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Probabilistic Computational Methods in Structural Failure Analysis
14 references·1 citing·35 second hop
Probabilistic Computational Methods in Structural Failure Analysis (2015)Probabilistic Computational Methods in St…Using DOProC Method in Structural Reliability Assessment (2013)Using DOProC Method in Struct…Aleatory or epistemic? Does it matter? (2008)Aleatory or epistemic? Does i…Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…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…General multi-dimensional probability integration by directional simulation (1990)General multi-dimensional pro…Descriptive Sampling: A Better Approach to Monte Carlo Simulation (1990)Descriptive Sampling: A Bette…Importance sampling in structural systems (1989)Importance sampling in struct…Probability Integration by Directional Simulation (1988)Probability Integration by Di…Adaptive sampling — an iterative fast Monte Carlo procedure (1988)Adaptive sampling — an iterat…First-order concepts in system reliability (1982)First-order concepts in syste…Quadratic Limit States in Structural Reliability (1979)Quadratic Limit States in Str…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…Reliability Bases of Structural Safety and Design (1974)Reliability Bases of Structur…Exact and Invariant Second-Moment Code Format (1974)Exact and Invariant Second-Mo…Structural Reliability Analysis Using DOProC Method (2016)Structural Reliability Analys…Structural reliability under combined random load sequences (1978)Narrow Reliability Bounds for Structural Systems (1979)Non-Normal Dependent Vectors in Structural Safety (1981)New light on first- and second-order reliability methods (1987)Efficient surrogate models for reliability analysis of systems with multiple failure modes (2011)AK-SYS: An adaptation of the AK-MCS method for system reliability (2013)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)Monte Carlo techniques in computational stochastic mechanics (1998)A response surface method based on weighted regression for structural reliability analysis (2004)Methods of structural safety (2006)Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review (2023)Small sample sensitivity analysis techniques for computer models.with an application to risk assessment (1980)A benchmark study on importance sampling techniques in structural reliability (1993)Review and application of Artificial Neural Networks models in reliability analysis of steel structures (2014)MCMC algorithms for Subset Simulation (2015)A new adaptive importance sampling scheme for reliability calculations (1999)A univariate dimension-reduction method for multi-dimensional integration in stochastic mechanics (2004)Metamodel-based importance sampling for structural reliability analysis (2013)Structural Reliability Analysis and Prediction (2017)The Logic of Scientific Discovery. (1960)Structural Reliability Methods (1996)Logic of Scientific Discovery, The (2010)Reliability-based design optimization using kriging surrogates and subset simulation (2011)Imprecise probabilities in engineering analyses (2013)Variable importance analysis: A comprehensive review (2015)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design (2004)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)Improvement Of Second‐Order Reliability Estimates by Importance Sampling (1988)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)
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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
  • 1974Exact and Invariant Second-Moment Code Format3,138 cited
  • 2008Aleatory or epistemic? Does it matter?2,450 cited
  • 2001Estimation of small failure probabilities in high dimensions by subset simulation2,419 cited
  • 1989Importance sampling in structural systems604 cited
  • 1982First-order concepts in system reliability522 cited
  • 1988Adaptive sampling — an iterative fast Monte Carlo procedure464 cited
  • 1979Quadratic Limit States in Structural Reliability388 cited
  • 1988Probability Integration by Directional Simulation339 cited
  • 1974Reliability Bases of Structural Safety and Design218 cited
  • 1990General multi-dimensional probability integration by directional simulation163 cited
  • 1990Descriptive Sampling: A Better Approach to Monte Carlo Simulation134 cited
  • 2013Using DOProC Method in Structural Reliability Assessment40 cited

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  • 2016Structural Reliability Analysis Using DOProC Method

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15 cited