Inversion-based imaging using lagrange polynomial parameterization and genetic algorithm optimization

Yew Li Hor; Yu Zhong; Huapeng Zhao; Viet Phuong Bui; Ching Eng Png

doi:10.1117/12.2263265

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12 April 2017 Inversion-based imaging using lagrange polynomial parameterization and genetic algorithm optimization

Yew Li Hor, Yu Zhong, Huapeng Zhao, Viet Phuong Bui, Ching Eng Png

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Proceedings Volume 10168, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017; 101683S (2017) https://doi.org/10.1117/12.2263265
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2017, Portland, Oregon, United States

Abstract

A fast crack profile reconstitution method is developed using eddy current probing scheme. The technique employed genetic algorithm (GA) optimization together with boundary element method (BEM) to evaluate the shape of the cracks that are described by using the Lagrange polynomial (LP). In doing so, the shape of the open cracks could be obtained. Compared to the pixel-based description of the cracks, the LP description could significantly reduce the number of the unknowns, and this increases the efficiency of the global searching by the GA. This technique has greatly improved the efficiency of the inversion solver. Numerical tests are shown to validate the interests.

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Yew Li Hor, Yu Zhong, Huapeng Zhao, Viet Phuong Bui, and Ching Eng Png "Inversion-based imaging using lagrange polynomial parameterization and genetic algorithm optimization", Proc. SPIE 10168, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017, 101683S (12 April 2017); https://doi.org/10.1117/12.2263265

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