Post optimization for accurate and efficient reliability-based design optimization using second-order reliability method based on importance sampling and its stochastic sensitivity analysis

DOI10.1002/nme.5150zbMath1352.90028OpenAlexW2209773758MaRDI QIDQ2952936

Byung Chai Lee, Jongmin Lim, Ikjin Lee

Publication date: 30 December 2016

Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/nme.5150

zbMATH Keywords

reliability analysisreliability-based design optimizationsecond-order reliability methodstochastic sensitivity analysispost optimization

Mathematics Subject Classification ID

Computational methods for problems pertaining to probability theory (60-08) Reliability, availability, maintenance, inspection in operations research (90B25) Reliability and life testing (62N05)

Related Items (11)

Deep reliability learning with latent adaptation for design optimization under uncertainty ⋮ A hybrid sequential approximate programming method for second-order reliability-based design optimization approach ⋮ A new effective approach for computation of reliability index in nonlinear problems of reliability analysis ⋮ A generalized sensitivity analysis method based on variance and covariance decomposition of summatory functions for multi-input multi-output systems ⋮ A hybrid descent mean value for accurate and efficient performance measure approach of reliability-based design optimization ⋮ New target performance approach for a super parametric convex model of non-probabilistic reliability-based design optimization ⋮ A new reliability-based design optimization framework using isogeometric analysis ⋮ A confidence-based reliability optimization with single loop strategy and second-order reliability method ⋮ A hybrid conjugate finite-step length method for robust and efficient reliability analysis ⋮ Super parametric convex model and its application for non-probabilistic reliability-based design optimization ⋮ Enhanced sequential approximate programming using second order reliability method for accurate and efficient structural reliability-based design optimization

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