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First passage probability estimation of wind turbines by Markov Chain Monte Carlo
11 references·0 citing·41 second hop
First passage probability estimation of wind turbines by Markov Chain Monte Carlo (2012)First passage probability estimation of w…Efficient estimation of first passage probability of high-dimensional nonlinear systems (2011)Efficient estimation of first…Implementing advanced Monte Carlo simulation under spreadsheet environment (2010)Implementing advanced Monte C…Uncertainty analysis of complex structural systems (2009)Uncertainty analysis of compl…The role of the design point for calculating failure probabilities in view of dimensionality and structural nonlinearities (2009)The role of the design point …Subset simulation for structural reliability sensitivity analysis (2008)Subset simulation for structu…Geometric insight into the challenges of solving high-dimensional reliability problems (2008)Geometric insight into the ch…Bayesian inference in probabilistic risk assessment—The current state of the art (2008)Bayesian inference in probabi…Application of spherical subset simulation method and auxiliary domain method on a benchmark reliability study (2007)Application of spherical subs…Benchmark study on reliability estimation in higher dimensions of structural systems – An overview (2006)Benchmark study on reliabilit…Hybrid Subset Simulation method for reliability estimation of dynamical systems subject to stochastic excitation (2005)Hybrid Subset Simulation meth…Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…Random vibration and statistical linearization (1990)Random vibration and statistical linearization (1990)Local Domain Monte Carlo Simulation (2010)Structural reliability and stochastic finite element methods (2018)Computational methods for efficient structural reliability and reliability sensitivity analysis (1994)Reliability of structures in high dimensions, part I: algorithms and applications (2004)Global sensitivity analysis-enhanced surrogate (GSAS) modeling for reliability analysis (2015)Adaptive surrogate model with active refinement combining Kriging and a trust region method (2017)Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review (2023)Simulation and the Monte Carlo Method (1981)The stochastic finite element method: Past, present and future (2008)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)The generalization of Latin hypercube sampling (2015)Simulation and the Monte Carlo Method (2016)Stochastic Finite Elements: A Spectral Approach (1991)Reliability assessment in structural dynamics (2013)A generalized Subset Simulation approach for estimating small failure probabilities of multiple stochastic responses (2014)European Committee for Standardization (2014)Structural Reliability Analysis and Prediction (2017)Reliability sensitivity estimation with sequential importance sampling (2018)Importance sampling in structural systems (1989)Uncertain linear systems in dynamics: Retrospective and recent developments by stochastic approaches (2009)Reliability-Based Multidisciplinary Design Optimization Using Subset Simulation Analysis and Its Application in the Hydraulic Transmission Mechanism Design (2015)Simulation and the Monte Carlo Method (2007)Uncertain static plane stress analysis with interval fields (2016)COSSAN: A Multidisciplinary Software Suite for Uncertainty Quantification and Risk Management (2017)Uncertainty analysis for structures with hybrid random and interval parameters using mathematical programming approach (2017)Important sampling in high dimensions (2002)Cross-entropy-based adaptive importance sampling using von Mises-Fisher mixture for high dimensional reliability analysis (2015)Improved cross entropy-based importance sampling with a flexible mixture model (2019)A critical appraisal of reliability estimation procedures for high dimensions (2004)Bayesian post-processor and other enhancements of Subset Simulation for estimating failure probabilities in high dimensions (2011)Reliability engineering (2011)Accelerated subset simulation with neural networks for reliability analysis (2012)The Concept of Probability in Safety Assessments of Technological Systems (1990)On the application of near accident data to risk analysis of major accidents (2014)An enhanced risk assessment framework for business continuity management systems (2016)Uncertainty handling in fault tree based risk assessment: State of the art and future perspectives (2019)An efficient framework for the elasto-plastic reliability assessment of uncertain wind excited systems (2015)Rare event simulation in finite-infinite dimensional space (2015)Forward and inverse structural uncertainty propagations under stochastic variables with arbitrary probability distributions (2018)
this work references cited by second hop

References

  • 2001Estimation of small failure probabilities in high dimensions by subset simulation2,419 cited
  • 2008Subset simulation for structural reliability sensitivity analysis284 cited
  • 2008Bayesian inference in probabilistic risk assessment—The current state of the art221 cited
  • 2006Benchmark study on reliability estimation in higher dimensions of structural systems – An overview220 cited
  • 2008Geometric insight into the challenges of solving high-dimensional reliability problems172 cited
  • 2009The role of the design point for calculating failure probabilities in view of dimensionality and structural nonlinearities112 cited
  • 2005Hybrid Subset Simulation method for reliability estimation of dynamical systems subject to stochastic excitation101 cited
  • 2010Implementing advanced Monte Carlo simulation under spreadsheet environment96 cited
  • 2007Application of spherical subset simulation method and auxiliary domain method on a benchmark reliability study75 cited
  • 2009Uncertainty analysis of complex structural systems50 cited
  • 2011Efficient estimation of first passage probability of high-dimensional nonlinear systems26 cited

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