Structural damage identification using response surface-based multi-objective optimization: a comparative study

DOI10.1007/s13369-015-1591-3zbMath1390.74166OpenAlexW2100588565MaRDI QIDQ1637868

Tanmoy Mukhopadhyay, Rajib Chowdhury, Tushar Kanti Dey, Anupam Chakrabarti

Publication date: 11 June 2018

Published in: Arabian Journal for Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13369-015-1591-3

zbMATH Keywords

multi-objective optimizationdesign of experimentssensitivity analysisresponse surface methodologynon-destructive structural damage identification

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Brittle damage (74R05)

Related Items (3)

A critical assessment of Kriging model variants for high-fidelity uncertainty quantification in dynamics of composite shells ⋮ Stochastic natural frequency of composite conical shells ⋮ A Multidisciplinary Approach for Optimization Design of CNC Machine Tools

Uses Software

• Matlab
• ABAQUS
• SPSS

Cites Work

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• Application of particle swarm optimization and genetic algorithms to multiobjective damage identification inverse problems with modelling errors
• A new philosophy for model selection and performance estimation of data-based approximate mappings
• On Minimum-Point Second-Order Designs
• Damage Detection in Structures Using Changes in Flexibility
• Damage identification in framed structures using natural frequencies
• The identification of cracks using boundary elements and evolutionary algorithms

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