• 제목/요약/키워드: Multi-Sensitivity Model

검색결과 218건 처리시간 0.033초

반응표면모델에 의한 철도 차량 대차의 탄성조인트 최적설계 (Optimization of the Elastic Joint of Train Bogie Using by Response Surface Model)

  • 박찬경;이광기
    • 대한기계학회논문집A
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    • 제24권3호
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    • pp.661-666
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    • 2000
  • Optimization of the elastic joint of train is performed according to the minimization of ten responses which represent driving safety and ride comfort of train and analyzed by using the each response se surface model from stochastic design of experiments. After the each response surface model is constructed, the main effect and sensitivity analyses are successfully performed by 2nd order approximated regression model as described in this paper. We can get the optimal solutions using by nonlinear programming method such as simplex or interval optimization algorithms. The response surface models and the optimization algorithms are used together to obtain the optimal design of the elastic joint of train. the ten 2nd order polynomial response surface models of the three translational stiffness of the elastic joint (design factors) are constructed by using CCD(Central Composite Design) and the multi-objective optimization is also performed by applying min-max and distance minimization techniques of relative target deviation.

갑천유역을 대상으로 SWAT 모형의 다 변수 및 다 지점 검.보정 (Multi-variable and Multi-site Calibration and Validation of SWAT for the Gap River Catchment)

  • 김정곤;손경호;노준우;장창래;고익환
    • 한국수자원학회논문집
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    • 제39권10호
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    • pp.867-880
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    • 2006
  • 많은 수의 매개변수와 복잡한 구조를 가진 수문모형의 적용 시 세밀하고 강력한 모델 검 보정이 요구된다. 본 연구에서 금강유역에 위치한 갑천 소유역에 준 분포형 모형인 SWAT모형을 이용하여 다 목적 지점 검 보정 방법을 제시하였다. 모형의 보정 전 민감도 분석을 통한 각 소유역별로 특성 분석이 이루어 졌고, 유출에 민감한 매개변수들을 추정하였다. 그리고 최소한의 보정을 통한 모형의 유효성을 높이기 위해, 관측된 데이터로부터 매개변수 값을 선보정하는 과정을 거쳤다. 그 결과 각 소유역 별로 다른 매개변수들의 민감도가 나타났다. 관측유량에 대한 보정 단계에서 $R_{eff}$는 0.41-0.84, $R^2$은 0.5-0.86 값으로 신뢰성 있는 결과를 얻었다. Recursive digital filter로 추정된 기저 유출량을 약 2% 범위에서 산정하였다. 관측 지하수 수위와의 비교에서도 전체적으로 관측된 지하수 수위의 시간적 변동추이와 변동 폭을 잘 나타내었으며, $R^2$는 0.69로 만족스러운 결과를 보였다. 결론적으로, 다 목적 지점 방법의 사용은 모형기 구조와 추정된 매개변수들에 높은 신뢰도를 제공하였다.

단시간 다중모델 앙상블 바람 예측 (Wind Prediction with a Short-range Multi-Model Ensemble System)

  • 윤지원;이용희;이희춘;하종철;이희상;장동언
    • 대기
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    • 제17권4호
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    • pp.327-337
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    • 2007
  • In this study, we examined the new ensemble training approach to reduce the systematic error and improve prediction skill of wind by using the Short-range Ensemble prediction system (SENSE), which is the mesoscale multi-model ensemble prediction system. The SENSE has 16 ensemble members based on the MM5, WRF ARW, and WRF NMM. We evaluated the skill of surface wind prediction compared with AWS (Automatic Weather Station) observation during the summer season (June - August, 2006). At first stage, the correction of initial state for each member was performed with respect to the observed values, and the corrected members get the training stage to find out an adaptive weight function, which is formulated by Root Mean Square Vector Error (RMSVE). It was found that the optimal training period was 1-day through the experiments of sensitivity to the training interval. We obtained the weighted ensemble average which reveals smaller errors of the spatial and temporal pattern of wind speed than those of the simple ensemble average.

다점 확률분포 모델을 이용한 초임계 압력 액체질소 제트 해석 (Numerical Analysis of Cryogenic Liquid Nitrogen Jets at Supercritical Pressures using Multi-Environment Probability Density Function approach)

  • 정기영;김남수;김용모
    • 한국분무공학회지
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    • 제22권3호
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    • pp.137-145
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    • 2017
  • This paper describes numerical modeling of transcritical and supercritical fluid flows within a liquid propellant rocket engine. In the present paper, turbulence is modeled by standard $k-{\varepsilon}$ model. A conserved scalar approach in conjunction with multi-environment probability density function model is used to account for the turbulent mixing of real-fluids in the transcritical and supercritical region. The two real-fluid equations of state and dense-fluid correction schemes for mixtures are used to construct thermodynamic data library based on the conserved scalar. In this study, calculations are made on two cryogenic nitrogen jets under different chamber pressures. Sensitivity analysis for two different real-fluid equations of sate is particularly emphasized. Based on numerical results, precise structures of cryogenic nitrogen jets are discussed in detail. Numerical results show that the current real-fluid model can predict the essential features of the cryogenic liquid nitrogen jets.

협력적 게임을 이용한 다수단 연속형 교통망 설계 모형 (A Multi-modal Continuous Network Design Model by Using Cooperative Game Approach)

  • 김병관;이영인;임용택;임강원
    • 대한교통학회지
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    • 제29권1호
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    • pp.81-93
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    • 2011
  • 본 연구는 다수단 교통망에서 교통시설 운영자와 이용자의 상호 의사결정과정을 고려하여 교통시설의 건설 및 운영 정책 문제를 해결하기 위한 다수단 연속형 교통망 설계문제를 다룬다. 특히, 교통시설에 대한 정책변화에 따라 교통수단간 통행이 어떻게 변화하는가를 고려하기 위하여 승용차 교통망과 대중교통 교통망을 함께 고려하고자한다. 이러한 교통망 설계 모형을 개발함에 있어서 일반적인 Nash 균형(비협력 게임)의 접근법이 아닌 좀 더 합리적이라고 연구되어진 Stackelberg 균형(협력적 게임)의 접근법을 이용하고 그러한 방법으로 다수단 교통망의 교통수단 선택을 고려한 민감도 분석 방법을 적용한다. 본 연구의 다수단 연속형 교통망 설계 모형은 교통정책 결정에 대한 임의의 연속형 교통망 설계변수(${\epsilon},\hat{\epsilon},p$)에 대해서 개발되어진다. 또한 모형의 적용 및 평가를 위하여 1)도로 정책에 대한 최적 도로용량 산정과 2)대중교통 정책에 대한 최적 대중교통 노선빈도 산정 그리고 3)교통체계의 수단분담 정책에 대한 현 교통체계의 최적 목표 수단분담율 산정 문제에 모형을 적용하여 본다.

A Variational Framework for Single Image Dehazing Based on Restoration

  • Nan, Dong;Bi, Du-Yan;He, Lin-Yuan;Ma, Shi-Ping;Fan, Zun-Lin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권3호
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    • pp.1182-1194
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    • 2016
  • The single image dehazing algorithm in existence can satisfy the demand only for improving either the effectiveness or efficiency. In order to solve the problem, a novel variational framework for single image dehazing based on restoration is proposed. Firstly, the initial atmospheric scattering model is transformed to meet the kimmel's Retinex variational model. Then, the green light component of image is considered as an input of the variational framework, which is generated by the sensitivity of green wavelength. Finally, the atmospheric transmission map is achieved by multi-resolution pyramid reduction to improve the visual effect of the results. Experimental results demonstrate that the proposed method can remove haze effectively with less memory consumption.

새만금호 3차원 수리.수질모델(EFDC)의 수치격자 민감도 분석 (A Sensitivity Analysis on Numerical Grid Size of a Three-Dimensional Hydrodynamic and Water Quality Model (EFDC) for the Saemangeum Reservoir)

  • 전지혜;정세웅
    • 한국물환경학회지
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    • 제28권1호
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    • pp.26-37
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    • 2012
  • Multi-dimensional hydrodynamic and water quality models are widely used to simulate the physical and biogeochemical processes in the surface water systems such as reservoirs and estuaries. Most of the models have adopted the Eulerian grid modeling framework, mainly because it can reasonably simulate physical dynamics and chemical species concentrations throughout the entire model domain. Determining the optimum grid cell size is important when using the Eulerian grid-based three-dimensional water quality models because the characteristics of species are assumed uniform in each of the grid cells and chemical species are represented by concentration (mass per volume). The objective of this study was to examine the effect of grid-size of a three dimensional hydrodynamic and water quality model (EFDC) on hydrodynamics and mass transport in the Saemangeum Reservoir. Three grid resolutions, respectively representing coarse (CG), medium (MG), and fine (FG) grid cell sizes, were used for a sensitivity analysis. The simulation results of numerical tracer showed that the grid resolution affects on the flow path, mass transport, and mixing zone of upstream inflow, and results in a bias of temporal and spatial distribution of the tracer. With the CG, in particular, the model overestimates diffusion in the mixing zone, and fails to identify the gradient of concentrations between the inflow and the ambient water.

Application of meta-model based parameter identification of a seismically retrofitted reinforced concrete building

  • Yu, Eunjong
    • Computers and Concrete
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    • 제21권4호
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    • pp.441-449
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    • 2018
  • FE models for complex or large-scaled structures that need detailed modeling of structural components are usually constructed using commercial analysis softwares. Updating of such FE model by conventional sensitivity-based methods is difficult since repeated computation for perturbed parameters and manual calculations are needed to obtain sensitivity matrix in each iteration. In this study, an FE model updating procedure avoiding such difficulties by using response surface (RS) method and a Pareto-based multiobjective optimization (MOO) was formulated and applied to FE models constructed with a commercial analysis package. The test building is a low-rise reinforced concrete building that has been seismically retrofitted. Dynamic properties of the building were extracted from vibration tests performed before and after the seismic retrofits, respectively. The elastic modulus of concrete and masonry, and spring constants for the expansion joint were updated. Two RS functions representing the errors in the natural frequencies and mode shape, respectively, were obtained and used as the objective functions for MOO. Among the Pareto solutions, the best compromise solution was determined using the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) procedure. A similar task was performed for retrofitted building by taking the updating parameters as the stiffness of modified or added members. Obtained parameters of the existing building were reasonably comparable with the current code provisions. However, the stiffness of added concrete shear walls and steel section jacketed members were considerably lower than expectation. Such low values are seemingly because the bond between new and existing concrete was not as good as the monolithically casted members, even though they were connected by the anchoring bars.

Multi-GCMs을 활용한 논벼 필요수량의 불확성 및 민감도 기후영향평가 (Assessment of climate change impacts on uncertainty and sensitivity of paddy water requirement in South Korea using multi-GCMs)

  • 유승환;이상현;최진용;윤광식;최동호
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2016년도 학술발표회
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    • pp.516-516
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    • 2016
  • 기후변화는 농업생산량 감소와 식량 안보 문제와 같이 농업에 심각한 영향을 미칠 수 있다. 또한 기존의 농업수리 및 관개배수 시설 운영에 영향을 줄 수 있다. 따라서 지속가능한 농업 수자원 관리를 위해서는 기후변화의 영향을 고려한 장기적인 계획 수립이 필요하다. 따라서 본 연구에서는 논벼 지역의 설계용수량의 확률론적 분석을 통한 논벼 필요수량 및 설계용수량에 대한 기후변화영향 평가를 실시하였다. 이를 위해서 본 연구에서는 23개 GCM의 36개 산출물을 활용하여 Multi-model ensemble 구축하였다. 먼저 GCM별 증발산량과 유효우량을 산정한 결과 중부지역에서는 IPSL-CM5A 모델의 기후변화자료를 활용할 경우 증발산량과 유효우량이 타 GCM 모델들과 비하여 크게 산정되었다. 남부지역에서는 CanESM2 모델을 적용할 경우 가장 많은 증발산량과 유효우량이 모의되는 것으로 나타났다. 이처럼 GCM별로 다양한 결과가 모의되기 때문에 농업시설 설계에 적용되는 설계용수량의 경우 안전성을 위하여 Multi-GCM models을 활용할 필요가 있다. Multi-model ensemble의 RCP 4.5와 RCP 8.5 시나리오를 적용한 결과, 모든 경우에서 1995s(1981-2014)에 비해 설계용수량은 점차적으로 증가하는 것으로 나타났다. 평균 증가율은 RCP 4.5에서 중부지역이 9.4%, 남부지역이 6.0% 증가하는 것으로 나타난 반면, RCP 8.5에서는 중부지역이 11.1%, 남부지역이 8.2% 증가하는 것으로 나타났다. 또한 여러 GCM 산출물간의 불확실성은 RCP 4.5보다는 RCP 8.5 시나리오가, 중부 지역보다는 남부 지역이, 논벼 증발산량 보다는 유효우량이 더 큰 것으로 분석되었다. 본 연구는 향후 미래 가뭄 위험성을 최소화하기 위한 농업 수자원관리 전략수립에 활용될 수 있을 것이다. 또한 본 연구결과는 기후변화 영향 평가에 있어서 적합한 GCM 자료를 선택하는데 있어, 불확실성을 가늠할 수 있는 유용한 척도로 이용될 수 있을 것으로 기대된다.

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온도 성층화를 이용한 DME HCCI 엔진의 운전 영역 확장에 관한 수치해석 연구 (Prediction of the Viable Operating Range of DME Heel Engine Using Thermal Stratification Based on Numerical Analysis)

  • 정동원;권오석;백영순;임옥택
    • 한국수소및신에너지학회논문집
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    • 제20권4호
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    • pp.344-351
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    • 2009
  • A multi-zone model was used to predict the operating range of homogeneous charge compression ignition (HCCI) engine, the boundaries of the operating range were determined by knock (presented by ring intensity), misfire (presented by sensitivity of indicated mean effective pressure to the initial temperature). A HCCI engine fueled with Di-Methyl Ether (DME) was simulated under different initial temperature and equivalence ratios, and the operating range was well produced by the model. Furthermore, the model was applied to develop the operating range for thermal stratification in the preceding condition of initial temperature and equivalence ratios. The computations were conducted using Senkin application of the CHEMKINII kinetics rate code.