A smoothed iFEM approach for efficient shape-sensing applications: numerical and experimental validation on composite structures

Warning The system is temporarily closed to updates for reporting purpose.

Kefal, Adnan and Emami Tabrizi, Isa and Yıldız, Mehmet and Tessler, Alexander (2021) A smoothed iFEM approach for efficient shape-sensing applications: numerical and experimental validation on composite structures. Mechanical Systems and Signal Processing, 152 . ISSN 0888-3270 (Print) 1096-1216 (Online)

[img]PDF - Registered users only - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader

Official URL: http://dx.doi.org/10.1016/j.ymssp.2020.107486


A smoothed inverse finite element method (iFEM(s)) is developed by coupling the inverse finite element method (iFEM) and the smoothing element analysis (SEA) for real-time reconstruction of displacement field utilizing a network of discrete strain-sensor measurements. This reconstruction is commonly referred to as “shape sensing”. The shape-sensing capabilities of iFEM(s) in multilayered composite and sandwich structures are validated using both numerical and experimental strain data. The iFEM(s) approach first recovers continuous (smoothed, full field) strains from discrete strain measurements and subsequently employs these strains in the least-squares variational principle to obtain the deformed structural shape. To model through-the-thickness displacement distributions accurately, the kinematic relations of the refined zigzag theory (RZT) are incorporated into the mathematical formulation of iFEM(s). The least-squares functional accommodates the membrane, bending, zigzag, and full transverse-shear section strains. Moreover, simplified forms of this functional are derived for both woven composite and sandwich structures. Subsequently, a four-node quadrilateral inverse-plate element, iRZT4, is implemented for discretization of the geometry and approximation of kinematic variables. The high accuracy of present computational framework is successfully demonstrated by performing shape- and stress-sensing analyses using numerical strain data. Then, the predictive capabilities of iFEM(s) are also explored on a twill-woven wing-shaped sandwich laminate using experimental strain measurements from surface mounted strain gauges and embedded fiber Bragg grating (FBG) sensors. Finally, the improved shape-sensing predictions of iFEM(s) for both numerical and experimental cases are compared to the conventional iFEM application.

Item Type:Article
Uncontrolled Keywords:Shape sensing; FBG sensors; Inverse finite element method; Smoothing techniques; Structural health monitoring; Composite structures
Subjects:T Technology > TJ Mechanical engineering and machinery
T Technology > TA Engineering (General). Civil engineering (General)
ID Code:41486
Deposited By:Isa Emami Tabrizi
Deposited On:05 May 2021 12:39
Last Modified:05 May 2021 12:39

Repository Staff Only: item control page