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Implementation of Karhunen–Loeve expansion for simulation using a wavelet-Galerkin scheme
2 references·16 citing·35 second hopsampled
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References

  • 2001Convergence study of the truncated Karhunen–Loeve expansion for simulation of stochastic processes466 cited
  • 2002Simulation of second-order processes using Karhunen–Loeve expansion269 cited

Cited by

  • 2005Simulation of strongly non-Gaussian processes using Karhunen–Loeve expansion259 cited
  • 2006Collocation-based stochastic finite element analysis for random field problems182 cited
  • 2014Modified linear estimation method for generating multi-dimensional multi-variate Gaussian field in modelling material properties151 cited
  • 2011Harmonic wavelets based statistical linearization for response evolutionary power spectrum determination147 cited
  • 2014Practical Application of the Stochastic Finite Element Method144 cited
  • 2007Simulation of simply cross correlated random fields by series expansion methods143 cited
  • 2004On the accuracy of the polynomial chaos approximation140 cited
  • 2007Karhunen–Loéve Expansion of Stochastic Processes with a Modified Exponential Covariance Kernel131 cited
  • 2007Assessment of spectral representation and Karhunen–Loève expansion methods for the simulation of Gaussian stochastic fields126 cited
  • 2019Simulation of non-stationary non-Gaussian random fields from sparse measurements using Bayesian compressive sampling and Karhunen-Loève expansion120 cited
  • 2018An explicit method for simulating non-Gaussian and non-stationary stochastic processes by Karhunen-Loève and polynomial chaos expansion

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100 cited
  • 2017Simulation of multi-dimensional random fields by Karhunen–Loève expansion99 cited
  • 2018An interval finite element method for the analysis of structures with spatially varying uncertainties77 cited
  • 2003Simulation of non-Gaussian processes using fractile correlation72 cited
  • 2018Structural reliability and stochastic finite element methods51 cited
  • 2004Comparison between Karhunen?Loeve and wavelet expansions for simulation of Gaussian processes50 cited