Sensor placement optimization applied to laminated composite plates under vibration

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 opt...

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Published inStructural and multidisciplinary optimization Vol. 58; no. 5; pp. 2099 - 2118
Main Authors Gomes, Guilherme Ferreira, da Cunha, Sebastiao Simões, da Silva Lopes Alexandrino, Patricia, Silva de Sousa, Bruno, Ancelotti, Antonio Carlos
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2018
Springer Nature B.V
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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.
AbstractList 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.
Author da Silva Lopes Alexandrino, Patricia
Silva de Sousa, Bruno
Gomes, Guilherme Ferreira
Ancelotti, Antonio Carlos
da Cunha, Sebastiao Simões
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  givenname: Sebastiao Simões
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  fullname: da Cunha, Sebastiao Simões
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  givenname: Antonio Carlos
  surname: Ancelotti
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Keywords Structural health monitoring
Genetic algorithm
Composite plates
Sensor placement optimization
Modal data
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Snippet The location optimization of sensors is a essential problem in structural health monitoring systems. Taking the cost of sensors into account, it is...
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SubjectTerms Aeronautics
Carbon fibers
Composite structures
Computational Mathematics and Numerical Analysis
Engineering
Engineering Design
Finite element method
Free vibration
Genetic algorithms
Mathematical models
Monitoring systems
Optimization
Placement
Plates (structural members)
Position sensing
Research Paper
Sensors
Structural health monitoring
Theoretical and Applied Mechanics
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Title Sensor placement optimization applied to laminated composite plates under vibration
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