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Shape sensing methods: Review and experimental comparison on a wing-shaped plate
- Source :
- Progress in Aerospace Sciences. 99:14-26
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Shape sensing, i.e., the reconstruction of the displacement field of a structure from some discrete surface strain measurements, is a fundamental capability for the structural health management of critical components. In this paper, a review of the shape sensing methodologies available in the open literature and of the different applications is provided. Then, for the first time, an experimental comparative study is presented among the main approaches in order to highlight their relative merits in presence of uncertainties affecting real applications. These approaches are, namely, the inverse Finite Element Method, the Modal Method and Ko's Displacement Theory. A brief description of these methods is followed by the presentation of the experimental test results. A cantilevered, wing-shaped aluminum plate is let deform under its own weight, leading to bending and twisting. Using the experimental strain measurements as input data, the deflection field of the plate is reconstructed using the three aforementioned approaches and compared with the actual measured deflection. The inverse Finite Element Method is proven to be slightly more accurate and particularly attractive because it is versatile with respect to the boundary conditions and it does not require any information about material properties and loading conditions.
- Subjects :
- Wing
Cantilever
Computer science
business.industry
Mechanical Engineering
Aerospace Engineering
Inverse finite element method
02 engineering and technology
Structural engineering
021001 nanoscience & nanotechnology
Modal method
020303 mechanical engineering & transports
0203 mechanical engineering
Mechanics of Materials
Deflection (engineering)
Experimental test
Displacement field
Shape sensing
inverse Finite Element Method
Surface strains
Boundary value problem
0210 nano-technology
Material properties
business
Subjects
Details
- ISSN :
- 03760421
- Volume :
- 99
- Database :
- OpenAIRE
- Journal :
- Progress in Aerospace Sciences
- Accession number :
- edsair.doi.dedup.....de74428d9e5d022b4050b39f7b0b966f
- Full Text :
- https://doi.org/10.1016/j.paerosci.2018.04.001