Uncertainty analysis of nonlinear systems employing the first-order reliability method

  • Choi, Chan Kyu
  • Yoo, Hong Hee
Citations

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18
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24

초록

In most mechanical systems, properties of the system elements have uncertainties due to several reasons. For example, mass, stiffness coefficient of a spring, damping coefficient of a damper or friction coefficients have uncertain characteristics. The uncertain characteristics of the elements have a direct effect on the system performance uncertainty. It is very important to estimate the performance uncertainty since the performance uncertainty is directly related to manufacturing yield and consumer satisfaction. Due to this reason, the performance uncertainty should be estimated accurately and considered in the system design. In this paper, performance measures are defined for nonlinear vibration systems and the performance measure uncertainties are estimated employing the first order reliability method (FORM). It was found that the FORM could provide good results in spite of the system nonlinear characteristics. Comparing to the results obtained by Monte Carlo Simulation (MCS), the accuracy of the uncertainty analysis results obtained by the FORM is validated.

키워드

First order reliability method (FORM)Nonlinear vibration systemPerformance measureUncertainty analysisComputer simulationDampingElectric excitersFrictionMechanical propertiesMonte Carlo methodsNonlinear analysisReliability analysisStructural analysisSystems analysisDamping coefficientsFirst order reliability methodsFriction coefficientsManufacturing yieldMechanical systemsMonte Carlo SimulationNonlinear characteristicsNonlinear vibration systemsPerformance measureStiffness coefficientsSystem elementsUncertainty analysis
제목
Uncertainty analysis of nonlinear systems employing the first-order reliability method
저자
Choi, Chan KyuYoo, Hong Hee
DOI
10.1007/s12206-011-1011-x
발행일
2012-01
유형
Article
저널명
Journal of Mechanical Science and Technology
26
1
페이지
39 ~ 44