Finite Element Based Adaptive Modeling for Layered Composite Structures

2007 ◽  
Author(s):  
Preetam Mohite ◽  
Chandra Upadhyay
Keyword(s):  
Finite Element ◽  
Composite Structures ◽  
Layered Composite ◽  
Adaptive Modeling ◽  
Layered Composite Structures

scholarly journals A wave and finite element methodology for structural identification in layered composite structures

2018 ◽  
Vol 211 ◽  
pp. 19004 ◽  
Author(s):  
Rilwan Kayode Apalowo ◽  
Dimitrios Chronopoulos ◽  
Muhammed Malik
Keyword(s):  
Finite Element ◽  
Composite Structures ◽  
Excitation Frequency ◽  
Correlation Method ◽  
Layered Composite ◽  
Single Shot ◽  
Transition Range ◽  
Frequency Spectra ◽  
Periodic Composite ◽  
Layered Composite Structures

In this work we present for the first time an approach for identifying the geometric and material characteristics of layered composite structures through an inverse wave and finite element approach. More specifically, this Non-Destructive Evaluation (NDE) approach is able to recover the thickness, density, as well as all independent mechanical characteristics such as the tensile and shear moduli for each layer of the composite structure under investigation. This is achieved through multi-frequency single shot measurements. It is emphasized that the success of the approach is independent of the employed excitation frequency regime, meaning that both structural dynamics and ultrasound frequency spectra can be employed. It is demonstrated that more efficient convergence of the identification process is attained closer to the bending-to-shear transition range of the layered structure. Since a full FE description is employed for the periodic composite, the presented approach is able to account for structures of arbitrary complexity. The procedure is applied to a sandwich panel with composite facesheets and results are compared with two wave-based characterization techniques: the Inhomogeneous Wave Correlation method and the Transition Frequency Characterization method. Numerical simulations and experimental results are presented to verify the robustness of the proposed method.

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