Finite element study of ultrasonic imaging

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Date
1991
Authors
You, Zhongqing
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William Lord
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Altmetrics
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Electrical and Computer Engineering

The Department of Electrical and Computer Engineering (ECpE) contains two focuses. The focus on Electrical Engineering teaches students in the fields of control systems, electromagnetics and non-destructive evaluation, microelectronics, electric power & energy systems, and the like. The Computer Engineering focus teaches in the fields of software systems, embedded systems, networking, information security, computer architecture, etc.

History
The Department of Electrical Engineering was formed in 1909 from the division of the Department of Physics and Electrical Engineering. In 1985 its name changed to Department of Electrical Engineering and Computer Engineering. In 1995 it became the Department of Electrical and Computer Engineering.

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1909-present

Historical Names

  • Department of Electrical Engineering (1909-1985)
  • Department of Electrical Engineering and Computer Engineering (1985-1995)

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An increasing requirement for engineering system reliability provides the motivation for further development of nondestructive evaluation (NDE) techniques. An important objective of NDE system measurements is related to the inverse process which either images the defect (or material inhomogeneity) or sizes and locates the defect from the detected signals. Many inverse algorithms involve assumptions and approximations which are not realistic. Evaluation of these effects on the reconstructed images has always been difficult, as experimentally, these different factors cannot be easily distinguished. Thus, a powerful test bed is essential to study the sensitivity of an inverse algorithm. Numerical models are the most suitable technique for this purpose. In addition, an accurate forward model is also useful to implement iterative inverse schemes;This dissertation describes the development and use of finite element analysis to model ultrasonic wave propagation phenomena and to study diffraction tomography. The nature of the finite element model allows the accurate prediction of the displacement field for complicated situations including arbitrary anisotropy, inhomogeneity and attenuation. Basic formulations are presented for general three-dimensional (3-D) geometries and verified by comparing to analytical solutions. To optimize computer resources, the combination of central difference and forward difference schemes is chosen to approximate the time derivatives and a lumped mass schmeme is introduced to avoid the expensive matrix inversion. The two-dimensional (2-D) and axisymmetric formulations discussed at length in this thesis effectively model problems satisfying either plane strain or axisymmetric conditions. Absorbing boundary conditions are introduced for large geometries and applied to some typical test situations. Using this finite element model as a test bed, the diffraction tomographic algorithm is studied with regard to finite aperture effects and material anisotropy;Extensive comparison of the finite element results with analytic solutions proves the validity of the 2-D, axisymmetric and 3-D models. Applications of the 2-D and axisymmetric formulations correctly predict useful phenomena associated with wave/defect interactions and the anisotropic property of the material. Evaluation of the diffraction tomographic algorithm provides useful insights as to the effects of the assumptions and approximations. Among all the practical factors, the material anisotropy is the primary cause in degenerating the quality of the reconstructed image.

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Tue Jan 01 00:00:00 UTC 1991