Title

Coupled Laser Speckle Genetic Algorithm Technique For Surface Displacement Measurement

Abstract

This paper introduces an innovative technique that integrates a genetic algorithm based digital image correlation with Laser speckle photography (LSP) for the measurement of surface displacements in structures. The images (before and after deformation) are digitized using a digital camera, and the grayscale intensity matrices are read and processed by Matlab image processing toolbox. The two matrices of the images are then inputted into an iterative program based on the Genetic algorithm that utilizes an advanced cross correlation technique to determine the surface displacements. Additionally, the strains are computed by radial basis function differentiation. The computed displacements are compared with simulated results obtained by finite element analysis. Close agreement of the two results proved the validity of the developed non-contact technique for accurately measuring surface displacements. In a future application, the experimentally measured displacements will be used in a boundary element inverse technique to detect and characterize subsurface cavities in structures. © 2008 Society for Experimental Mechanics Inc.

Publication Date

12-22-2008

Publication Title

Society for Experimental Mechanics - 11th International Congress and Exhibition on Experimental and Applied Mechanics 2008

Volume

1

Number of Pages

489-503

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

57649225567 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/57649225567

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