Sensor Placement Optimization for Shape Sensing of Plates and Shells Using Genetic Algorithm and Inverse Finite Element Method

This paper reports the first investigation of the inverse finite element method (iFEM) coupled with the genetic algorithm (GA) to optimize sensor placement models of plate/shell structures for their real-time and full-field deformation reconstruction. The primary goal was to reduce the number of sen...

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Detalles Bibliográficos
Autores principales: Ghasemzadeh, Maryam, Kefal, Adnan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9740555/
https://www.ncbi.nlm.nih.gov/pubmed/36501955
http://dx.doi.org/10.3390/s22239252

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9740555/
https://www.ncbi.nlm.nih.gov/pubmed/36501955
http://dx.doi.org/10.3390/s22239252

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