Support vector regression based metamodeling for seismic reliability analysis of structures

DOI10.1016/j.apm.2018.07.054zbMath1480.86009OpenAlexW2885733747WikidataQ129385462 ScholiaQ129385462MaRDI QIDQ2307034

Subrata Chakraborty, Atin Roy, Shyamal Ghosh

Publication date: 27 March 2020

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

Full work available at URL: https://doi.org/10.1016/j.apm.2018.07.054

zbMATH Keywords

Monte Carlo simulationmetamodelingnonlinear dynamic analysissupport vector regressionseismic reliability analysis

Mathematics Subject Classification ID

Reliability, availability, maintenance, inspection in operations research (90B25) Seismology (including tsunami modeling), earthquakes (86A15) Geophysical solid mechanics (74L05)

Related Items (9)

Robust support vector regression with generic quadratic nonconvex \(\varepsilon\)-insensitive loss ⋮ A novel mixed uncertainty support vector machine method for structural reliability analysis ⋮ Novel efficient method for structural reliability analysis using hybrid nonlinear conjugate map-based support vector regression ⋮ Machine learning aided static structural reliability analysis for functionally graded frame structures ⋮ Crashworthiness optimization of VRB thin-walled structures under manufacturing constraints by the eHCA-VRB algorithm ⋮ A virtual model architecture for engineering structures with twin extended support vector regression (T-X-SVR) method ⋮ High-Low Level Support Vector Regression Prediction Approach (HL-SVR) for Data Modeling with Input Parameters of Unequal Sample Sizes ⋮ Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis ⋮ Surrogate assisted active subspace and active subspace assisted surrogate -- a new paradigm for high dimensional structural reliability analysis

Cites Work

• Unnamed Item
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• A new surrogate modeling technique combining Kriging and polynomial chaos expansions - application to uncertainty analysis in computational dosimetry
• Fragility analysis of bridges under ground motion with spatial variation
• Support vector machine for structural reliability analysis
• Structural reliability analysis of elastic-plastic structures using neural networks and Monte Carlo simulation
• Adaptive reliability analysis based on a support vector machine and its application to rock engineering
• Uniform Design: Theory and Application

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