Sensor placement optimization for shape sensing of plates and shells using genetic algorithm and inverse finite element method

HIGHLIGHTS

  • who: Maryam Ghasemzadeh and Adnan Kefal from the Sabanci University-Kordsa Global, Istanbul, Turkey have published the article: Sensor Placement Optimization for Shape Sensing of Plates and Shells Using Genetic Algorithm and Inverse Finite Element Method, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW of 28/Nov/2022
  • what: The aim was to reduce the number of in the iFEM models while maintaining the high accuracy of the displacement results. The isogeometric iFEM approach aims to provide highly accurate small/large-deformation shape reconstruction of the doubly curved shell structures with a lower . . .

     

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