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An efficient sampling scheme: Updated Latin Hypercube Sampling
4 references·16 citing·36 second hop
An efficient sampling scheme: Updated Latin Hypercube Sampling (1992)An efficient sampling scheme: Updated Lat…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…A distribution-free approach to inducing rank correlation among input variables (1982)A distribution-free approach …Small sample sensitivity analysis techniques for computer models.with an application to risk assessment (1980)Small sample sensitivity anal…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A Comparison of Three Methods…Aleatory uncertainty quantification based on multi-fidelity deep neural networks (2024)Aleatory uncertainty quantifi…Recent advances in uncertainty quantification in structural response characterization and system identification (2023)Recent advances in uncertaint…Two-step translation method for time-dependent reliability of structures subject to both continuous deterioration and sudden events (2020)Two-step translation method f…Comparative Study of Structural Reliability Assessment Methods for Offshore Wind Turbine Jacket Support Structures (2020)Comparative Study of Structur…Metamodels of optimal quality for stochastic structural optimization (2017)Metamodels of optimal quality…Latin Hypercube Sampling (2016)Latin Hypercube SamplingNew Sampling Method and Procedures for Estimating Failure Probability (2015)New Sampling Method and Proce…Application of Latin Hypercube Sampling Based Kriging Surrogate Models in Reliability Assessment (2015)Application of Latin Hypercub…Stochastic modeling of flexible rotors (2012)Stochastic modeling of flexib…Robustness of structural reliability analyses to epistemic uncertainties (2012)Robustness of structural reli…Constructing nearly orthogonal latin hypercubes for any nonsaturated run-variable combination (2012)Constructing nearly orthogona…Evaluating the response statistics of an uncertain bridge–vehicle system (2011)Evaluating the response stati…Dynamic analysis of bridge–vehicle system with uncertainties based on the finite element model (2010)Dynamic analysis of bridge–ve…Dynamic analysis of bridge with non-Gaussian uncertainties under a moving vehicle (2010)Dynamic analysis of bridge wi…Computational framework for long-term reliability analysis of RC structures (2004)Computational framework for l…Sensitivity Analysis of Time-Dependent Behavior in PSC Box Girder Bridges (2000)Sensitivity Analysis of Time-…Stochastic Finite Elements: A Spectral Approach (1991)Modal approaches for the stochastic finite element analysis of structures with material and geometric uncertainties (2003)Analysing the dynamic response of a rotor system under uncertain parameters by polynomial chaos expansion (2011)Nonparametric Stochastic Modeling of Structural Uncertainty in Rotordynamics: Unbalance and Balancing Aspects (2013)Uncertainty quantification techniques applied to rotating systems: A comparative study (2017)Surrogate modeling for dynamic analysis of an uncertain notched rotor system and roles of Chebyshev parameters (2022)Digital simulation of random processes and its applications (1972)A state-of-the-art report on computational stochastic mechanics (1997)The variability of dynamic responses of beams resting on elastic foundation subjected to vehicle with random system parameters (2018)A New Approach for Interval Dynamic Analysis of Train-Bridge System Based on Bayesian Optimization (2020)Efficient non-stationary random vibration analysis of vehicle-bridge system based on an improved explicit time-domain method (2021)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Correlation and Dependence in Risk Management: Properties and Pitfalls (2002)Making best use of model evaluations to compute sensitivity indices (2002)Latin hypercube sampling and the propagation of 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References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,766 cited
  • 1982A distribution-free approach to inducing rank correlation among input variables1,625 cited
  • 1980Small sample sensitivity analysis techniques for computer models.with an application to risk assessment837 cited

Cited by

  • 2011Evaluating the response statistics of an uncertain bridge–vehicle system61 cited
  • 2010Dynamic analysis of bridge–vehicle system with uncertainties based on the finite element model50 cited
  • 2012Stochastic modeling of flexible rotors45 cited
  • 2020Comparative Study of Structural Reliability Assessment Methods for Offshore Wind Turbine Jacket Support Structures42 cited
  • 2012Constructing nearly orthogonal latin hypercubes for any nonsaturated run-variable combination42 cited
  • 2010Dynamic analysis of bridge with non-Gaussian uncertainties under a moving vehicle41 cited
  • 2023Recent advances in uncertainty quantification in structural response characterization and system identification40 cited
  • 2000Sensitivity Analysis of Time-Dependent Behavior in PSC Box Girder Bridges32 cited
  • 2020Two-step translation method for time-dependent reliability of structures subject to both continuous deterioration and sudden events

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29 cited
  • 2016Latin Hypercube Sampling26 cited
  • 2024Aleatory uncertainty quantification based on multi-fidelity deep neural networks25 cited
  • 2012Robustness of structural reliability analyses to epistemic uncertainties24 cited
  • 2017Metamodels of optimal quality for stochastic structural optimization24 cited
  • 2015Application of Latin Hypercube Sampling Based Kriging Surrogate Models in Reliability Assessment22 cited
  • 2004Computational framework for long-term reliability analysis of RC structures22 cited
  • 2015New Sampling Method and Procedures for Estimating Failure Probability20 cited