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Resampling method for reliability-based design optimization based on thermodynamic integration and parallel tempering
16 references·0 citing·33 second hop
Resampling method for reliability-based design optimization based on thermodynamic integration and parallel tempering (2021)Resampling method for reliability-based d…Surrogate-assisted reliability-based design optimization: a survey and a unified modular framework (2019)Surrogate-assisted reliabilit…An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis (2018)An active-learning algorithm …Sequential importance sampling for structural reliability analysis (2016)Sequential importance samplin…UQLab: A Framework for Uncertainty Quantification in Matlab (2014)UQLab: A Framework for Uncert…Reliability-based design optimization using kriging surrogates and subset simulation (2011)Reliability-based design opti…AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)AK-MCS: An active learning re…Subset simulation for structural reliability sensitivity analysis (2008)Subset simulation for structu…Enriched Performance Measure Approach for Reliability-Based Design Optimization. (2005)Enriched Performance Measure …Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design (2004)Sequential Optimization and R…Hybrid Analysis Method for Reliability-Based Design Optimization (2003)Hybrid Analysis Method for Re…An Investigation of Nonlinearity of Reliability-Based Design Optimization Approaches (2003)An Investigation of Nonlinear…A new response surface methodology for reliability-based design optimization (2003)A new response surface method…Important sampling in high dimensions (2002)Important sampling in high di…Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…A New Study on Reliability-Based Design Optimization (1999)A New Study on Reliability-Ba…Structural reliability under combined random load sequences (1978)Structural reliability under …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)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)Optimization algorithms for structural reliability (1991)Reliability-based design sensitivity by efficient simulation (2005)A review and assessment of importance sampling methods for reliability analysis (2022)Global sensitivity analysis using polynomial chaos expansions (2007)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)Toward SALib 2.0: Advancing the accessibility and interpretability of global sensitivity analyses (2022)Exact and Invariant Second-Moment Code Format (1974)Methods of structural safety (2006)Robust Design: An Overview (2006)Computational methods in optimization considering uncertainties – An overview (2008)Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles (2011)Response Surface Methodology (1996)Reliability analysis of structures by iterative improved response surface method (2016)Adaptive approaches in metamodel-based reliability analysis: A review (2020)Statistics for Spatial Data (1993)Aleatory or epistemic? Does it matter? (2008)A new surrogate modeling technique combining Kriging and polynomial chaos expansions – Application to uncertainty analysis in computational dosimetry (2015)Quality Engineering Using Robust Design (1991)Structural Reliability Analysis and Prediction (2017)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)
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References

  • 2001Estimation of small failure probabilities in high dimensions by subset simulation2,419 cited
  • 1978Structural reliability under combined random load sequences2,229 cited
  • 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation2,048 cited
  • 2004Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design1,106 cited
  • 2014UQLab: A Framework for Uncertainty Quantification in Matlab1,018 cited
  • 1999A New Study on Reliability-Based Design Optimization988 cited
  • 2003Hybrid Analysis Method for Reliability-Based Design Optimization613 cited
  • 2011Reliability-based design optimization using kriging surrogates and subset simulation450 cited
  • 2003A new response surface methodology for reliability-based design optimization404 cited
  • 2002Important sampling in high dimensions375 cited
  • 2005Enriched Performance Measure Approach for Reliability-Based Design Optimization.321 cited
  • 2018An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis308 cited
  • 2008Subset simulation for structural reliability sensitivity analysis284 cited
  • 2016Sequential importance sampling for structural reliability analysis267 cited

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  • 2003An Investigation of Nonlinearity of Reliability-Based Design Optimization Approaches216 cited
  • 2019Surrogate-assisted reliability-based design optimization: a survey and a unified modular framework213 cited
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