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Frequency Response-Based Uncertainty Analysis of Vibration System Utilizing Multiple Response Gaussian Process
9 references·0 citing·41 second hopsampled
Frequency Response-Based Uncertainty Analysis of Vibration System Utilizing Multiple Response Gaussian Process (2019)Frequency Response-Based Uncertainty Anal…Stochastic structural dynamic analysis using Bayesian emulators (2013)Stochastic structural dynamic…Explicit frequency response functions of discretized structures with uncertain parameters (2013)Explicit frequency response f…Characterization of Dynamic Response of Structures With Uncertainty by Using Gaussian Processes (2013)Characterization of Dynamic R…Quantification of Model Uncertainty: Calibration, Model Discrepancy, and Identifiability (2012)Quantification of Model Uncer…Improving Identifiability in Model Calibration Using Multiple Responses (2012)Improving Identifiability in …Probabilistic uncertainty analysis of an FRF of a structure using a Gaussian process emulator (2011)Probabilistic uncertainty ana…Approximate Bayesian inference for large spatial datasets using predictive process models (2011)Approximate Bayesian inferenc…Component mode synthesis as a framework for uncertainty analysis (2009)Component mode synthesis as a…L atin Hypercube Sampling (2008)L atin Hypercube SamplingStochastic Finite Elements: A Spectral Approach (1991)A nonparametric model of random uncertainties for reduced matrix models in structural dynamics (2000)Uncertainty quantification of machining simulations using an in situ emulator (2018)Uncertainty propagation in dynamic sub-structuring by model reduction integrated domain decomposition (2020)Uncertainty Quantification of Mode Shape Variation Utilizing Multi-Level Multi-Response Gaussian Process (2020)Design and Analysis of Computer Experiments (1989)STATISTICS FOR SPATIAL DATA (1992)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Reliability Analysis With Monte Carlo Simulation and Dependent Kriging Predictions (2016)A Tutorial on Bayesian Inference to Identify Material Parameters in Solid Mechanics (2019)Modeling, analysis, and optimization under uncertainties: a review (2021)Neumann Expansion for Stochastic Finite Element Analysis (1988)A survey of non-probabilistic uncertainty treatment in finite element analysis (2004)Explicit reliability sensitivities of linear structures with interval uncertainties under stationary stochastic excitation (2014)Optimization and anti-optimization solution of combined parameterized and improved interval analyses for structures with uncertainties (2014)Uncertain Frequency Responses of Clamp-Pipeline Systems Using an Interval-Based Method (2020)Statistics for Spatial Data. (1993)Selection of model discrepancy priors in Bayesian calibration (2014)Uncertainty quantification in multiscale simulation of woven fiber composites (2018)Review of statistical model calibration and validation—from the perspective of uncertainty structures (2019)Random Fields: Analysis and Synthesis (1983)Computational stochastic mechanics – recent advances (2001)Model-reduction techniques for reliability-based design problems of complex structural systems (2016)Recent advances in uncertainty quantification in structural response characterization and system identification (2023)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Adaptive Gaussian predictive process models for large spatial datasets (2011)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)Approximate Bayesian inference for spatial econometrics models (2014)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Comput. Methods Appl. Mech. Engrg. (2010)Review and comparison of two meta-model-based uncertainty propagation analysis methods in groundwater applications: polynomial chaos expansion and Gaussian process emulation (2018)Uncertainty propagation of frequency response functions using a multi-output Gaussian Process model (2019)The Design and Analysis of Computer Experiments (2003)Polynomial Correlated Function Expansion for Nonlinear Stochastic Dynamic Analysis (2014)Improve the Accuracy of Asymptotic Approximation in Reliability Problems Involving Multimodal Distributions (2016)Polynomial Correlated Function Expansion (2016)A distribution-free approach to inducing rank correlation among input variables (1982)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Extended Monte Carlo Simulation for Parametric Global Sensitivity Analysis and Optimization (2014)Robust optimal design of tuned mass dampers for tall buildings with uncertain parameters (2014)Assessment of uncertainty and sensitivity analyses for ORYZA model under different ranges of parameter variation (2017)
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References

  • 2012Quantification of Model Uncertainty: Calibration, Model Discrepancy, and Identifiability332 cited
  • 2008L atin Hypercube Sampling200 cited
  • 2012Improving Identifiability in Model Calibration Using Multiple Responses136 cited
  • 2009Component mode synthesis as a framework for uncertainty analysis84 cited
  • 2011Approximate Bayesian inference for large spatial datasets using predictive process models68 cited
  • 2011Probabilistic uncertainty analysis of an FRF of a structure using a Gaussian process emulator61 cited
  • 2013Explicit frequency response functions of discretized structures with uncertain parameters46 cited
  • 2013Stochastic structural dynamic analysis using Bayesian emulators36 cited
  • 2013Characterization of Dynamic Response of Structures With Uncertainty by Using Gaussian Processes34 cited

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