SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
An adaptive reliability method combining relevance vector machine and importance sampling
16 references·15 citing·28 second hop
An adaptive reliability method combining relevance vector machine and importance sampling (2015)An adaptive reliability method combining …Metamodel-based importance sampling for structural reliability analysis (2013)Metamodel-based importance sa…A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)A combined Importance Samplin…Assessing small failure probabilities by combined subset simulation and Support Vector Machines (2011)Assessing small failure proba…AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)AK-MCS: An active learning re…Evaluation of failure probability via surrogate models (2010)Evaluation of failure probabi…Filtered importance sampling with support vector margin: A powerful method for structural reliability analysis (2006)Filtered importance sampling …Application of line sampling simulation method to reliability benchmark problems (2006)Application of line sampling …Structural reliability assessment based on particles swarm optimization (2004)Structural reliability assess…A critical appraisal of reliability estimation procedures for high dimensions (2004)A critical appraisal of relia…Construction of response surfaces based on progressive-lattice-sampling experimental designs with application to uncertainty propagation (2003)Construction of response surf…Reliability analysis—a review and some perspectives (2001)Reliability analysis—a review…Neural-network-based reliability analysis: a comparative study (2001)Neural-network-based reliabil…Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…The geometry of random vibrations and solutions by FORM and SORM (2000)The geometry of random vibrat…A new adaptive importance sampling scheme for reliability calculations (1999)A new adaptive importance sam…Importance sampling in structural systems (1989)Importance sampling in struct…Reliability analysis of structures by multiple sparse polynomial chaos expansion based adaptive metamodel (2025)Reliability analysis of struc…An improved approximate integral method for nonlinear reliability analysis (2024)An improved approximate integ…An enhanced learning function for bootstrap polynomial chaos expansion-based enhanced active learning algorithm for reliability analysis of structure (2024)An enhanced learning function…Reliability and global sensitivity analysis based on importance directional sampling and adaptive Kriging model (2023)Reliability and global sensit…Reliability Analysis of Structures by Active Learning Enhanced Sparse Bayesian Regression (2023)Reliability Analysis of Struc…Novel reliability evaluation method combining active learning kriging and adaptive weighted importance sampling (2022)Novel reliability evaluation …A general hierarchical ensemble-learning framework for structural reliability analysis (2022)A general hierarchical ensemb…Efficient reliability analysis combining kriging and subset simulation with two-stage convergence criterion (2021)Efficient reliability analysi…An adaptive ensemble of surrogate models based on hybrid measure for reliability analysis (2021)An adaptive ensemble of surro…A unified approach for global sensitivity analysis based on active subspace and Kriging (2021)A unified approach for global…Multidisciplinary reliability analysis of turbine blade with shape uncertainty by Kriging model and free-form deformation methods (2020)Multidisciplinary reliability…Time-variant reliability analysis based on high dimensional model representation (2019)Time-variant reliability anal…Sensitivity analysis for probabilistic anti-resonance design of aeronautical hydraulic pipelines (2019)Sensitivity analysis for prob…A novel first–order reliability method based on performance measure approach for highly nonlinear problems (2017)A novel first–order reliabili…Maximum probable life time analysis under the required time-dependent failure probability constraint and its meta-model estimation (2016)Maximum probable life time an…Exact and Invariant Second-Moment Code Format (1974)Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles (2011)The Logic of Scientific Discovery (2013)Structural Reliability Analysis and Prediction (2017)On Latin hypercube sampling for structural reliability analysis (2002)A survey on approaches for reliability-based optimization (2010)MCMC algorithms for Subset Simulation (2015)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)Optimization algorithms for structural reliability (1991)Stochastic Finite Elements: A Spectral Approach (1991)Structural Reliability Methods (1996)Kriging metamodeling in simulation: A review (2007)LIF: A new Kriging based learning function and its application to structural reliability analysis (2016)Structural reliability under combined random load sequences (1978)A new learning function for Kriging and its applications to solve reliability problems in engineering (2015)Assessing small failure probabilities by AK–SS: An active learning method combining Kriging and Subset Simulation (2016)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)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)POLYNOMIAL-CHAOS-BASED KRIGING (2015)Benchmark study on reliability estimation in higher dimensions of structural systems – An overview (2006)Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis (2021)Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review (2023)Machine learning-based methods in structural reliability analysis: A review (2021)A univariate dimension-reduction method for multi-dimensional integration in stochastic mechanics (2004)
this work references cited by second hop

References

  • 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
  • 2001Reliability analysis—a review and some perspectives775 cited
  • 2012A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models692 cited
  • 1989Importance sampling in structural systems604 cited
  • 1999A new adaptive importance sampling scheme for reliability calculations564 cited
  • 2013Metamodel-based importance sampling for structural reliability analysis535 cited
  • 2004A critical appraisal of reliability estimation procedures for high dimensions476 cited
  • 2011Assessing small failure probabilities by combined subset simulation and Support Vector Machines419 cited
  • 2006Application of line sampling simulation method to reliability benchmark problems292 cited
  • 2001Neural-network-based reliability analysis: a comparative study271 cited
  • 2000The geometry of random vibrations and solutions by FORM and SORM238 cited
  • 2010Evaluation of failure probability via surrogate models151 cited
  • 2004Structural reliability assessment based on particles swarm optimization149 cited

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

  • 2006Filtered importance sampling with support vector margin: A powerful method for structural reliability analysis126 cited
  • 2003Construction of response surfaces based on progressive-lattice-sampling experimental designs with application to uncertainty propagation123 cited
  • Cited by

    • 2017A novel first–order reliability method based on performance measure approach for highly nonlinear problems37 cited
    • 2021Efficient reliability analysis combining kriging and subset simulation with two-stage convergence criterion36 cited
    • 2021A unified approach for global sensitivity analysis based on active subspace and Kriging36 cited
    • 2016Maximum probable life time analysis under the required time-dependent failure probability constraint and its meta-model estimation32 cited
    • 2019Time-variant reliability analysis based on high dimensional model representation29 cited
    • 2021An adaptive ensemble of surrogate models based on hybrid measure for reliability analysis27 cited
    • 2024An improved approximate integral method for nonlinear reliability analysis26 cited
    • 2022A general hierarchical ensemble-learning framework for structural reliability analysis25 cited
    • 2019Sensitivity analysis for probabilistic anti-resonance design of aeronautical hydraulic pipelines21 cited
    • 2024An enhanced learning function for bootstrap polynomial chaos expansion-based enhanced active learning algorithm for reliability analysis of structure19 cited
    • 2025Reliability analysis of structures by multiple sparse polynomial chaos expansion based adaptive metamodel15 cited
    • 2023Reliability Analysis of Structures by Active Learning Enhanced Sparse Bayesian Regression11 cited
    • 2023Reliability and global sensitivity analysis based on importance directional sampling and adaptive Kriging model10 cited
    • 2020Multidisciplinary reliability analysis of turbine blade with shape uncertainty by Kriging model and free-form deformation methods9 cited
    • 2022Novel reliability evaluation method combining active learning kriging and adaptive weighted importance sampling9 cited