title: An extended diffraction tomography method for quantifying structural damage using numerical Green's functions.
abstract: Existing damage imaging algorithms for detecting and quantifying structural defects, particularly those based on diffraction tomography, assume far-field conditions for the scattered field data. This paper presents a major extension of diffraction tomography that can overcome this limitation and utilises a near-field multi-static data matrix as the input data. This new algorithm, which employs numerical solutions of the dynamic Green's functions, makes it possible to quantitatively image laminar damage even in complex structures for which the dynamic Green's functions are not available analytically. To validate this new method, the numerical Green's functions and the multi-static data matrix for laminar damage in flat and stiffened isotropic plates are first determined using finite element models. Next, these results are time-gated to remove boundary reflections, followed by discrete Fourier transform to obtain the amplitude and phase information for both the baseline (damage-free) and the scattered wave fields. Using these computationally generated results and experimental verification, it is shown that the new imaging algorithm is capable of accurately determining the damage geometry, size and severity for a variety of damage sizes and shapes, including multi-site damage. Some aspects of minimal sensors requirement pertinent to image quality and practical implementation are also briefly discussed.
authors: Sir Lawrence Wackett Aerospace Research Centre, School of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, GPO Box 2476, Melbourne, VIC 3001, Australia.
authors: Eugene
authors: E
authors: Chan
authors: Sir Lawrence Wackett Aerospace Research Centre, School of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, GPO Box 2476, Melbourne, VIC 3001, Australia.
authors: L R Francis
authors: LR
authors: Rose
authors: Sir Lawrence Wackett Aerospace Research Centre, School of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, GPO Box 2476, Melbourne, VIC 3001, Australia. Electronic address: chun.wang@rmit.edu.au.
authors: Chun H
authors: CH
authors: Wang
mesh_terms: D000162:Acoustics; D000465:Algorithms; D020342:Finite Element Analysis; D005583:Fourier Analysis; D008962:Models, Theoretical; D012542:Scattering, Radiation; D014054:Tomography / Q000379:methods*
keywords: Diffraction tomography; Guided (Lamb) waves; In-situ imaging; Inverse scattering