On-line identification of holes/cracks in composite structures

Y. C. Liang, Chyanbin Hwu

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

Generally, the on-line identification of holes or cracks in a structure is a pressing task of non-destructive identification. In this paper, the method used is different from that generally studied previously: The detectors of the inverse problem are the static strains simply measured by strain gauges, and the system of on-line identification is accomplished through an artificial neural network (ANN). It is more and more feasible and accurate to on-line measure the static strains by applying highly developed smart materials. To express the complex relationship between the strains and the parameters of holes or cracks, a network of ANN with two hidden layers is designed. Not only the size but also the location and orientation of a hole/crack in a composite plate can be identified on-line. The weights and thresholds in the networks can be updated based upon the well-trained values if new training data are added. Consequently, the training time will be saved. To perform the optimal learning efficiency and a ccuracy, many numerical results are provided in this paper.

Original languageEnglish
Pages (from-to)599-609
Number of pages11
JournalSmart Materials and Structures
Volume10
Issue number4
DOIs
Publication statusPublished - 2001 Aug 1

Fingerprint

composite structures
Composite structures
cracks
Cracks
Neural networks
education
Intelligent materials
Strain gages
Inverse problems
smart materials
strain gages
pressing
learning
Detectors
Composite materials
composite materials
thresholds
detectors

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Atomic and Molecular Physics, and Optics
  • Civil and Structural Engineering
  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanics of Materials
  • Electrical and Electronic Engineering

Cite this

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On-line identification of holes/cracks in composite structures. / Liang, Y. C.; Hwu, Chyanbin.

In: Smart Materials and Structures, Vol. 10, No. 4, 01.08.2001, p. 599-609.

Research output: Contribution to journalArticle

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