Table of Content

Open Access

ARTICLE

Global-Local FE Simulation of a Plate LVI Test

F. Caputo, G. Lamanna, A. De Luca1, R. Borrelli, S. Franchitti2
The Second University of Naples, DIII, Italy.
Italian Aerospace Research Center – C.I.R.A. S.p.A., Capua, Italy.

Structural Durability & Health Monitoring 2013, 9(3), 253-267. https://doi.org/10.32604/sdhm.2013.009.253

Abstract

The aim of the proposed research activity is to investigate on the structural behaviour of laminated composite plates, in order to develop numerical models able to describe their "damage resistance" under low velocity impacts. To achieve these results it is necessary to provide understanding of and ultimately predict the initiation and the progression mechanisms of damage. Since analytical closed-form methods are unable to describe simultaneously different failure modes and experimental testing can give indications only for specific cases, not generally applicable, it is necessary to improve numerical techniques, which on the base of opportunely selected and calibrated models are able to describe and forecast the damage growth behaviour. A global/local modelling approach has been used to develop explicit finite element analyses of the impact event, including damage initiation and propagation. For validation purpose, numerical results are compared with data from two series of experimental impact tests, by considering impact energy values of 50 J and 100 J, respectively.

Keywords

Composite, Low Velocity Impact, Finite Element Analysis, Damage.

Cite This Article

Caputo, F., Lamanna, G., Luca, A. D., Borrelli, R., Franchitti, S. (2013). Global-Local FE Simulation of a Plate LVI Test. Structural Durability & Health Monitoring, 9(3), 253–267.

Citations




This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 1226

    View

  • 1078

    Download

  • 1

    Like

Related articles

Share Link

WeChat scan