# PREDICTION AND DETECTION OF FAILURES IN LAMINATED COMPOSITE MATERIALS USING NEURAL NETWORKS – A REVIEW

> Title: PREDICTION AND DETECTION OF FAILURES IN LAMINATED COMPOSITE MATERIALS USING NEURAL NETWORKS – A REVIEW Page Range: p.433-441 Author(s): Addin A O; Sapuan S M; Mahdi E; Othman M File size: 105K Download the pdf (subscribers only) Buy the pdf (non-subscribers)...

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Published: 2006-04-01T00:00:00+00:00
Categories: Polymers and Polymer Composites

**Title: PREDICTION AND DETECTION OF FAILURES IN LAMINATED COMPOSITE MATERIALS USING NEURAL NETWORKS – A REVIEW**
 Page Range: p.433-441
 Author(s): Addin A O; Sapuan S M; Mahdi E; Othman M
 File size: 105K
 ![](http://dload.gif) [Download the pdf](http://journals.asp?Page=111&JournalDownload=ON&JournalType=ppc&JournalIssue=ppc14-4&JournalID=100298&JIP=) (subscribers only)
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 Journal: Polymers and Polymer Composites
 Issue Year: ppc
 Volume: 14
 Issue No: No. 4

**Abstract**
 This article describes combined computational techniques with the use of neural networks as a quantitative method, and natural frequencies, electrical conductivity, and lamb waves as non-destructive methods used to identify failures in laminated composite materials. Neural networks demonstrated robust and uncontroversial capabilities for complex failure detection and prediction in laminated composite materials with small errors. These failures include delamination, matrix cracking, fibre fracture and debonding. The presence of these failures is reported in terms of size, location and shape. 51 refs.

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