First order control variates algorithm for reliability analysis of engineering structures

DOI10.1016/j.apm.2019.07.049zbMath1443.74257OpenAlexW2964839316MaRDI QIDQ1988718

Mansour Ghalehnovi, Mohsen Rashki, Ala Ameryan

Publication date: 24 April 2020

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2019.07.049

zbMATH Keywords

importance samplingcontrol variatesmost probable pointfirst-order reliability

Mathematics Subject Classification ID

Reliability, availability, maintenance, inspection in operations research (90B25) Fracture and damage (74R99) Reliability and life testing (62N05)

Related Items (6)

Dynamic Finite-Budget Allocation of Stratified Sampling with Adaptive Variance Reduction by Strata ⋮ SS-MASVM: an advanced technique for assessing failure probability of high-dimensional complex systems using the multi-class adaptive support vector machine ⋮ The soft Monte Carlo method ⋮ EMCS-SVR: hybrid efficient and accurate enhanced simulation approach coupled with adaptive SVR for structural reliability analysis ⋮ A first order reliability method based on hybrid conjugate approach with adaptive Barzilai-Borwein steps ⋮ A Laplace asymptotic integral-based reliability analysis method combined with artificial neural network

Uses Software

• AK-MCS

Cites Work

• Unnamed Item
• A robust iterative algorithm for structural reliability analysis
• Higher-order failure probability calculation using nonlinear approximations
• New target performance approach for a super parametric convex model of non-probabilistic reliability-based design optimization
• A hybrid self-adaptive conjugate first order reliability method for robust structural reliability analysis
• Hybrid control variates-based simulation method for structural reliability analysis of some problems with low failure probability
• Enhanced sequential approximate programming using second order reliability method for accurate and efficient structural reliability-based design optimization
• Efficient Markov chain Monte Carlo for combined subset simulation and nonlinear finite element analysis
• Efficient safety index calculation for structural reliability analysis
• Safety index calculation using intervening variables for structural reliability analysis

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