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Structural and Multidisciplinary Optimization

Erschienen in:

21.06.2018 | RESEARCH PAPER

Sensor placement optimization applied to laminated composite plates under vibration

verfasst von: Guilherme Ferreira Gomes, Sebastiao Simões da Cunha Jr., Patricia da Silva Lopes Alexandrino, Bruno Silva de Sousa, Antonio Carlos Ancelotti Jr.

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 5/2018

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Abstract

The location optimization of sensors is a essential problem in structural health monitoring systems. Taking the cost of sensors into account, it is uneconomical to install sensors on every part of a structure and moreover in aeronautical industry, the weight is a crucial factor. In this paper, a optimal placement optimization of sensor locations for structural health monitoring systems is studied. Several techniques of optimization of sensors are approached and applied in a shell structure. The structure, a laminate of carbon fiber, was modeled by the finite element method (FEM) and then subject to free vibration. Genetic algorithms (GAs) are then employed to locate the best sensor distribution to cover a specific number of low frequency modes. Numerical results have demonstrated the overall efficiency of sensor delivery methods. Specific problems occurred, especially regarding the method of effective independence, being less efficient and discrepant in relation to the other methods employed. In summary, the results obtained in this paper provide an optimal position for sensors in real SHM systems and experiments.

Vorheriger Artikel Design of cellular based structures in sandwiched morphing skin via topology optimization

Nächster Artikel Optimization of reinforced concrete frames subjected to historical time-history loadings using DMPSO algorithm

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Titel: Sensor placement optimization applied to laminated composite plates under vibration
verfasst von: Guilherme Ferreira Gomes
Sebastiao Simões da Cunha Jr.
Patricia da Silva Lopes Alexandrino
Bruno Silva de Sousa
Antonio Carlos Ancelotti Jr.
Publikationsdatum: 21.06.2018
Verlag: Springer Berlin Heidelberg
Erschienen in: Structural and Multidisciplinary Optimization / Ausgabe 5/2018
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI: https://doi.org/10.1007/s00158-018-2024-1

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