Material characterization of functionally graded material by means of elastic waves and a progressive-learning neural network-Reference-Cited by-同舟云学术

Material characterization of functionally graded material by means of elastic waves and a progressive-learning neural network

Published:2001-08 Issue:10 Volume:61 Page:1401-1411
ISSN:0266-3538
Container-title:Composites Science and Technology
language:en
Short-container-title:Composites Science and Technology

Author:

Liu G.R.,Han X.,Xu Y.G.,Lam K.Y.

Publisher

Elsevier BV

Subject

General Engineering,Ceramics and Composites

Reference25 articles.

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2. On determination of orthotropic material moduli from ultrasonic velocity data in non-symmetry planes;Chu;Journal of the Acoustical Society of America,1994

3. Stability of determination of composite moduli from velocity data in planes of symmetry for weak and strong anisotropies;Chu;Journal of the Acoustical Society of America,1994

4. Chu YC, Rokhlin SI. Analysis of composite elastic constant reconstruction from ultrasonic bulk wave velocity data. In: Thompson DO, chimenti DE, editors. Review of progress in quantitative nondestructive evaluation, vol. 13. 1994. pp. 1165–72.

5. Inversion of composite material elastic constants from ultrasonic bulk wave phase velocity data using genetic algorithms;Balasubramaniam;Composite Part B,1998

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