Numerical Simulation and Visualization Models of Stress Wave Propagation Graphite/Epoxy Composites
Within the last ten years there has been a renewed interest in simulation of stress wave propagation because of the availability of fast supercomputers with large memory capabilities [1,2,3]. Only recently have a few investigators [4,5] applied these simulations to problems where elastic anisotropy was included as a major factor. The massive output of results from these simulations, together with the added complexity of coupled phenomena that uniquely exist for a given anisotropy, defies intuition. To grasp the significance of these simulations requires scientific visualization  of these complex physical phenomena. Such visualizations often require a movie format to better understand the physics of particular problems . In this study we simulated the experimental measurement of a shift in the quasi-transverse bulk wave propagation in an off-axis unidirectional graphite/epoxy composite in plane strain . The purpose of the simulation was to aid the nondestructive evaluation engineer in designing an acoustic array to improve the measurement of the shift in the QT wave propagation direction . Previously a finite element model  was used to simulate this measurement. In this study we demonstrate the advantages of using a finite difference model to simulate this experiment and, with special visual aids, observe the physics.
KeywordsFiber Orientation Finite Element Solution Stress Wave Propagation Wave Propagation Direction Finite Difference Model
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- 1.R. Ludwig and W. Lord, Materials Evaluation 46, 108 (1988).Google Scholar
- 2.Z. You, W. Lord, and R. Ludwig, in Review of Progress in Ouantitative NDE, edited by D. O. Thompson and D. E. Chimenti ( Plenum Press, New York, 1988 ), Vol. 7A, pp. 23–30.Google Scholar
- 5.R. D. Kriz and P. R. Heyliger, in Review of Progress in Quantitative NDE, edited by D. O. Thompson and D. E. Chimenti ( Plenum Press, New York, 1989 ), Vol. 8A, pp. 141–148.Google Scholar
- 6.B. H. McCormick, T. A. Defanti, and M. D. Brown, “Visualization in Scientific Computing,” National Science Foundation Report prepared under Grant ASC-8712231, July 1987.Google Scholar
- 7.R. D. Kriz, “Movies Reveal Secrets of Materials”, NTST Research Reports, NIST-STP765, NIST, Gaithersburg, MD 20899.Google Scholar
- 8.R. D. Krix, “Systems for Monitoring Changes in Elastic Stiffness in Composite Materials,” United States patent no. 4,499,770 (Feb. 19, 1985 ).Google Scholar
- 9.D. W. Fitting, R. D. Kriz, and A. V. Clark, Jr., in Review of Progress in Quantitative NDE, edited by D. O. Thompson and D. E. Chimenti ( Plenum Press, New York, 1989 ), Vol. 8B, pp. 1497–1504.Google Scholar
- 10.A. Bayliss, K. E. Jordan, B. J. LeMesurier, and E. Turkel, Bulletin of the Seismological Society of America, Vol. 76, No. 4, pp. 1115–1132, August 1986.Google Scholar
- 11.M. J. P. Musgrave, Crystal Aconsrics ( Holden-Day, San Francisco, 1970 ).Google Scholar
- 12.R. D. Kriz and H. M. Ledbetter, in Recent Advances in Composites in the United States and Japan, edited by J. R. Vinson and M. Taya (American Society for Testing and Materials, Philadelphia, 198 ), pp. 661–675.Google Scholar