Probabilistic design of nuclear structures: a summary of state of the art and research needs

Ravindra, M.K.; Walser, Adolf

doi:10.1016/0029-5493(78)90139-5

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…Currently, the methods considering time-varying uncertainties assume that strength and stress of mechanical parts follow certain probability distributions, respectively, [28][29][30][31] which cannot be used to evaluate dynamic evolution process of time-varying uncertainties. According to this, we attempt to propose a time-varying reliability prediction model based on stochastic differential equation theory which can calculate the reliability index at any time.…”

Section: Reliability Analysis Under Time-varying Uncertaintiesmentioning

confidence: 99%

Multidisciplinary reliability design optimization under time-varying uncertainties

Wang

et al. 2016

Advances in Mechanical Engineering

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Degradation failure is one of the main reasons for complex mechanical systems losing their functions. Research on multidisciplinary design optimization under uncertainties should shift from static uncertainties to time-varying uncertainties. Aiming at time-varying uncertainties in mechanical systems, we put forward a multidisciplinary reliability design optimization method using stochastic process theory. First, we investigated the characteristics of time-varying uncertainties in complex mechanical systems, and then utilized stochastic process theory to quantify time-varying uncertainties. Second, through combining the multidisciplinary simultaneous analysis and design optimization method, the model of multidisciplinary design optimization under time-varying uncertainties is established. Moreover, a mathematical problem and an engineering example are provided to illustrate the accuracy and effectiveness of the proposed method.

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Section: Reliability Analysis Under Time-varying Uncertaintiesmentioning

confidence: 99%