Flexural Wave Propagation in Anisotropic Laminates and Inversion Algorithms to Recover Elastic Constants Using Phase Velocity Measurements

Flexural Wave Propagation in Anisotropic Laminates and Inversion Algorithms to Recover Elastic Constants Using Phase Velocity Measurements
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Total Pages : 67
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ISBN-10 : OCLC:227785986
ISBN-13 :
Rating : 4/5 (86 Downloads)

Book Synopsis Flexural Wave Propagation in Anisotropic Laminates and Inversion Algorithms to Recover Elastic Constants Using Phase Velocity Measurements by :

Download or read book Flexural Wave Propagation in Anisotropic Laminates and Inversion Algorithms to Recover Elastic Constants Using Phase Velocity Measurements written by and published by . This book was released on 1992 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge of the elastic properties of composite materials can be an invaluable tool for both the quality assurance of manufacturing techniques and design verification. Recent advances in ultrasonic velocity measurements have demonstrated the ability to recover elastic properties in anisotropic laminates. A simplified experimental setup was investigated to recover the elastic properties based upon the flexural wave propagation in anisotropic laminates. The initial objective of this thesis was to verify flexural wave propagation in composite laminates through the comparison of experimental and theoretical phase velocities. In the second part of this thesis, the experimental phase velocities were used to calculate the elastic properties of the material by inverting the governing equations. The initial method used to recover elastic constants was successful in the recovery of a partial set of the bending and extensional stiffnesses. The inability to recover all bending stiffnesses dictated the investigation of a second method. This method used an iterative method based upon a nonlinear Newton's method to recover the bending stiffnesses. This method did not converge due to the ill conditioning of the solution matrix. Although this method did not converge, it is believed that more robust methods suggest herein would converge to the proper solution.


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