• 제목/요약/키워드: Uncertainty/Sensitivity Analysis

검색결과 305건 처리시간 0.024초

섭동관측기를 연합한 강인 상태추정기 설계 및 해석 (Design and Analysis of a Robust State Estimator Combining Perturbation Observer)

  • 권상주
    • 제어로봇시스템학회논문지
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    • 제11권6호
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    • pp.477-483
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    • 2005
  • This article describes a robust state estimation method which enables to produce reliable estimates in spite of heavy perturbation including plant uncertainty and external disturbances. The main idea is to combine the standard state estimator with the perturbation observer in the estimator frame. The perturbation observer reflects equivalent quantity of plant uncertainty and external disturbances during the estimation process so that the state estimator dynamics gets as close as possible to the real plant dynamics. The robust state estimator proposed in this paper is given in a recursive discrete-time form which is very useful fur implementation purpose. In terms of the error dynamics derived for the robust state estimator, we discuss the stability issue and noise sensitivity. The effectiveness and practicality of the robust state estimator are verified through numerical examples and experimental results.

광물자원 프로젝트의 기술성 및 경제성 평가 기법 (Technical and Financial evaluation for mineral project)

  • 조성준
    • 한국지구물리탐사학회:학술대회논문집
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    • 한국지구물리탐사학회 2009년도 특별 심포지엄
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    • pp.101-118
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    • 2009
  • In order to invest in overseas mineral projects, it is necessary to have a ability of technical and financial evaluation. Reserve estimation is the most important for mineral appraisal. Geostatistical evaluation of tonnage and grade promises more accurate reserve estimation than traditional methods such as polygon, inverse distance method and so on even if it has some uncertainty. Selection of a mining method and a mineral processing is also important because capex and opcosts of a mineral project is due to the selection. Mineral project is usually evaluated financially using NPV and IRR which are calculated through DCF(Discount Cash Flow). Uncertainty of a mineral project is analyzed statistically using sensitivity analysis and montecarlo simulation.

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Integral nuclear data validation using experimental spent nuclear fuel compositions

  • Gauld, Ian C.;Williams, Mark L.;Michel-Sendis, Franco;Martinez, Jesus S.
    • Nuclear Engineering and Technology
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    • 제49권6호
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    • pp.1226-1233
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    • 2017
  • Measurements of the isotopic contents of spent nuclear fuel provide experimental data that are a prerequisite for validating computer codes and nuclear data for many spent fuel applications. Under the auspices of the Organisation for Economic Co-operation and Development (OECD) Nuclear Energy Agency (NEA) and guidance of the Expert Group on Assay Data of Spent Nuclear Fuel of the NEA Working Party on Nuclear Criticality Safety, a new database of expanded spent fuel isotopic compositions has been compiled. The database, Spent Fuel Compositions (SFCOMPO) 2.0, includes measured data for more than 750 fuel samples acquired from 44 different reactors and representing eight different reactor technologies. Measurements for more than 90 isotopes are included. This new database provides data essential for establishing the reliability of code systems for inventory predictions, but it also has broader potential application to nuclear data evaluation. The database, together with adjoint based sensitivity and uncertainty tools for transmutation systems developed to quantify the importance of nuclear data on nuclide concentrations, are described.

풍하중의 변동성을 고려한 LNG 하역구조물의 신뢰성해석 (Reliability analysis of LNG unloading arm considering variability of wind load)

  • 김동현;임종권;고재필
    • 한국강구조학회 논문집
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    • 제19권2호
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    • pp.223-231
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    • 2007
  • 풍속의 확률분포를 고려한 통영생산기지 LNG 하역설비인 Unloading arm의 신뢰성해석을 수행하였다. 기상대의 풍속 관측기록을 이용하여 풍속의 극치분포를 추정하였으며 구조물에 가해지는 풍하중은 풍속과 풍압계수를 적용한 분포하중으로 고려하였다. 하역설비는 판요소와 입체요소를 이용하여 모델링하였고 지면접촉부는 접촉요소를 이용하여 압축력에만 저항하도록 하였다. 신뢰성해석을 위해서 주요부위의 최대응력을 표현하는 응답면을 구하였으며 이 값이 허용응력 및 항복응력을 초과하는지의 여부를 신뢰함수로 정의하여 파괴확률을 구하였다. 또한, 재료강도의 저하가 파괴확률에 미치는 영향을 파악하기 위하여 민감도 분석을 수행하였다.

An Application of Realistic Evaluation Model to the Large Break LOCA Analysis of Ulchin 3&4

  • C. H. Ban;B. D. Chung;Lee, K. M.;J. H. Jeong;S. T. Hwang
    • 한국원자력학회:학술대회논문집
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    • 한국원자력학회 1996년도 춘계학술발표회논문집(2)
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    • pp.429-434
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    • 1996
  • K-REM[1], which is under development as a realistic evaluation model of large break LOCA, is applied to the analysis of cold leg guillotine break of Ulchin 3&4. Fuel parameters on which statistical analysis of their effects on the peak cladding temperature (PCT) are made and system parameters on which the concept of limiting value approach (LVA) are applied, are determined from the single parameter sensitivity study. 3 parameters of fuel gap conductance, fuel thermal conductivity and power peaking factor are selected as fuel related ones and 4 parameters of axial power shape, reactor power, decay heat and the gas pressure of safety injection tank (SIT) are selected as plant system related ones. Response surface of PCT is generated from the plant calculation results and on which Monte Carlo sampling is made to get plant application uncertainty which is statistically combined with code uncertainty to produce the 95th percentile PCT. From the break spectrum analysis, blowdown PCT of 1350.23 K and reflood PCT of 1195.56 K are obtained for break discharge coefficients of 0.8 and 0.5, respectively.

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Uncertainty and sensitivity analysis in reactivity-initiated accident fuel modeling: synthesis of organisation for economic co-operation and development (OECD)/nuclear energy agency (NEA) benchmark on reactivity-initiated accident codes phase-II

  • Marchand, Olivier;Zhang, Jinzhao;Cherubini, Marco
    • Nuclear Engineering and Technology
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    • 제50권2호
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    • pp.280-291
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    • 2018
  • In the framework of OECD/NEA Working Group on Fuel Safety, a RIA fuel-rod-code Benchmark Phase I was organized in 2010-2013. It consisted of four experiments on highly irradiated fuel rodlets tested under different experimental conditions. This benchmark revealed the need to better understand the basic models incorporated in each code for realistic simulation of the complicated integral RIA tests with high burnup fuel rods. A second phase of the benchmark (Phase II) was thus launched early in 2014, which has been organized in two complementary activities: (1) comparison of the results of different simulations on simplified cases in order to provide additional bases for understanding the differences in modelling of the concerned phenomena; (2) assessment of the uncertainty of the results. The present paper provides a summary and conclusions of the second activity of the Benchmark Phase II, which is based on the input uncertainty propagation methodology. The main conclusion is that uncertainties cannot fully explain the difference between the code predictions. Finally, based on the RIA benchmark Phase-I and Phase-II conclusions, some recommendations are made.

구조물의 최적안전지수와 생애주기비용의 상관관계에 관한 연구 (A Study on the Correlation between Optimal Safety of Structures and Minimization of Life Cycle Cost(LCC))

  • 방명석
    • 한국안전학회지
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    • 제29권6호
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    • pp.94-98
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    • 2014
  • 본 연구는 구조물의 최적안전수준과 수명기간동안 투자되는 총비용과의 상관관계를 연구하였다. 설계, 건설 및 공용 중 투자되는 총비용을 최소화하면서 최적의 안전수준을 결정하기 위하여 신뢰성해석을 수행하였다. 신뢰성해석에는 설계인자들의 불확실성과 설계 및 공사, 유지관리를 수행하는 인간의 오류 등 인적 불확실성을 확률변수로 고려하였다. 이러한 확률해석을 통한 안전지수와 생애주기비용의 상관관계를 연구하고, 생애주기비용의 분산도에 따른 안전지수의 민감도해석을 통하여 최적의 안전수준을 결정하였다. 해석결과는 이러한 평가방법이 교통시설물에 투자되는 비용을 최소화하면서 최적의 안전수준을 결정할 수 있는 정확하고 유용한 방법임을 보여주었다.

Seismic reliability assessment of base-isolated structures using artificial neural network: operation failure of sensitive equipment

  • Moeindarbari, Hesamaldin;Taghikhany, Touraj
    • Earthquakes and Structures
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    • 제14권5호
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    • pp.425-436
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    • 2018
  • The design of seismically isolated structures considering the stochastic nature of excitations, base isolators' design parameters, and superstructure properties requires robust reliability analysis methods to calculate the failure probability of the entire system. Here, by applying artificial neural networks, we proposed a robust technique to accelerate the estimation of failure probability of equipped isolated structures. A three-story isolated building with susceptible facilities is considered as the analytical model to evaluate our technique. First, we employed a sensitivity analysis method to identify the critical sources of uncertainty. Next, we calculated the probability of failure for a particular set of random variables, performing Monte Carlo simulations based on the dynamic nonlinear time-history analysis. Finally, using a set of designed neural networks as a surrogate model for the structural analysis, we assessed once again the probability of the failure. Comparing the obtained results demonstrates that the surrogate model can attain precise estimations of the probability of failure. Moreover, our proposed approach significantly increases the computational efficiency corresponding to the dynamic time-history analysis of the structure.

A Techno-Economic Feasibility Analysis on LVDC Distribution System for Rural Electrification in South Korea

  • Afamefuna, David;Chung, Il-Yop;Hur, Don;Kim, Ju-Yong;Cho, Jintae
    • Journal of Electrical Engineering and Technology
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    • 제9권5호
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    • pp.1501-1510
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    • 2014
  • Low voltage direct current (LVDC) distribution system is a suitable techno-economic candidate which can create an innovative solution for distribution network development with respect to rural electrification. This research focuses on the use of LVDC distribution system to replace some of KEPCO's existing traditional medium voltage alternating current (MVAC) distribution network for rural electrification in South Korea. Considering the technical and economic risks and benefits involved in such project, a comparative techno-economic analysis on the LVDC and the MVAC distribution networks is conducted using economic assessment method such as the net present value (NPV) on a discounted cash flow (DCF) basis as well as the sensitivity analysis technique. Each would play a role in an economic performance indicator and a measure of uncertainty and risk involved in the project. In this work, a simulation model and a computational tool are concurrently developed and employed to aid the techno-economic analysis, evaluation, and estimation of the various systems efficiency and/or performance.