure position of hydraulic characteristics and different water depth of shape and scope in vertical flow. 1-dimensional numerical analysis model is possible to simulate with only energy loss coefficient for sudden river section changing, sudden waterway changing by curved. 2-dimensional numerical analysis model use original geographical features. So the model removes technical subjectivity of faulty judgment. It is an objective analysis.

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전기체 동적 유한요소 모델을 이용한 소형항공기 플러터 해석 (Flutter Analysis of Small Aircraft using Full Airframe Dynamic FE Model)

  • 이상욱;백승길;김성찬;황인희
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2008년도 추계학술대회A
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    • pp.424-429
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    • 2008
  • Aircraft flutter analysis model consists of dynamic FE model and aerodynamic model. Dynamic FE model is composed of stiffness and mass model, and is used for the prediction of normal mode characteristics of the structure. Since aircraft flutter analysis is normally performed in the modal domain, dynamic FE model shall be constructed to describe the modal characteristics of the structure with sufficient accuracy. In this study, dynamic FE modeling method was described using full airframe FE model and structural and system weight data for aircraft flutter analysis. In addition, full airframe dynamic FE model for composite small aircraft was constituted for normal mode and flutter analysis, and the mass modeling results were compared with the target weight data to validate the mass modeling method proposed. Finally, full airframe flutter analysis of composite small aircraft was performed with the dynamic FE model and the aerodynamic model composed.

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실내 라돈오염 해석을 위한 2구역 모델의 민감도 및 불확실성 분석 (Sensitivity and Uncertainty Analysis of Two-Compartment Model for the Indoor Radon Pollution)

  • 유동한;이한수;김상준;양지원
    • 한국대기환경학회지
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    • 제18권4호
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    • pp.327-334
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    • 2002
  • The work presents sensitivity and uncertainty analysis of 2-compartment model for the evaluation of indoor radon pollution in a house. Effort on the development of such model is directed towards the prediction of the generation and transfer of radon in indoor air released from groundwater. The model is used to estimate a quantitative daily human exposure through inhalation of such radon based on exposure scenarios. However, prediction from the model has uncertainty propagated from uncertainties in model parameters. In order to assess how model predictions are affected by the uncertainties of model inputs, the study performs a quantitative uncertainty analysis in conjunction with the developed model. An importance analysis is performed to rank input parameters with respect to their contribution to model prediction based on the uncertainty analysis. The results obtained from this study would be used to the evaluation of human risk by inhalation associated with the indoor pollution by radon released from groundwater.

군단급 간이분석 워게임모형을 이용한 군단 및 사단 작전분석 방안 연구 (A Study on Corps / Division Operation Analysis Using Simplified Corps Level Wargame Model)

  • 박승환;강성진
    • 한국국방경영분석학회지
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    • 제24권2호
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    • pp.95-116
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    • 1998
  • Many different kinds of wargame models have been developed and used in training and analysis purpose. However, there has been few wargame model which analyze corps or division level operational analysis. Recently KIDA develops corps level operational analysis model based on START(simplified tool for analysis of regional treats) model developed by RAND. This model runs in a PC level with 2MB memory and provides one day combat results within 30 seconds. Only one or three person can operate this model and evaluate multiple corps level operational analysis including chemical effects, $C^3I$ capacity, new weapon system effectiveness and other qualitative effects. We tested this model and evaluated input and output data. We showed that this model can be applied in division level operational analysis also. As an example division level application procedure and sensitivity analysis data was provided. We also find some limitation and problems in the model and suggest application areas and improving methods.

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개별요소법을 이용한 터널 안정성 해석에 있어 Barton-Bandis 절리 모델과 Mohr-Coulomb절리 모델의 비교 (A Comparison of Barton-Bandis Joint Model and Mohr-Coulomb Joint Model for Tunnel Stability Analysis with DEM)

  • 이성규;김치환
    • 터널과지하공간
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    • 제11권2호
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    • pp.167-173
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    • 2001
  • 불연속체 해석을 이용하여 터널 안정성 해석을 수행할 경우 해석 결과는 절리 모델의 선택에 따라 달라진다. 따라서 본 연구에서는 개별요소법을 이용한 불연속체 터널 안정성 해석에 있어 BB모델 적용시의 해석 결과와 MC모델 적용시의 해석 결과를 비교하였다. 또한 주어진 응력 조건과 터널 형상에 따른 암반의 변형 거동을 규명하기 위하여 불연속체 해석 결과와 연속체 해석 결과를 비교하였다. 연속체 해석결과와 BB 모델을 사용한 불연속체 해석 결과는 변위 및 응력 분포는 비슷한 양상을 보이는 반면. MC모델을 사용한 불연속체 해석결과는 이와 다른 양상을 보였다. 또한 MC모델을 사용하여 불연속체 해석을 실시할 경우 절리의 영향을 명시적으로 고려하였음에도 불구하고 연속체 해석 결과에 비해 변위 및 최소 주응력이 더 작게 발생할 수 있음을 확인할 수 있었다 이는 MC모델이 실제 절리의 변형거동 특성을 현실적으로 모사할 수 없기 때문에 발생되는 결과이며.특히 절리면의 전단거동에 무관하게 팽창각을 일정한 상수로 취급하는 MC 모델의 특성으로 인한 결과이다

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3D-based equivalent model of SMART control rod drive mechanism using dynamic condensation method

  • Ahn, Kwanghyun;Lee, Kang-Heon;Lee, Jae-Seon;Chang, Seongmin
    • Nuclear Engineering and Technology
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    • 제54권3호
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    • pp.1109-1114
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    • 2022
  • The SMART (System-integrated Modular Advanced ReacTor) is an integral-type small modular reactor developed by KAERI (Korea Atomic Energy Research Institute). This paper discusses the feasibility and applicability of a 3D-based equivalent model using dynamic condensation method for seismic analysis of a SMART control rod drive mechanism. The equivalent model is utilized for complicated seismic analysis during the design of the SMART. While the 1D-based beam-mass equivalent model is widely used in the nuclear industry for its calculation efficiency, the 3D-based equivalent model is suggested for the seismic analysis of SMART to enhance the analysis accuracy of the 1D-based equivalent model while maintaining its analysis efficiency. To verify the suggested model, acceleration response spectra from seismic analysis based on the 3D-based equivalent model are compared to those from the 1D-based beam-mass equivalent model and experiments. The accuracy and efficiency of the dynamic condensation method are investigated by comparison to analysis results based on the conventional modeling methodology used for seismic analysis.

한글 음소 단위 딥러닝 모형을 이용한 감성분석 (Sentiment Analysis Using Deep Learning Model based on Phoneme-level Korean)

  • 이재준;권순범;안성만
    • 한국IT서비스학회지
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    • 제17권1호
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    • pp.79-89
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    • 2018
  • Sentiment analysis is a technique of text mining that extracts feelings of the person who wrote the sentence like movie review. The preliminary researches of sentiment analysis identify sentiments by using the dictionary which contains negative and positive words collected in advance. As researches on deep learning are actively carried out, sentiment analysis using deep learning model with morpheme or word unit has been done. However, this model has disadvantages in that the word dictionary varies according to the domain and the number of morphemes or words gets relatively larger than that of phonemes. Therefore, the size of the dictionary becomes large and the complexity of the model increases accordingly. We construct a sentiment analysis model using recurrent neural network by dividing input data into phoneme-level which is smaller than morpheme-level. To verify the performance, we use 30,000 movie reviews from the Korean biggest portal, Naver. Morpheme-level sentiment analysis model is also implemented and compared. As a result, the phoneme-level sentiment analysis model is superior to that of the morpheme-level, and in particular, the phoneme-level model using LSTM performs better than that of using GRU model. It is expected that Korean text processing based on a phoneme-level model can be applied to various text mining and language models.

액체저장탱크의 지진응답해석 모델 중 빔 모델의 적용성 (Applicability of Beam Model among Earthquake Response Analysis Models of Liquid-Storage Tank)

  • 진병무;전세진;김영진
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2004년도 춘계 학술발표회 제16권1호
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    • pp.696-699
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    • 2004
  • Generally, the time history analysis among seismic response analyses of a structure needs more times than static analysis. Therefore the mechanical model of a structure has been used as a simple lumped parameter model in time history analysis. For the most cases, the simple mechanical model shows the similar results to that of detailed finite element model. so it is reasonable to use the simple mode] in preliminary analysis. In seismic design of liquid storage tank, such as LNG storage tank, the lumped parameter mode] also is being used in preliminary analysis, however sometimes shows the differences to the results of detailed finite element model. Therefore in this study, the dynamic characteristics between lumped parameter model and detailed finite model is compared for the variables such as height/diameter of liquid-storage tank and thickness of wall, then the applicability of beam mode] to the seismic response analysis are evaluated for some liquid storage tanks.

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건축공간의 행동모델과 공간구조 분석모델에 관한 연구 (A Study on Behavioral Model and Spatial Configuration Analysis model in the Architectural Space)

  • 이종렬
    • 한국디지털건축인테리어학회논문집
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    • 제12권2호
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    • pp.61-66
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    • 2012
  • In space syntax, the mathmatical process to get a integration could be restrictive in understanding spatial configuration since it is based on only one behavior model. In this study, As another approach to spatial configuration analysis based on behavioral model, there is the simulation tracking analysis model that simulates the movements of human in the space and analyze them. In this study, the relationship between integration and behavioral model will be defined and the similarities and the differences between space syntax and the simulation tracking analysis model will be demonstrated. Furthermore, these two analysis models will be understood as a variety of tools that can analyze an object in multiple viewpoints.

군집분석을 이용한 국지해일모델 지역확장 (Regional Extension of the Neural Network Model for Storm Surge Prediction Using Cluster Analysis)

  • 이다운;서장원;윤용훈
    • 대기
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    • 제16권4호
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    • pp.259-267
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    • 2006
  • In the present study, the neural network (NN) model with cluster analysis method was developed to predict storm surge in the whole Korean coastal regions with special focuses on the regional extension. The model used in this study is NN model for each cluster (CL-NN) with the cluster analysis. In order to find the optimal clustering of the stations, agglomerative method among hierarchical clustering methods was used. Various stations were clustered each other according to the centroid-linkage criterion and the cluster analysis should stop when the distances between merged groups exceed any criterion. Finally the CL-NN can be constructed for predicting storm surge in the cluster regions. To validate model results, predicted sea level value from CL-NN model was compared with that of conventional harmonic analysis (HA) and of the NN model in each region. The forecast values from NN and CL-NN models show more accuracy with observed data than that of HA. Especially the statistics analysis such as RMSE and correlation coefficient shows little differences between CL-NN and NN model results. These results show that cluster analysis and CL-NN model can be applied in the regional storm surge prediction and developed forecast system.