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Structural reliability calculation method based on the dual neural network and direct integration method
6 references·10 citing·45 second hop
Structural reliability calculation method based on the dual neural network and direct integration method (2016)Structural reliability calculation method…Accelerated subset simulation with neural networks for reliability analysis (2012)Accelerated subset simulation…An artificial neural network based genetic algorithm for estimating the reliability of long span suspension bridges (2010)An artificial neural network …Reliability analysis of laminated composite structures using finite elements and neural networks (2009)Reliability analysis of lamin…Moment methods for structural reliability (2001)Moment methods for structural…Third-Moment Standardization for Structural Reliability Analysis (2000)Third-Moment Standardization …A general procedure for first/second-order reliabilitymethod (FORM/SORM) (1999)A general procedure for first…Adaptive stochastic configuration network ensemble for structural reliability analysis (2023)Adaptive stochastic configura…A loading contribution degree analysis-based strategy for time-variant reliability analysis of structures under multiple loading stochastic processes (2023)A loading contribution degree…Stochastic configuration network for structural reliability analysis (2022)Stochastic configuration netw…Adaptive surrogate model coupled with stochastic configuration network strategies for time-dependent reliability assessment (2022)Adaptive surrogate model coup…A new reliability analysis approach with multiple correlation neural networks method (2022)A new reliability analysis ap…Stochastic natural frequency analysis of varying diameter functionally graded material pipe conveying fluid (2021)Stochastic natural frequency …An improved active learning method combing with the weight information entropy and Monte Carlo simulation of efficient structural reliability analysis (2020)An improved active learning m…Direct integration method based on dual neural networks to solve the structural reliability of fuzzy failure criteria (2019)Direct integration method bas…The Method of Solving Structural Reliability with Multiparameter Correlation Problem (2017)The Method of Solving Structu…New neural network-based response surface method for reliability analysis of structures (2017)New neural network-based resp…Exact and Invariant Second-Moment Code Format (1974)A fast and efficient response surface approach for structural reliability problems (1990)Methods of structural safety (2006)Efficient Spreadsheet Algorithm for First-Order Reliability Method (2007)Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles (2011)Structural reliability analysis based on the concepts of entropy, fractional moment and dimensional reduction method (2013)Probability Concepts in Engineering Planning and Design (1975)Probability, reliability and statistical methods in engineering design (1999)Adaptive reliability analysis based on a support vector machine and its application to rock engineering (2017)Stochastic multi-scale finite element based reliability analysis for laminated composite structures (2017)Structural Reliability Analysis and Prediction (2017)Reliability and sensitivity analysis of composite structures by an adaptive Kriging based approach (2021)Adaptive sampling — an iterative fast Monte Carlo procedure (1988)A new adaptive importance sampling scheme for reliability calculations (1999)Estimation of small failure probabilities in high dimensions by subset simulation (2001)An efficient reliability method combining adaptive importance sampling and Kriging metamodel (2014)Rare-event probability estimation with adaptive support vector regression surrogates (2016)An active learning reliability method combining Kriging constructed with exploration and exploitation of failure region and subset simulation (2019)Hybrid genetic algorithms for structural reliability analysis (2007)Reliability analysis of structures using artificial neural network based genetic algorithms (2008)Structural Reliability: An Assessment Using a New and Efficient Two-Phase Method Based on Artificial Neural Network and a Harmony Search Algorithm (2016)FORM reliability analysis using a parallel evolutionary algorithm (2017)High-dimensional reliability-based structural design optimization: A surrogate model-assisted decoupled method based on importance sampling quantiles (2025)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Efficient sampling-based inverse reliability analysis combining Monte Carlo simulation (MCS) and feedforward neural network (FNN) (2021)Enhanced Active Learning for Structural Reliability Analysis: An Ensemble SVR Metamodel‐Monte Carlo Approach (2025)Stochastic Finite Elements: A Spectral Approach (1991)Numerical methods for the discretization of random fields by means of the Karhunen–Loève expansion (2014)Customization design method for complex product systems based on a meta-model (2019)Application of kriging method to structural reliability problems (2004)Simulation and the Monte Carlo Method (2007)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)Online adaptive selection of appropriate learning functions with parallel infilling strategy for Kriging-based reliability analysis (2024)A time-dependent reliability analysis method based on principal component analysis and an ensemble of surrogate models (2025)Structural Reliability Methods (1996)Aleatory or epistemic? Does it matter? (2008)An Adaptive Gaussian Mixture Model for structural reliability analysis using convolution search technique (2024)Time-dependent reliability analysis by a single-loop Bayesian active learning method using Gaussian process regression (2025)Towards a single-loop Gaussian process regression based-active learning method for time-dependent reliability analysis (2025)Investigation of polynomial normal transform (2003)Extended Monte Carlo Simulation for Parametric Global Sensitivity Analysis and Optimization (2014)Complete monotonic expression of the fourth-moment normal transformation for structural reliability (2017)Reliability analysis using object-oriented constrained optimization (2003)Evaluation of failure probability via surrogate models (2010)
this work references cited by second hop

References

  • 2001Moment methods for structural reliability633 cited
  • 1999A general procedure for first/second-order reliabilitymethod (FORM/SORM)487 cited
  • 2012Accelerated subset simulation with neural networks for reliability analysis213 cited
  • 2000Third-Moment Standardization for Structural Reliability Analysis91 cited
  • 2009Reliability analysis of laminated composite structures using finite elements and neural networks68 cited
  • 2010An artificial neural network based genetic algorithm for estimating the reliability of long span suspension bridges46 cited

Cited by

  • 2017New neural network-based response surface method for reliability analysis of structures34 cited
  • 2023A loading contribution degree analysis-based strategy for time-variant reliability analysis of structures under multiple loading stochastic processes28 cited
  • 2023Adaptive stochastic configuration network ensemble for structural reliability analysis26 cited
  • 2021Stochastic natural frequency analysis of varying diameter functionally graded material pipe conveying fluid18 cited
  • 2022Stochastic configuration network for structural reliability analysis16 cited
  • 2022Adaptive surrogate model coupled with stochastic configuration network strategies for time-dependent reliability assessment16 cited
  • 2017The Method of Solving Structural Reliability with Multiparameter Correlation Problem12 cited

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  • 2020An improved active learning method combing with the weight information entropy and Monte Carlo simulation of efficient structural reliability analysis10 cited
  • 2019Direct integration method based on dual neural networks to solve the structural reliability of fuzzy failure criteria8 cited
  • 2022A new reliability analysis approach with multiple correlation neural networks method8 cited