• Title/Summary/Keyword: Numerical errors

검색결과 875건 처리시간 0.024초

CFD 해석결과 검증을 위한 불확실도 연구 (THE INVESTIGATION OF UNCERTAINTY FOR THE CFD RESULT VALIDATION)

  • 이진희;양영록;신성민;명노신;조태환
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 2008년 추계학술대회논문집
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    • pp.79-83
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    • 2008
  • An approach to CFD code validation is developed that gives proper consideration to experimental and simulation uncertainties. The comparison errors include the difference between the data, simulation values and represents the combination of all errors. The uncertainties of modeling and numerical analysis in the CFD prediction were estimated by a Coleman's theory. In this paper, the numerical solutions are calculated by A-type standard uncertainty and Richardson extrapolation Method.

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내륙 수온과 MODIS 지표 온도 데이터의 비교 평가 (Comparison of MODIS Land Surface Temperature and Inland Water Temperature)

  • 나유경;김주원;임은하;박우정;김민준;최진무
    • 한국지역지리학회지
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    • 제19권2호
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    • pp.352-361
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    • 2013
  • 기상 현상을 예측하는 수치예보모델의 주요한 기초 입력 데이터로 토지이용, 지형, 식생, 지표 온도 등이 있다. 이 중 지표 온도의 일부인 내륙 수면 온도에 대한 지상 관측 데이터는 강이나 호수의 일부 지역에만 존재한다. 따라서 본 연구는 수치예보모델의 입력 데이터인 내륙 수면 온도로 활용할 수 있는 MODIS 위성영상의 지표 온도 데이터의 오차정도를 확인하기 위해 국내 내륙 수온 지상 관측 데이터와 비교 분석하였다. 이를 위해 2011년 7월부터 2012년 6월까지 약 1년의 MODIS Land Surface Temperature(LST) 데이터와 수질자동측정망의 수온 데이터를 비교하였다. MODIS 데이터는 주간 및 야간 데이터로 구성되는 데, 각각의 월 평균 오차는 $2^{\circ}{\sim}8^{\circ}C$, $3^{\circ}{\sim}12^{\circ}C$로 주간 데이터의 오차가 작았다. 특히, 주간 데이터의 오차는 가을에 $2^{\circ}C$로 다른 계절에 비해 작았고, 야간 데이터는 여름에 $3^{\circ}C$로 다른 계절에 비해 작았다. 또한 지역적으로는 한강, 낙동강, 금강, 영산강의 4대강을 비교한 결과 가장 남쪽에 있는 영산강 유역에서 가장 오차가 작았다. 본 연구를 통해 수치예보모델의 입력 데이터로 활용함에 있어 MODIS 지표 온도 데이터의 오차 정도를 확인할 수 있었다. 연구 결과는 아시아 지역에 대해 수치예보모델을 운용할 때 북한 및 해외 지역에 대해 MODIS 지표 온도 데이터를 활용함에 있어 그 오차 정도의 기준이 될 수 있을 것이다.

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A Validation Method for Solution of Nonlinear Differential Equations: Construction of Exact Solutions Neighboring Approximate Solutions

  • Lee, Sang-Chul
    • International Journal of Aeronautical and Space Sciences
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    • 제3권2호
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    • pp.46-58
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    • 2002
  • An inverse method is introduced to construct benchmark problems for the numerical solution of initial value problems. Benchmark problems constructed through this method have a known exact solution, even though analytical solutions are generally not obtainable. The solution is constructed such that it lies near a given approximate numerical solution, and therefore the special case solution can be generated in a versatile and physically meaningful fashion and can serve as a benchmark problem to validate approximate solution methods. A smooth interpolation of the approximate solution is forced to exactly satisfy the differential equation by analytically deriving a small forcing function to absorb all of the errors in the interpolated approximate solution. A multi-variable orthogonal function expansion method and computer symbol manipulation are successfully used for this process. Using this special case exact solution, it is possible to directly investigate the relationship between global errors of a candidate numerical solution process and the associated tuning parameters for a given code and a given problem. Under the assumption that the original differential equation is well-posed with respect to the small perturbations, we thereby obtain valuable information about the optimal choice of the tuning parameters and the achievable accuracy of the numerical solution. Illustrative examples show the utility of this method not only for the ordinary differential equations (ODEs) but for the partial differential equations (PDEs).

차륜형 이동로봇의 방향각오차를 이용한 오도메트리 정밀보정기법 (Accurate Calibration of Odometry Errors for Wheeled Mobile Robots by using Experimental Orientation Errors)

  • 정창배;정다운;정우진
    • 한국정밀공학회지
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    • 제31권4호
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    • pp.319-326
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    • 2014
  • Accurate estimation of the robot's position has an important role in autonomous navigation. Odometry is one of the most widely used techniques for mobile robot positioning. However, odometry has a well-known drawback that the position errors are accumulated when the travel distance increases. The UMBmark method is the conventional odometry calibration scheme for two wheel differential mobile robots. In the UMBmark method, the approximations for small angles are used in order to simplify the calculations. In this paper, we propose the new calibration scheme by using experimental orientation errors. Kinematic parameters can be calculated accurately without approximations by using experimental orientation errors. The numerical simulation and experimental results show that the odometry accuracy can be improved by the proposed method.

파라메타 오차에 강인한 독립모달공간 제어기법에 대한 연구 (A Study on the Robust Controller in Independent Modal space for Parameter Errors)

  • 황재혁;김준수;박대성;박명호
    • 소음진동
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    • 제6권5호
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    • pp.595-605
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    • 1996
  • If the control force designed on the basis of the mathematical model with parameter errors is applied to control the actual system, the closed-loop performance of the actual system will be degraded depending on the degree of the errors, In this study, the effect of parameter errors on the robustness of several natural controls has been analyzed and compared. Every asymptoic stability condition for the natural controls has been derived using Lyapunov approach, and the characteristics of the stability conditions has also been compared. The extent of deviation of the closed-loop performance from the designed one for the natural controls is derived using operator techniques, and evaluated by numerical method. It has been found that the optimal control, acceleration feedback control, and acceleration-position feedback control among the considered natural controls would be robust one with respect to the parameter errors.

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다중 고장 유형과 불완전 수정하에서의 소프트웨어 신뢰도 모델 (Modeling Software Relability with Multiple Failure types and Imperfect Debugging)

  • 문숙경
    • 품질경영학회지
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    • 제26권1호
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    • pp.99-107
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    • 1998
  • This paper presents a software reliability model that is based on a nonhomogeneous poisson process. The major contribution of this model is combining multiple failure types with imperfect debugging by use of S-shaped mean value function. The software reliability model allows for three different types of errors: Critical errors are the most difficult to detect and the most expensive to remove. Major errors are moderately difficult to detect and fairly expensive to remove. Minor errors are easy to detect and inexpensive to remove. The model also allows for the introduction of any of these types of errors during the removal of an error. A numerical example is provided to illustrate the above techniques.

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태풍 진로예측을 위한 다중모델 선택 컨센서스 기법 개발 (Development of the Selected Multi-model Consensus Technique for the Tropical Cyclone Track Forecast in the Western North Pacific)

  • 전상희;이우정;강기룡;윤원태
    • 대기
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    • 제25권2호
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    • pp.375-387
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    • 2015
  • A Selected Multi-model CONsensus (SMCON) technique was developed and verified for the tropical cyclone track forecast in the western North Pacific. The SMCON forecasts were produced by averaging numerical model forecasts showing low 70% latest 6 h prediction errors among 21 models. In the homogeneous comparison for 54 tropical cyclones in 2013 and 2014, the SMCON improvement rate was higher than the other forecasts such as the Non-Selected Multi-model CONsensus (NSMCON) and other numerical models (i.e., GDAPS, GEPS, GFS, HWRF, ECMWF, ECMWF_H, ECMWF_EPS, JGSM, TEPS). However, the SMCON showed lower or similar improvement rate than a few forecasts including ECMWF_EPS forecasts at 96 h in 2013 and at 72 h in 2014 and the TEPS forecast at 120 h in 2013. Mean track errors of the SMCON for two year were smaller than the NSMCON and these differences were 0.4, 1.2, 5.9, 12.9, 8.2 km at 24-, 48-, 72-, 96-, 120-h respectively. The SMCON error distributions showed smaller central tendency than the NSMCON's except 72-, 96-h forecasts in 2013. Similarly, the density for smaller track errors of the SMCON was higher than the NSMCON's except at 72-, 96-h forecast in 2013 in the kernel density estimation analysis. In addition, the NSMCON has lager range of errors above the third quantile and larger standard deviation than the SMCON's at 72-, 96-h forecasts in 2013. Also, the SMCON showed smaller bias than ECMWF_H for the cross track bias. Thus, we concluded that the SMCON could provide more reliable information on the tropical cyclone track forecast by reflecting the real-time performance of the numerical models.

ADCP 계기 부근에서 발생하는 관측 오차의 실험 및 수치모의에 의한 고찰 (Investigation of Near.Transducer Errors in Acoustic Doppler Current Profiler Measurements Using Experimental and Numerical Method)

  • 김동수;강부식
    • 한국산학기술학회논문지
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    • 제12권2호
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    • pp.944-951
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    • 2011
  • 본 논문은 ADCP 계측기기 부근에서 음향학적인 그리고 ADCP 계기로 인해 발생하는 흐름의 교란에 기인한 속도 오차에 대한 원인들을 실험 및 수치모의를 통해 고찰한다. 실험실에서의 연구는 선박에 탑재되지 않은 독립된 ADCP에 대해 수행하였고, 수평 및 수직면에서 ADCP에 의해 유발되는 흐름 교란은 ADV를 이용하여 관측하였다. 그리고 ADCP와 ADV의 동시적 측정이 ADCP계측에 있어 추가적인 계측기기 부근의 영향들을 고려하기 위해 수행되었다. 수치모의는 ADCP가 선박에 탑재되었을 때 ADCP 계기 부근에 발생하는 잠재적인 오차에 대해 연구하기 위해 설계되었다. 수치해석 기법 사용된 LES (Large Eddy Simulation)는 선박에 탑재된 ADCP에 작용하는 항력과 계기와 선박의 막음효과에 의해 발생하는 흐름의 교란의 크기와 범위를 모의하였다. 결과로 ADCP에 의해 관측된 속도는 계측기기 하단의 제한된 범위 내에서 일정 정도 오차를 보였고 교란되지 않은 하천의 흐름 조건에 따라 오차가 실질적으로 다르게 나타났다.

충격햄머 실험에 의한 1자유도 주파수응답함수의 오차와 해결방법 (The Errors and Reducing Method in 1-dof Frequency Response Function from Impact Hammer Testing)

  • 안세진;정의봉
    • 한국소음진동공학회논문집
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    • 제12권9호
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    • pp.702-708
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    • 2002
  • The spectrum of impulse response signal from an impulse hammer testing is widely used to obtain frequency response function(FRF). However the FRFs obtained from impact hammer testing have not only leakage errors but also finite record length errors when the record length for the signal processing is not sufficiently long. The errors cannot be removed with the conventional signal analyzer which treats the signals as if they are always steady and periodic. Since the response signals generated by the impact hammer are transient and have damping, they are undoubtedly non-periodic. It is inevitable that the signals be acquired for limited recording time, which causes the errors. This paper makes clear the relation between the errors of FRF and the length of recording time. A new method is suggested to reduce the errors of FRF in this paper. Several numerical examples for 1-dof model are carried out to show the property of the errors and the validity of the proposed method.

간섭계에 있어서의 계통 오차의 자율 교정 알고리즘 (Self-calibration Algorithm of Systematic Errors For Interferometer)

  • 후지모토 이쿠마츠;이태용
    • 한국정밀공학회지
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    • 제22권5호
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    • pp.63-71
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    • 2005
  • When an almost flat surface under test is measured by an interferometer, the measurement result is largely influenced by systematic errors that include geometrical errors of a reference flat surface. To determine the systematic errors of the interferometer by the conventional method that is called the three flat method, we must take the reference flat surface out from the interferometer and measure it. Because of difficulties to set the reference flat surface to the interferometer exactly and quickly, this method is not practical. On the other hand, the method that measures a surface under test with some shifts in the direction being perpendicular to the optical axis of the interferometer is studied. However, the parasitic pitching, rolling and up-down movement caused by the above shifts brings serious error to the measurement result, and the algorithm by which the influences can be eliminated is not still established. In this paper, we propose the self-calibration algorithm for determining the systematic errors that include geometrical errors of a reference flat surface by several rotation shifts and a linear shift of general surface under test, and verify by a numerical experiment that this algorithm is useful for determining the systematic errors.