A global-local meta-modelling technique for model updating

DOI10.1016/j.cma.2023.116511MaRDI QIDQ6118582

Dmitry I. Ignatyev, Luca Zanotti Fragonara, James F. Whidborne, Gabriele Dessena

Publication date: 21 March 2024

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

zbMATH Keywords

krigingoptimisationmodel updatingdamage detectionstructural health monitoringMTMAC

Mathematics Subject Classification ID

Mechanics of deformable solids (74-XX) Numerical analysis (65-XX)

Cites Work

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• Exploratory designs for computational experiments
• A literature survey of benchmark functions for global optimisation problems
• Model-based structural health monitoring of naval ship hulls
• Efficient global optimization of expensive black-box functions
• Structural damage detection using measured FRF data
• Damage detection on crates of beverages by artificial neural networks trained with finite-element data.
• Engineering design applications of surrogate-assisted optimization techniques
• Damage detection and parameter identification by finite element model updating
• Vibration–based structural damage identification
• A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
• Multi-fidelity optimization via surrogate modelling
• Finite-element-model Updating Using Computional Intelligence Techniques
• Optimization Procedure to Correct Stiffness and Flexibility Matrices Using Vibration Tests
• Model Updating In Structural Dynamics: A Survey
• Multi-Objective Optimization Using Surrogates
• Evaluation of orthogonal damping matrices
• A parallel constrained efficient global optimization algorithm for expensive constrained optimization problems

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