Patent
1996-10-16
1998-03-17
Hafiz, Tariq R.
395 20, 395 21, G06E 100, G06E 300
Patent
active
057296600
ABSTRACT:
An unknown object is non-destructively and quantitatively evaluated for three-dimensional spatial distribution of a set of material constitutive parameters of the unknown object, using a multi-element array-source transducer and a multi-element array-detector transducer located near the unknown object. The array-source transducer exposes the array-detector transducer to a set of source-field patterns pursuant to a set of electrical input signals. An unknown object located near these transducers will be the cause of scattering, thus presenting a scattered-field pattern to the array detector transducer, for each pattern of the set of source-field patterns. In a related computation, a set of training signals is determined by evaluating on a computer the scattered field from a set of computer simulated training objects. A computer, a signal processor and a neural network operate from detector response to the computer simulated and unknown object scattered-field patterns, in each of two modes. In an initial mode, the neural network is "trained" or configured to process a set of transfer functions involved in array-detector response to scattered-field patterns evaluated by computer simulations for the known computer simulated objects; in another mode, the neural network utilizes its "trained" configuration in application to a set of transfer functions involved in array-detector response to scattered-field patterns produced by an unknown object, to generate estimates of the three-dimensional spatial distribution of the material constitutive parameters of the unknown object. In another embodiment, a set of the Biot poro-elastic material parameters of an unknown object is estimated.
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Bianco Bruno
Chiabrera Alessandro
Kaufman Jonathan J.
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