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Time-varying reliability and global sensitivity analysis of regenerative chatter stability in turning considering tool wear
16 references·0 citing·37 second hop
Time-varying reliability and global sensitivity analysis of regenerative chatter stability in turning considering tool wear (2020)Time-varying reliability and global sensi…A new direct second-order reliability analysis method (2017)A new direct second-order rel…A method for estimating the reliability of structural systems with moment-matching and copula concept (2017)A method for estimating the r…Time-Dependent Reliability of Random Dynamic Systems Using Time-Series Modeling and Importance Sampling (2011)Time-Dependent Reliability of…AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)AK-MCS: An active learning re…Moment-independent importance measure of basic random variable and its probability density evolution solution (2010)Moment-independent importance…How to avoid a perfunctory sensitivity analysis (2010)How to avoid a perfunctory se…Frequency Reliability Sensitivity for Dynamic Structural Systems# (2010)Frequency Reliability Sensiti…Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)Efficient Global Reliability …Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)Survey of sampling-based meth…A new uncertainty importance measure (2006)A new uncertainty importance …The PHI2 method: a way to compute time-variant reliability (2003)The PHI2 method: a way to com…Sensitivity Analysis for Importance Assessment (2002)Sensitivity Analysis for Impo…On the Relative Importance of Input Factors in Mathematical Models (2002)On the Relative Importance of…Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Factorial Sampling Plans for Preliminary Computational Experiments (1991)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)A simple and efficient method for global sensitivity analysis based on cumulative distribution functions (2015)Variable importance analysis: A comprehensive review (2015)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)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)Response Surface Methodology (1996)A Review on Global Sensitivity Analysis Methods (2015)Stochastic Finite Elements: A Spectral Approach (1991)Structural Reliability Methods (1996)Kriging metamodeling in simulation: A review (2007)Metamodel-based importance sampling for structural reliability analysis (2013)LIF: A new Kriging based learning function and its application to structural reliability analysis (2016)Statistics for Experimenters (1979)Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences (1994)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)“Opening Up” and “Closing Down” (2007)Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)Structural reliability under combined random load sequences (1978)Designs for Computer Experiments (1989)Probability, reliability and statistical methods in engineering design (1999)DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)Optimal Discretization of Random Fields (1993)Analytical derivation of the outcrossing rate in time-variant reliability problems (2008)A Single-Loop Kriging Surrogate Modeling for Time-Dependent Reliability Analysis (2016)Time-Dependent Reliability Analysis Through Response Surface Method (2017)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)From screening to quantitative sensitivity analysis. A unified approach (2011)
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References

  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 2001Estimation of small failure probabilities in high dimensions by subset simulation2,419 cited
  • 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation2,048 cited
  • 2002Sensitivity Analysis for Importance Assessment1,303 cited
  • 2006Survey of sampling-based methods for uncertainty and sensitivity analysis1,240 cited
  • 2008Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions1,141 cited
  • 2006A new uncertainty importance measure1,030 cited
  • 2010How to avoid a perfunctory sensitivity analysis1,000 cited
  • 2003The PHI2 method: a way to compute time-variant reliability460 cited
  • 2002On the Relative Importance of Input Factors in Mathematical Models447 cited
  • 2017A new direct second-order reliability analysis method190 cited
  • 2010Moment-independent importance measure of basic random variable and its probability density evolution solution152 cited
  • 2011Time-Dependent Reliability of Random Dynamic Systems Using Time-Series Modeling and Importance Sampling52 cited
  • 2010Frequency Reliability Sensitivity for Dynamic Structural Systems#

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  • 2017A method for estimating the reliability of structural systems with moment-matching and copula concept19 cited
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