SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A Hierarchical Neural Hybrid Method for Failure Probability Estimation
14 references·0 citing·40 second hop
A Hierarchical Neural Hybrid Method for Failure Probability Estimation (2019)A Hierarchical Neural Hybrid Method for F…A New Sequential Surrogate Method for Reliability Analysis and its Applications in Engineering (2019)A New Sequential Surrogate Me…An efficient surrogate-based method for computing rare failure probability (2011)An efficient surrogate-based …Response surface methodology (2010)Response surface methodologyEvaluation of failure probability via surrogate models (2010)Evaluation of failure probabi…A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (2007)A Stochastic Collocation Meth…Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…Multiple design points in first and second-order reliability (1998)Multiple design points in fir…Simulation-Based Reliability Methods (1995)Simulation-Based Reliability …A new look at the response surface approach for reliability analysis (1993)A new look at the response su…A benchmark study on importance sampling techniques in structural reliability (1993)A benchmark study on importan…Stochastic Finite Element Method: Response Statistics (1991)Stochastic Finite Element Met…A fast and efficient response surface approach for structural reliability problems (1990)A fast and efficient response…Importance sampling in structural systems (1989)Importance sampling in struct…New light on first- and second-order reliability methods (1987)New light on first- and secon…Methods of structural safety (1987)Structural Reliability Methods (1996)First excursion probabilities for linear systems by very efficient importance sampling (2001)Important sampling in high dimensions (2002)Methods of structural safety (2006)Review and application of Artificial Neural Networks models in reliability analysis of steel structures (2014)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (2008)An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis (2009)Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization (2018)Exact and Invariant Second-Moment Code Format (1974)Response Surface Methodology (1996)Moment methods for structural reliability (2001)Application of kriging method to structural reliability problems (2004)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)Structural Reliability Analysis and Prediction (2017)Simulation and the Monte Carlo Method (1981)The stochastic finite element method: Past, present and future (2008)The generalization of Latin hypercube sampling (2015)Simulation and the Monte Carlo Method (2016)Stochastic Finite Elements: A Spectral Approach (1991)Kriging-based adaptive Importance Sampling algorithms for rare event estimation (2013)Multifidelity importance sampling (2015)Structural reliability under combined random load sequences (1978)Optimization algorithms for structural reliability (1991)Application of subset simulation methods to reliability benchmark problems (2006)A comparative study of uncertainty propagation methods for black-box-type problems (2008)Narrow Reliability Bounds for Structural Systems (1979)Probability Integration by Directional Simulation (1988)Uncertainty Analysis of Transport-Transformation Models (1999)Statistics for Experimenters (1979)Simultaneous Optimization of Several Response Variables (1980)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design (2016)Regression and Kriging metamodels with their experimental designs in simulation: A review (2016)Design and Analysis of Simulation Experiments (2018)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)
this work references cited by second hop

References

  • 2001Estimation of small failure probabilities in high dimensions by subset simulation2,419 cited
  • 2010Response surface methodology2,134 cited
  • 2007A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data1,396 cited
  • 1990A fast and efficient response surface approach for structural reliability problems1,198 cited
  • 1993A new look at the response surface approach for reliability analysis733 cited
  • 1989Importance sampling in structural systems604 cited
  • 1998Multiple design points in first and second-order reliability385 cited
  • 1993A benchmark study on importance sampling techniques in structural reliability380 cited
  • 1987New light on first- and second-order reliability methods377 cited
  • 2010Evaluation of failure probability via surrogate models151 cited
  • 1991Stochastic Finite Element Method: Response Statistics120 cited
  • 2011An efficient surrogate-based method for computing rare failure probability105 cited
  • 1995Simulation-Based Reliability Methods50 cited
  • 2019A New Sequential Surrogate Method for Reliability Analysis and its Applications in Engineering18 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work