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Research article
First published January 1996

Determination of Internal Deformation Field in Asphalt Cores Using X-Ray Computer Tomography

Abstract

Although existing nondestructive evaluation methods and transducers provide useful quantitative information on composite materials, they measure only macroscopic deformations and, often, only after the strain has exceeded a certain predetermined threshold. It is well established, however, that maintenance intervention is more effective if applied early in the deformation process. A new method for computing the microscopic internal displacement fields associated with permanent deformations of three-dimensional asphalt-aggregate cores with complex internal structure and satisfying the small gradient approximation of continuum mechanics is presented. The displacement fields are computed from a sequence of three-dimensional X-ray computed tomography images, obtained using a new imaging protocol developed specifically for mass-fraction and mix-density estimates of composite cores. By assuming that the image intensity of the tomographic images represents a certain conserved property that is incompressible, a constrained nonlinear regression model for motion estimation is developed. Successive linear approximation is then employed and each linear subsidiary problem is solved using variational calculus. The resulting Euler-Lagrange equations are approximated and solved using finite differencing methods and a conjugate gradient algorithm in a multiresolution framework. The method is validated using pairs of synthetic images of plane shear flow. The three-dimensional displacement field in the interior of a cylindrical asphalt/aggregate core loaded to a state of permanent deformation is calculated using this method.

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References

1. Davison M. X-Ray Computed Tomography. In Scientific Basis for Medical Imaging (Wells H. T., ed.), Churchil and Lighthill, London, 1982, pp. 54–92.
2. Kak A. C. Computerized Tomography with X-Ray, Emission CT and Ultrasound. In Proc., IEEE, Vol. 9, 1979, pp. 1245–1272.
3. Gordon R. Industrial Applications of Computed Tomography and NMR Imaging: An OSA Topical Meeting. Applied Optics, Vol. 24, 1985, pp. 3948–3949.
4. Synolakis C. E., Leaky R. M., Singh M. B., Zhou Z., Song S. M., and Shannon D. S. Development of an Asphalt Core Tomographer. Report SHRP-A-656. Strategic Highway Research Program, National Research Council, Washington D.C., 1993.
5. Armisted R. A., and Yancey R. N. Materials Evaluation, Vol. 47, 1989, pp. 487–491.
6. Zhou Z., Synolakis C. E., Leahy R. M., and Song S. Calculation of 3D Internal Displacement Fields Using X-Ray Computer Tomographic Images. Proceedings of the Royal Society, London, A, Vol. 449, 1995, pp. 537–554.
7. Fitzpatrick J. M. The Existence of Geometrical Density-Image Transformations Corresponding to Object Motion. Computer Vision, Graphics and Image Processing, Vol. 44, 1988, pp. 155–174.
8. Horn B. K. P., and Schunck B. G. Determining Optical Flow. Artificial Intelligence, Vol. 17, 1981, pp. 185–203.
9. Song S. M., and Leahy R. M. Computation of 3-D Velocity Fields from 3-D Cine CT Images of a Human Heart. IEEE Transactions on Medical Imaging, Vol. 10, No. 3, 1991, pp. 295–306.
10. Gu R. J., Hovanesian J. D., and Hung Y. Y. Calculations of Strains and Internal Displacement Fields Using Computerized Tomography. Journal of Applied Mechanics, Vol. 58, 1991, pp. 24–27.
11. Seber G. A. F., and Wild C. J. Nonlinear Regression. John Willey and Sons, New York, 1989.
12. Mitchell A. R. The Finite Difference Method in Partial Differential Equations. Wiley, New York, 1980.
13. Axelsson O., and Barker V. A. Finite Element Solution of Boundary Value Problems-Theory and Application. Computer Science and Applied Mathematics, 1984.
14. Rosenfeld A. Multiresolution Image Processing and Analysis. Springer-Verlag, 1984.
15. Enkelmann W. Investigations of Multigrid Algorithms for the Estimation of Optical Flow Fields in Image Sequences. Computer Vision, Graphics and Image Processing, Vol. 43, 1988, pp. 150–177.
16. Kearney J. K., and Thompson W. B. Optical Flow Estimation: An Error Analysis of Gradient-Based Methods with Local Optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 9, 1987, pp. 229–244.
17. Hunter S. C. Mechanics of Continuous Media, 2nd ed. John Wiley and Sons, New York, 1983.

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Article first published: January 1996
Issue published: January 1996

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© 1996 National Academy of Sciences.
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Authors

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Costas Emmanuel Synolakis
School of Engineering, University of Southern California, Los Angeles, Calif. 90089-2531.
Zenyou Zhou
School of Engineering, University of Southern California, Los Angeles, Calif. 90089-2531.
Richard M. Leahy
School of Engineering, University of Southern California, Los Angeles, Calif. 90089-2531.

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