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Real-world engineering problems: Two surrogate methods for robust vibration control of moving mass-beam coupling systems with epistemic uncertainty
16 references·0 citing·53 second hopsampled
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References

  • 2012A Chebyshev interval method for nonlinear dynamic systems under uncertainty304 cited
  • 2015A new surrogate modeling technique combining Kriging and polynomial chaos expansions – Application to uncertainty analysis in computational dosimetry248 cited
  • 2014An active learning kriging model for hybrid reliability analysis with both random and interval variables213 cited
  • 2019Divergence-based cross entropy and uncertainty measures of Atanassov’s intuitionistic fuzzy sets with their application in decision making172 cited
  • 2012Structural reliability analysis on the basis of small samples: An interval quasi-Monte Carlo method155 cited
  • 2013A novel evidence-theory-based reliability analysis method for structures with epistemic uncertainty151 cited
  • 2017Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment144 cited
  • 2016A Critical Assessment of Kriging Model Variants for High-Fidelity Uncertainty Quantification in Dynamics of composite Shells136 cited
  • 2019Uncertainty measure based on Tsallis entropy in evidence theory80 cited
  • 2019Non-probabilistic uncertainty quantification and response analysis of structures with a bounded field model78 cited
  • 2013Reliability Assessment with Fuzzy Random Variables Using Interval Monte Carlo Simulation76 cited
  • 2019Dynamic surrogate modeling approach for probabilistic creep-fatigue life evaluation of turbine disks72 cited
  • 2016

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Unified reliability analysis by active learning Kriging model combining with random‐set based Monte Carlo simulation method
53 cited
  • 2016Interval and random analysis for structure–acoustic systems with large uncertain-but-bounded parameters47 cited
  • 2017A new evidence-theory-based method for response analysis of acoustic system with epistemic uncertainty by using Jacobi expansion44 cited
  • 2012Fuzzy parametric uncertainty analysis of linear dynamical systems: A surrogate modeling approach44 cited
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