A finite element model updating method based on global optimization
Girardi M., Padovani C., Pellegrini D., Robol L.
Finite elements Modal analysis G.1.10 Finance G.1.6 Signal Processing Control and Systems Engineering Global optimization Sensitivity Civil and Structural Engineering FOS: Computer and information sciences Computer Science Applications Computational Engineering Computer Science - Computational Engineering and Science Aerospace Engineering and Science (cs.CE) D.2.0 Mechanical Engineering Model updating Masonry constructions
Finite element model updating of a structure made of linear elastic materials is based on the solution of a minimization problem. The goal is to find some unknown parameters of the finite element model (elastic moduli, mass densities, constraints and boundary conditions) that minimize an objective function which evaluates the discrepancy between experimental and numerical dynamic properties. The objective function depends nonlinearly on the parameters and may have multiple local minimum points. This paper presents a numerical method able to find a global minimum point and assess its reliability. The numerical method has been tested on two simulated examples - a masonry tower and a domed temple - and validated via a generic genetic algorithm and a global sensitivity analysis tool. A real case study monitored under operational conditions has also been addressed, and the structure's experimental modal properties have been used in the model updating procedure to estimate the mechanical properties of its constituent materials.
Source: Mechanical systems and signal processing 152 (2020). doi:10.1016/j.ymssp.2020.107372
Publisher: Academic Press,, Orlando , Regno Unito
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@article{oai:it.cnr:prodotti:438784,
title = {A finite element model updating method based on global optimization},
author = {Girardi M. and Padovani C. and Pellegrini D. and Robol L.},
publisher = {Academic Press,, Orlando , Regno Unito},
doi = {10.1016/j.ymssp.2020.107372 and 10.48550/arxiv.2007.00278},
journal = {Mechanical systems and signal processing},
volume = {152},
year = {2020}
}
0000-0002-7358-5607ISTI Repository
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10.1016/j.ymssp.2020.107372
10.48550/arxiv.2007.00278
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Mechanical Systems and Signal Processing
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