• Title/Summary/Keyword: upper and lower bounds of eigenvalues

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Inelastic Analysis of Reinforced Concrete Structure Subjected to Cyclic Loads with Confining Effects of Lateral Tie (횡방향 철근의 구속효과를 고려한 반복하중을 받는 철근콘크리트 부재의 비탄성해석)

  • 유영화;최정호;신현목
    • Journal of the Earthquake Engineering Society of Korea
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    • v.2 no.1
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    • pp.79-93
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    • 1998
  • The eigenvalue problem is presented for the building with added viscoelastic dampers by using component mode method. The Lagrange multiplier formulation is used to derive the eigenvalue problem which is expressed with the natural frequencies of the building, the mode components at which the dampers are added, and the viscoelastic property of the damper. The derived eigenvalue problem has a nonstandard form for determining the eigenvalues. Therefore, the problem is examined by the graphical depiction to give new insight into the eigenvalues for the building with added viscoelastic dampers. Using the present approach the exact eigenvalues can be found and also upper and lower bounds of the eigenvalues can be obtained.

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An Approximate Analysis of a Stochastic Fluid Flow Model Applied to an ATM Multiplexer (ATM 다중화 장치에 적용된 추계적 유체흐름 모형의 근사분석)

  • 윤영하;홍정식;홍정완;이창훈
    • Journal of the Korean Operations Research and Management Science Society
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    • v.23 no.4
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    • pp.97-109
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    • 1998
  • In this paper, we propose a new approach to solve stochastic fluid flow models applied to the analysis of ceil loss of an ATM multiplexer. Existing stochastic fluid flow models have been analyzed by using linear differential equations. In case of large state space, however. analyzing stochastic fluid flow model without numerical errors is not easy. To avoid this numerical errors and to analyze stochastic fluid flow model with large state space. we develope a new computational algorithm. Instead of solving differential equations directly, this approach uses iterative and numerical method without calculating eigenvalues. eigenvectors and boundary coefficients. As a result, approximate solutions and upper and lower bounds are obtained. This approach can be applied to stochastic fluid flow model having general Markov chain structure as well as to the superposition of heterogeneous ON-OFF sources it can be extended to Markov process having non-exponential sojourn times.

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