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TECHNICAL PAPERS

Measurement of Whole-Field Surface Displacements and Strain Using a Genetic Algorithm Based Intelligent Image Correlation Method

[+] Author and Article Information
Alan Pilch, Ajay Mahajan, Tsuchin Chu

Department of Mechanical Engineering and Energy Processes, Southern Illinois University at Carbondale, Carbondale, IL 62901

J. Dyn. Sys., Meas., Control 126(3), 479-488 (Dec 03, 2004) (10 pages) doi:10.1115/1.1789968 History: Received November 06, 2003; Online December 03, 2004
Copyright © 2004 by ASME
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References

Figures

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(a) Surface speckle pattern; (b) Shifted surface speckle pattern
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Intensity values of a subset
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Crossover and blending of parent chromosomes
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Crossover and blending of parent chromosomes for the six-variable system
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Zero-order interpolation of subset
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A single series of results for the Calibration Routine
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(a) Locations of solutions, error, and generations to converge for 100 trials; (b) locations of solutions, error, and generations to converge for 100 trials
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Convergence of genetic algorithm on solution over 40 generations
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Best cost and mean cost vs. generation
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Horizontal and vertical displacement fields
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2D strain contours next to a hole in plate loaded vertically
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Comparison of calculated and measured values for strain

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