Inverse Models and Implications for NDE |
| Journal |
Key Engineering Materials (Volumes 321 - 323) |
| Volume |
Advanced Nondestructive Evaluation I |
| Edited by |
Seung-Seok Lee, Joon Hyun Lee, Ik Keun Park, Sung-Jin Song, Man Yong Choi |
| Pages |
6-11 |
| DOI |
10.4028/www.scientific.net/KEM.321-323.6 |
| Online since |
October, 2006 |
| Authors |
Krishnan Balasubramaniam
|
| Keywords |
Eddy Current, Elastic Constant, Inverse Methods, NDE (Nondestructive Evaluation), Ultrasonic Data |
| Abstract |
Any NDE process may be considered to involve three systems, each having a unique set
of parameters that define its characteristics viz. (a) The Input to the material, (b) The material itself,
and (c) The output response measured by the NDE system. Traditionally, the input and the material
parameters are assumed known and numerous Forward Models have been developed that predict or
estimate the output response function. Over the years, forward models are very well established
and serve the key purpose, for improved interpretation of the, as well as to optimize the input
parameters to obtain the desired, output response. The other two scenarios i.e. if the output response
function in the form of measured data is available, to obtain one of system parameters, i.e. either the
input function or the material properties, while the other one is assumed to be known are classified
as Inverse Problems. Due to the availability of computational resources, the inverse problem
solutions are becoming increasingly feasible. Typical applications include measurement of material
properties such as modulus, viscosity, temperature, hardness and stress profiles, etc. This paper will
discuss the different techniques and the kinds of problems that have been successfully addressed in
the area of NDE and their implications on the expanding horizons in NDE. |
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