A new method for parameter sensitivity estimation in structural reliability analysis

DOI10.1016/J.AMC.2010.11.053zbMath1209.62243OpenAlexW2062868109MaRDI QIDQ628871

Juan-Miguel Gracia

Publication date: 8 March 2011

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2010.11.053

zbMATH Keywords

response surfaceparameter sensitivitysupport vector regressionstructural reliabilitylimit state function

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Learning and adaptive systems in artificial intelligence (68T05) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (2)

Novel probabilistic model for searching most probable point in structural reliability analysis ⋮ Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis

Uses Software

• LIBSVM

Cites Work

• Experimentally optimal \(\nu\) in support vector regression for different noise models and parameter settings
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