• Title/Summary/Keyword: 안정성 변수

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The past Inflow data Period Validit Analysis Using Seasonal ARIMA Model (계절 ARIMA모형을 이용한 과거 유입량 분석기간 적용성 연구)

  • Kim, Keun-Soon;Lee, Chung-Dea
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.1410-1414
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    • 2010
  • 최근 들어 가뭄과 국지성 호우 등의 기상이변이 지속적으로 발생하고 있으며, 이는 국민 삶의 발전과 향상에 밀접한 관계가 있는 것으로 전세계적으로 이에 대한 관심이 증가하고 있는 추세이다. 특히 댐의 효율적 관리와 안정적인 운영은 홍수피해 방지, 안정적인 용수공급과 같은 국민 생활과 밀접한 관계를 가지고 있어 수자원의 효율적인 운영과 이용은 장기적인 관점을 통하여 수립해야 한다. 이와 같이 댐 유입량의 예측은 유출모형의 목적 중 중요한 부분으로 확정론적 모형이 시 혹은 일유량과 같은 매우 짧은 시간의 유출을 예측하는데 주로 사용되지만 이는 매개변수의 추정이 불가능하거나 실제유역에서의 측정이 불가능 할 경우에는 모형적용에 한계가 있다. 이에 반해 추계학적 모형에 의한 유출예측은 장기간의 유출을 과거자료의 통계학적 특성변수를 매개변수로 하여 예측하는 방법으로 모형의 적용에 필요한 매개변수가 적어 그 적용성이 간편한 장점이 있다. 본 연구에서는 계절형 ARIMA모형을 적용하여 과거자료의 적용범위, 매개변수의 산정, 적합성 판정에 대하여 판단하고, 이 모형이 월유입량의 예측에 적합한지를 검토하였다.

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Dynamic Stability Analysis of a Single Cam Drive Mechanism (단일 캠 구동기구의 동 안정성 해석)

  • 김홍보;전혁수;이종원;박윤식
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.14 no.3
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    • pp.526-533
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    • 1990
  • The dynamic stability of a single cam drive mechanism is investigated by an analytical approach. The nonlinear differential equation describing the motion of a single cam drive mechanism is linearized with respect to the imput power angle, and results a linear parametric differential equation. The instability region is examined by applying the harmonic balance method to linearized parametric equation having periodicity. Through the dynamic stability analysis of a single cam drive mechanism, it is observed that the parametric resonances exist and the instability regions tend to become wide as increasing the drive speed and follower mass.

Mesh Parameterization based on Mean Value Coordinates (중간값 좌표계에 기초한 메쉬 매개변수화)

  • Kim, Hyoung-Seok B.
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.8
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    • pp.1377-1383
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    • 2008
  • Parameterization of a 3D triangular mesh is a fundamental problem in various applications of geometric modeling and computer graphics. There are two major paradigms in mesh parameterization: energy functional minimization and the convex combination approach. In general, the convex combination approach is wifely used because of simple concept and one-to-one mapping. However, the approach has some problems such as high distortion near the boundary and time complexity. Moreover, the stability of the linear system may not be preserved according to the geometric information of the mesh. In this paper, we present an extension of the convex combination approach based on the mean value coordinates, which resolves the drawbacks of the convex combination approach. This may be a more practical solution because it is able to generate a stable linear system in a short time.

Stability Bounds of Unstructured and Time-Varying Delayed State Uncertainties for Discrete Interval Time-Varying System (이산 시변 구간 시스템의 비구조화된 불확실성과 시변 지연시간 상태변수 불확실성의 안정범위)

  • Hyung-seok Han
    • Journal of Advanced Navigation Technology
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    • v.27 no.6
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    • pp.871-876
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    • 2023
  • In this paper, we deal with the stable conditions when two uncertainties exist simultaneously in a linear discrete time-varying interval system with time-varying delay time. The interval system is a system in which system matrices are given in the form of an interval matrix, and this paper targets the system in which the delay time of these interval system matrices and state variables is time-varying. We propose the system stability condition when there is simultaneous unstructured uncertainty that includes nonlinearity and only its magnitude and uncertainty in the system matrix of delayed state variables. The stable bounds for two types of uncertainty are derived as an analytical equation. The proposed stability condition and bounds can include previous stability condition for various linear discrete systems, and the values such as time-varying delay time variation size, uncertainty size, and range of interval matrix are all included in the conditional equation. The new bounds of stability are compared with previous results through numerical example, and its effectiveness and excellence are verified.

Stability Condition for Discrete Interval Time-varying System with Time-varying Delay Time (시변 지연시간을 갖는 이산 구간 시변 시스템의 안정조건)

  • Han, Hyung-seok
    • Journal of Advanced Navigation Technology
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    • v.20 no.5
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    • pp.475-481
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    • 2016
  • In this paper, the new stability condition of linear discrete interval time-varying systems with time-varying delay time is proposed. The considered system has interval time-varying system matrices for both non-delayed and delayed states with time-varying delay time within given interval values. The proposed condition is derived by using Lyapunov stability theory and expressed by very simple inequality. The restricted stability issue on the interval time-invariant system is expanded to interval time-varying system and a powerful stability condition which is more comprehensive than the previous is proposed. As a results, it is possible to avoid the introduction of complex linear matrix inequality (LMI) or upper solution bound of Lyapunov equation in the derivation of sufficient condition. Also, it is shown that the proposed result can include the many existing stability conditions in the previous literatures. A numerical example in the pe revious works is modified to more general interval system and shows the expandability and effectiveness of the new stability condition.

Copula Function Based Multivariate Flood Frequency Analysis (Copula 함수를 이용한 다변량 홍수 빈도해석)

  • Kim, Min ji;Ryou, Min-Suk;Kwon, Hyun-Han
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.82-82
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    • 2017
  • 최근 기후변화로 인해 전 세계적으로 과거와 다른 이상홍수 발생이 빈번하게 발생하여 오래된 수공구조물인 댐, 저수지 붕괴가 우려되는 실정이다. 수공구조물의 수문학적인 안정성을 고려하지 않은 상황에서 댐 붕괴 홍수나 돌발홍수로 발생한 피해는 인명, 재산 및 환경 피해의 정도가 매우 크므로 피해가 발생하기 이전인 수공구조물 설계 시 홍수위험도 평가를 통해 안정성을 확보하는 것이 필요하다. 본 연구에서는 홍수사상의 다양한 변량들의 특성을 고려한 빈도해석을 위하여 Copula 함수를 이용한 다변량 빈도해석 기법을 개발하였다. 즉, 기존 홍수위험도 분석에서 주로 사용되는 첨두홍수량 뿐만 아니라, 홍수지속시간, 홍수체적 등을 고려한 이변량 또는 삼변량 홍수 빈도해석을 수행하고, 기존 홍수위험도와 비교 검토를 수행하고자 한다. 매개변수의 불확실성을 고려하기 위하여 매개변수 추정은 Bayesian 기법을 활용하였다.

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Stability Analysis of Piping System Conveying Unsteady Flow (비정상 유동을 포함한 파이프계의 안정성 해석)

  • 박철희;이우식;홍성철;김태룡
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.15 no.5
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    • pp.1512-1521
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    • 1991
  • 본 연구에서는 유속과 압력등이 시간과 위치의 함수로 표현되는 비정상 유체 가 흐를 때 그 유동 특성이 파이프계에 미치는 영향을 고찰하기 위해 비정상 유동을 포함한 파이프계의 운동방정식을 유도하고 유동 변수가 파이프계의 안정성에 미치는 영향을 연구하였다.

Probability Analysis of Rock Slope Stability using Zoning and Discontinuity Persistence as Parameters (사면의 구역 및 절리의 연장성을 고려한 암반사면의 안정성 확률해석)

  • Jang, Bo-An;Sung, Suk-Kyung;Jang, Hyun-Sic
    • The Journal of Engineering Geology
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    • v.20 no.2
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    • pp.155-167
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    • 2010
  • In analysis of slope stability, deterministic analysis which yields a factor of safety has been used until recently. However, probability of failure is considered as a more efficient method because it deals with the uncertainty and variability of rock mass. In both methods, a factor of safety or a probability of failure is calculated for a slope although characteristics of rock mass, such as characteristics of joints, weathering degree of rock and so on, are not uniform throughout the slope. In this paper, we divided a model slope into several zones depending on conditions of rock mass and joints, and probabilities of failure in each zone are calculated and compared with that calculated in whole slope. The persistence of joint was also used as a parameter in calculation of probability of failure. A rock slope located in Hongcheon, Gangwondo was selected and the probability of failure using zoning and persistence as parameter was calculated to confirm the applicability of model analysis.

A study on the correlation of the structural integrity's reduction factors using parametric analysis (매개변수 해석을 이용한 구조물 건전도 저감 영향인자 상관성 연구)

  • La, You-Sung;Park, Min-Soo;Koh, Sungyil;Kim, Chang-Yong
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.23 no.6
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    • pp.485-502
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    • 2021
  • In order to evaluate the impact of ground subsidence and superstructures that are inevitably caused by tunnel excavation, a total of seven major influencing factors of surface subsidence and structural soundness reduction were set, and a Parameter Study using numerical analysis was conducted. Stability analysis was performed using scheme of Boscardin and Cording method and the maximum subsidence amount and the angular displacement, and correlation analysis was performed for each major influencing factor. In addition, it was applied that used the mutual behavior of the ground and the structure by parameter analysis in the site of the 𐩒𐩒𐩒 tunnel located in Hwaseong-si, Gyeonggi-do, and the applicability of the site was analyzed. As a result, the error was found to be 1.0%, and it could be used as a basic material for determining the appropriate tunnel route under various conditions when evaluating the stability of the structure according to tunnel excavating at the design stage.

Stability analysis of closely-spaced tunnel using RFEM (확률유한요소 해석에 의한 근접터널 안정성 분석)

  • Kim, Sang-Gyun
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.10 no.4
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    • pp.349-360
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    • 2008
  • In this paper, the modeling procedure of random field with an elasto-plastic finite element algorithm and probability of failure on closely-spaced tunnel were investigated. Local average subdivision (LAS) method which can generate discrete random variables fast and accurately as well as change the resolution in certain region was used. And correlated value allocating and weighted average method were suggested to implement geometrical characteristics of tunnel. After the probability of failure on the test problem was thoroughly investigated using random finite element method, the results were compared with the deterministic strength reduction factor method and single random variable method. Of particular importance in this work, is the conclusion that the probability of failure determined by simplified probabilistic analysis, in which spatial variability is ignored by assuming perfect correlation, can be estimated from the safety factor determined by strength reduction factor method. Also, single random variable method can lead to unconservative estimates of the probability of failure.

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