Theoretical investigation on the buckling behavior of smart composite sandwich panels with viscoelastic core and shape memory alloy included skins

2021 ◽  
Author(s):  
Mahsa Karimiasl ◽  
Hamed Ahmadi
2018 ◽  
Vol 30 (3) ◽  
pp. 479-494 ◽  
Author(s):  
Venkata Siva C Chillara ◽  
Leon M Headings ◽  
Ryohei Tsuruta ◽  
Eiji Itakura ◽  
Umesh Gandhi ◽  
...  

This work presents smart laminated composites that enable morphing vehicle structures. Morphing panels can be effective for drag reduction, for example, adaptive fender skirts. Mechanical prestress provides tailored curvature in composites without the drawbacks of thermally induced residual stress. When driven by smart materials such as shape memory alloys, mechanically-prestressed composites can serve as building blocks for morphing structures. An analytical energy-based model is presented to calculate the curved shape of a composite as a function of force applied by an embedded actuator. Shape transition is modeled by providing the actuation force as an input to a one-dimensional thermomechanical constitutive model of a shape memory alloy wire. A design procedure, based on the analytical model, is presented for morphing fender skirts comprising radially configured smart composite elements. A half-scale fender skirt for a compact passenger car is designed, fabricated, and tested. The demonstrator has a domed unactuated shape and morphs to a flat shape when actuated using shape memory alloys. Rapid actuation is demonstrated by coupling shape memory alloys with integrated quick-release latches; the latches reduce actuation time by 95%. The demonstrator is 62% lighter than an equivalent dome-shaped steel fender skirt.


1996 ◽  
Author(s):  
Alan Browne ◽  
Hannes Fuchs ◽  
Nancy Johnson ◽  
Patrick Watling ◽  
John Melvin ◽  
...  

2017 ◽  
Vol 20 (7) ◽  
pp. 831-860
Author(s):  
José R Tarpani ◽  
Alexandre MA Portela

Computed tomography magnetic resonance imaging has been successfully applied to fully detect typical aircraft hydrogen-rich liquid contaminants entrapped in honeycomb core cells of structural polymer composite sandwich panels. With the aid of Bayesian-based image processing toolbox, the quantification, identification, and discrimination of the contaminants were also rapidly accomplished. Computed tomography magnetic resonance imaging has also been auspiciously applied to accurately define the extent of crushed-core damage in liquid impregnated honeycomb cells. Presented results strengthen the potential of magnetic resonance imaging as safe, fast, reliable, and user-friendly nondestructive testing technique to all engineering fields employing composite sandwich panels as high-demanding structural members.


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