• 제목/요약/키워드: Kriging technique

검색결과 120건 처리시간 0.028초

공간통계기법을 이용한 도로교통기반의 온실가스 관한 연구 -대구광역시를 대상으로- (A Study on Estimation of the Greenhouse Gas Emission from the Road Transportation Infrastructure Using the Geostatistical Analysis -A Case of the Daegu-)

  • 이상우;이승욱;이승엽;홍원화
    • Spatial Information Research
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    • 제22권1호
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    • pp.9-17
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    • 2014
  • 본 연구는 대구광역시의 주요도로를 대상으로 공간통계기법을 이용하여 도로교통 온실가스 배출량을 신뢰성있게 예측하여 추정된 배출량으로 행정구별에 따라 도로교통에서 발생한 온실가스 배출량을 산정하는 것을 목적으로 하였다. 첫째, 주요도로의 교통량 관측지점에서 실시간으로 조사한 교통량을 이용하여 관측지점에서 발생한 온실가스 배출량을 산정하였다. 둘째, 일반 크리깅(Universal Kriging)기법을 이용하여 공간적 상관성에 의해 미 관측지점의 온실가스 배출량을 신뢰성 있게 추정하기 위해 적합한 베리오그램 모델링을 설정하였다. 이에 교차검증을 통하여 적합한 베리오그램 모델과 크리깅 기법의 타당성을 검증하였다. 셋째, 검증된 크리깅 기법으로 미 관측지점의 도로교통에서 발생한 온실가스 배출량을 예측하여 행정구별로 도로교통 온실가스 배출량을 추정하여 산정하였다. 그 결과, 도로교통 온실가스 배출량을 행정구별로 보면 북구가 약 $291,878,020kgCO_2eq/yr$로 가장 많은 온실가스를 배출하는 것으로 나타났다.

사다리꼴 미세유로의 형상최적화 (Shape Optimization of a Trapezoidal Micro-Channel)

  • 후세인 아프잘;김광욜
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2007년도 춘계학술대회B
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    • pp.2666-2671
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    • 2007
  • This work presents microchannel heat sink shape optimization procedure using Kriging method. Design variables relating to microchannel width, depth and fin width are selected, and thermal resistance has been taken as objective function. Design points are selected through a three-level fractional factorial design of sampling method. Navier-Stokes and energy equations for laminar flow and conjugate heat transfer are solved at these design points using a finite volume solver. Solutions are carefully validated with experimental results. Using the numerically evaluated objective function, a surrogate model (Kriging) is constructed and optimum point is searched by sequential quadratic programming. The process of shape optimization greatly improves the thermal performance of microchannel heat sink under constant pumping power.

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크리깅 기반 차원감소법을 이용한 베이지안 신뢰도 해석 (Bayesian Reliability Analysis Using Kriging Dimension Reduction Method (KDRM))

  • 안다운;최주호;원준호
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2008년도 정기 학술대회
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    • pp.602-607
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    • 2008
  • A technique for reliability-based design optimization(RBDO) is developed based on the Bayesian approach, which can deal with the epistemic uncertainty arising due to the limited number of data. Until recently, the conventional RBDO was implemented mostly by assuming the uncertainty as aleatory which means the statistical properties are completely known. In practice, however, this is not the case due to the insufficient data for estimating the statistical information, which makes the existing RBDO methods less useful. In this study, a Bayesian reliability is introduced to take account of the epistemic uncertainty, which is defined as the lower confidence bound of the probability distribution of the original reliability. In this case, the Bayesian reliability requires double loop of the conventional reliability analyses, which can be computationally expensive. Kriging based dimension reduction method(KDRM), which is a new efficient tool for the reliability analysis, is employed to this end. The proposed method is illustrated using a couple of numerical examples.

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PREDICTION OF UNMEASURED PET DATA USING SPATIAL INTERPOLATION METHODS IN AGRICULTURAL REGION

  • Ju-Young;Krishinamurshy Ganeshi
    • Water Engineering Research
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    • 제5권3호
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    • pp.123-131
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    • 2004
  • This paper describes the use of spatial interpolation for estimating seasonal crop potential evapotranspiration (PET) and irrigation water requirement in unmeasured evaporation gage stations within Edwards Aquifer, Texas using GIS. The Edwards Aquifer area has insufficient data with short observed records and rare gage stations, then, the investigation of data for determining of irrigation water requirement is difficult. This research shows that spatial interpolation techniques can be used for creating more accurate PET data in unmeasured region, because PET data are important parameter to estimate irrigation water requirement. Recently, many researchers are investigating intensively these techniques based upon mathematical and statistical theories. Especially, three techniques have well been used: Inverse Distance Weighting (IDW), spline, and kriging (simple, ordinary and universal). In conclusion, the result of this study (Table 1) shows the kriging interpolation technique is found to be the best method for prediction of unmeasured PET in Edwards aquifer, Texas.

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Multiscale simulation based on kriging based finite element method

  • Sommanawat, Wichain;Kanok-Nukulchai, Worsak
    • Interaction and multiscale mechanics
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    • 제2권4호
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    • pp.353-374
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    • 2009
  • A new seamless multiscale simulation was developed for coupling the continuum model with its molecular dynamics. Kriging-based Finite Element Method (K-FEM) is employed to model the continuum base of the entire domain, while the molecular dynamics (MD) is confined in a localized domain of interest. In the coupling zone, where the MD domain overlaps the continuum model, the overall Hamiltonian is postulated by contributions from the continuum and the molecular overlays, based on a quartic spline scaling parameter. The displacement compatibility in this coupling zone is then enforced by the Lagrange multiplier technique. A multiple-time-step velocity Verlet algorithm is adopted for its time integration. The validation of the present method is reported through numerical tests of one dimensional atomic lattice. The results reveal that at the continuum/MD interface, the commonly reported spurious waves in the literature are effectively eliminated in this study. In addition, the smoothness of the transition from MD to the continuum can be significantly improved by either increasing the size of the coupling zone or expanding the nodal domain of influence associated with K-FEM.

헬리콥터의 고속충격소음 감소를 위한 블레이드 평면형상 최적화 (BLADE PLANFORM OPTIMIZATION FOR HSI NOISE REDUCTION OF HELICOPTER)

  • 채상현;양충모;정신규;;;이관중
    • 한국전산유체공학회지
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    • 제14권1호
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    • pp.53-61
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    • 2009
  • The objective of this research is to design blade planform to reduce high speed impulsive(HSI) noise from a non-lifting helicopter rotor using CFD method and optimization techniques. As for the aero-acoustic analysis, CFD technique for aerodynamic analysis and Kirchhoff's method for the acoustic analysis were used. As for the optimization method, Kriging-based genetic algorithm(GA) model as a high-fidelity optimization method was chosen. Design variables and constraints are determined for arbitrary blade planform. The result shows that the optimized blade planform with high swept-back and taper ratio can reduce HSI noise by suppressing generation of the strong shock wave on blade surface and propagation of the noise to the farfield flow region.

실험계획법과 크리깅 근사모델에 의한 게이트밸브 최적화 (Optimization of a Gate Valve using Design of Experiments and the Kriging Based Approximation Model)

  • 강정호;강진;박영철
    • 한국공작기계학회논문집
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    • 제14권6호
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    • pp.125-131
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    • 2005
  • The purpose of this study is an optimization of gate valve made by forging method instead of welding method. In this study, we propose an optimal shape design to improve the mechanical efficiency of gate valve. In order to optimize more efficiently and reliably, the meta-modeling technique has been developed to solve such a complex problems combined with the DACE (Design and Analysis of Computer Experiments). The DACE modeling, known as the one of Kriging interpolation, is introduced to obtain the surrogate approximation model of the function. Also, we prove reliability of the DACE model's application to gate valve by computer simulations using FEM(Finite Element Method).

크리깅 기법을 이용한 원통형 막냉각 홀의 최적설계 (Shape Optimization of Cylindrical Film-Cooling Hole Using Kriging Method)

  • 이기돈;김광용
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2008년도 추계학술대회B
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    • pp.2729-2732
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    • 2008
  • Cylindrical film-cooling hole is formulated numerically and optimized to enhance film-cooling effectiveness. The Kriging method is used an optimization technique with Reynolds-averaged Navier-Stokes analysis of fluid and heat transfer with shear stress transport model. The hole length-to-diameter ratio and injection angle are chosen as design variables and spatially averaged film-cooling effectiveness is considered as objective function which is to be maximized. Twelve training points obtained by Latin Hypercube Sampling for two design variables. Optimum shape shows the film-cooling effectiveness increased.

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Design Exploration of High-Lift Airfoil Using Kriging Model and Data Mining Technique

  • Kanazaki, Masahiro;Yamamoto, Kazuomi;Tanaka, Kentaro;Jeong, Shin-Kyu
    • International Journal of Aeronautical and Space Sciences
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    • 제8권2호
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    • pp.28-36
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    • 2007
  • A multi-objective design exploration for a three-element airfoil consisted of a slat, a main wing, and a flap was carried out. The lift curve improvement is important to design high-lift system, thus design has to be performed with considered multi-angle. The objective functions considered here are to maximize the lift coefficient at landing and near stall conditions simultaneously. Kriging surrogate model which was constructed based on several sample designs is introduced. The solution space was explored based on the maximization of Expected Improvement (EI) value corresponding to objective functions on the Krigingmodels. The improvement of the model and the exploration of the optimum can be advanced at the same time by maximizing EI value. In this study, a total of 90 sample points are evaluated using the Reynolds averaged Navier-Stokes simulation(RANS) for the construction of the Kriging model. In order to obtain the information of the design space, two data mining techniques are applied to design result. One is functional Analysis of Variance(ANOVA) which can show quantitative information and the other is Self-Organizing Map(SOM) which can show qualitative information.

반응표면법과 크리깅의 혼합모델을 이용한 구조설계방법 (A Structural Design Method Using Ensemble Model of RSM and Kriging)

  • 김남희;이권희
    • 한국산학기술학회논문지
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    • 제16권3호
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    • pp.1630-1638
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    • 2015
  • 많은 산업분야에서 구조설계 시 구조성능을 검토하기 위한 유한요소해석은 필수적인 과정이 되었다. 이와 함께, 컴퓨터의 성능도 급속도로 개선되고 있지만 대형 문제의 경우에는 최적설계기법을 적용하는데 한계가 있다. 이러한 대형 문제의 최적화를 위하여 메타모델을 이용한 근사모델을 이용하고 있다. 근사모델을 생성하는 방법은 곡선맞춤법과 내삽법으로 분류할 수 있는데, 반응표면모델과 크리깅 모델이 대표적인 것이다. 그러나 각 모델은 오버피팅이나 언더피팅이 될 수 있는 단점이 있다. 본 연구에서는 반응표면과 크리깅으로 구성되는 혼합모델에 의한 메타모델을 이용하여 구조설계에 적용하고자 한다. 제안된 방법을 2부재 구조물과 자동차용 아우터타이로드의 구조설계에 적용하였다.