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An effective parametric model reduction technique for uncertainty propagation analysis in structural dynamics
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An effective parametric model reduction technique for uncertainty propagation analysis in structural dynamics (2019)An effective parametric model reduction t…Bayesian updating with subset simulation using artificial neural networks (2017)Bayesian updating with subset…Model-reduction techniques for reliability-based design problems of complex structural systems (2016)Model-reduction techniques fo…On the reliability-based design of structures including passive energy dissipation systems (2011)On the reliability-based desi…Component mode synthesis as a framework for uncertainty analysis (2009)Component mode synthesis as a…Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Latin hypercube sampling and …The Nonlinear Gaussian Spectrum of Log-Normal Stochastic Processes and Variables (1999)The Nonlinear Gaussian Spectr…Probability, statistics, and decision for civil engineers (1970)Simulation of Stochastic Processes by Spectral Representation (1991)Stochastic Finite Elements: A Spectral Approach (1991)Spectral stochastic uncertainty quantification in chemical systems (2004)Assessment of spectral representation and Karhunen–Loève expansion methods for the simulation of Gaussian stochastic fields (2007)Stochastic Finite Elements (2009)Estimation of small failure probabilities in high dimensions by subset simulation (2001)Reliability-based design sensitivity by efficient simulation (2005)Stochastic Programming (2010)Random Fields: Analysis and Synthesis (1983)Computational stochastic mechanics – recent advances (2001)A survey of non-probabilistic uncertainty treatment in finite element analysis (2004)Probabilistic uncertainty analysis of an FRF of a structure using a Gaussian process emulator (2011)Recent advances in uncertainty quantification in structural response characterization and system identification (2023)Computational methods in optimization considering uncertainties – An overview (2008)INTRODUCTION TO STOCHASTIC SEARCH AND OPTIMIZATION: ESTIMATION, SIMULATION, AND CONTROL (2012)A stochastic gradient approach for the reliability maximization of passively controlled structures (2019)New learning functions for active learning Kriging reliability analysis using a probabilistic approach: KO and WKO functions (2023)Reliability analysis of complex systems using subset simulations with Hamiltonian Neural Networks (2024)Empirical Model Building and Response Surfaces (1988)Design and Analysis of Computer Experiments (1989)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A new uncertainty importance measure (2006)Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)A Review on Global Sensitivity Analysis Methods (2015)On the Experimental Attainment of Optimum Conditions (1951)On the Experimental Attainment of Optimum Conditions (1992)Highly efficient Bayesian updating using metamodels: An adaptive Kriging-based approach (2020)BUAK-AIS: Efficient Bayesian Updating with Active learning Kriging-based Adaptive Importance Sampling (2022)Subset simulation with adaptable intermediate failure probability for robust reliability analysis: an unsupervised learning-based approach (2022)
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References

  • 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems2,707 cited
  • 1999The Nonlinear Gaussian Spectrum of Log-Normal Stochastic Processes and Variables130 cited
  • 2009Component mode synthesis as a framework for uncertainty analysis84 cited
  • 2017Bayesian updating with subset simulation using artificial neural networks76 cited
  • 2016Model-reduction techniques for reliability-based design problems of complex structural systems41 cited
  • 2011On the reliability-based design of structures including passive energy dissipation systems38 cited

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