Comparison of Numerical and Experimental Strain Measurements of a Composite Panel Using Image Decomposition

Christopher M Sebastian; Eann A Patterson; Donald Ostberg

doi:10.4028/www.scientific.net/AMM.70.63

Paper Titles

Image Analysis for Full-Field Displacement/Strain Data: Method and Applications
p.39

Application of High Speed Image Correlation for Measurement of Mode Shapes of a Car Bonnet
p.45

Use of Integrated Simulation and Experimentation to Quantify Impact Damage
p.51

Validation of Impact Simulations of a Car Bonnet by Full-Field Optical Measurements
p.57

Comparison of Numerical and Experimental Strain Measurements of a Composite Panel Using Image Decomposition
p.63

High/Ultra-High Speed Imaging as a Diagnostic Tool
p.69

Approaches to Synchronise Conventional Measurements with Optical Techniques at High Strain Rates
p.75

Performances and Limitations of Three Ultra High-Speed Imaging Cameras for Full-Field Deformation Measurements
p.81

Damage Observation and Analysis of a Rock Brazilian Disc Using High-Speed DIC Method
p.87

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 70Comparison of Numerical and Experimental Strain...

Comparison of Numerical and Experimental Strain Measurements of a Composite Panel Using Image Decomposition

Abstract:

Image decomposition is used to address the problem of accurately and concisely describing the strain in an inhomogeneous composite panel that is bolted to a vehicle structure. In-service, the composite panel is subject to structural loads from the vehicle which can cause unintended damage to the panel. Finite element simulations have been performed with the plan to establish their fidelity using full-field optical strain measurements obtained using digital image correlation. A methodology is presented based on using orthogonal shape descriptors to decompose the data-rich maps of strain into information-preserved data sets of reduced dimensionality that facilitate a quantitative comparison of the computational and experimental results. The decomposition is achieved employing the Fourier transform followed by fitting Tchebichef moments to the maps of the magnitude of the Fourier transform. The results show that this approach is fast and reliably describes the strain fields using less than fifty moments as compared to the thousands of data points in each strain map.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 70)

Pages:

63-68

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.70.63

Citation:

Cite this paper

Online since:

August 2011

Authors:

Christopher M Sebastian, Eann A Patterson, Donald Ostberg

Keywords:

Digital Image Correlation (DIC), Image Decomposition, Tchebichef, Zernike

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] W. Wang, J. Mottershead, C. Mares, Mode-shape recognition and finite element model updating using the Zernike moment descriptor Mechanical Systems and Signal Processing 23 (2009) 2088-21121.

DOI: 10.1016/j.ymssp.2009.03.015

Google Scholar

[2] W. Wang, J.E. Mottershead, A. Patki, E.A. Patterson, Construction of shape features for the representation of full-field displacement/strain data, Applied Mechanics and Materials, 24-25(2010): 365-370.

DOI: 10.4028/www.scientific.net/amm.24-25.365

Google Scholar

[3] M.A. Sutton, J-J. Orteu, H.W. Schreir, Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts, Theory and Applications, Springer Science + Business Media LLC, New York, (2009).

DOI: 10.1007/978-0-387-78747-3

Google Scholar

[4] R. Mukundan, SH Ong, and PA Lee, Image analysis by Tchebichef moments, Image Processing, IEEE Transactions on 10 (2002) 1357-1364.

DOI: 10.1109/83.941859

Google Scholar