Damage Classification Methodology Utilizing Lamb Waves and Artificial Neural Networks-Reference-Cited by-同舟云学术

Damage Classification Methodology Utilizing Lamb Waves and Artificial Neural Networks

Published:2022-06-27 Issue:5 Volume:50 Page:20210754
ISSN:0090-3973
Container-title:Journal of Testing and Evaluation
language:en
Short-container-title:J. Test. Eval.

Author:

Ramalho Gabriel M. F.¹,Barbosa Manuel R. S. P.²,Lopes António M.²³,da Silva Lucas F. M.²³

Affiliation:

1. Department of Mechanical Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal (Corresponding author), e-mail: gmframalho@gmail.com, https://orcid.org/0000-0002-3589-3211

2. Department of Mechanical Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal

3. LAETA/INEGI, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal, https://orcid.org/0000-0001-7359-4370 (A.M.L.)

Publisher

ASTM International

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference29 articles.

1. Integrated Cost/Weight Optimization of Aircraft Structures;Kaufmann;Structural and Multidisciplinary Optimization,2009

2. Guided Lamb Waves for Identification of Damage in Composite Structures: A Review;Su;Journal of Sound and Vibration,2006

3. Experimental Confirmation of Matched Bends;Melloni;Optics Letters,2004

4. Experimental and Theoretical Basis of Lamb Waves and Their Applications in Material Sciences;Sadler;Canadian Journal of Physics,2007

5. Propagation of Guided Waves in Adhesive Bonded Components;Seifried;NDT & E International,2002

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