Abstract

The post-buckling behavior of composite ships' stiffened plate panels has been studied. In this study, the average strain- average stress curves for these panels are derived using progressive failure method as well as nonlinear finite element method. The boundary conditions are appropriate for the continuous plate panels used in shipbuilding. The effects of the aspect ratio, initial geometrical imperfection and stiffener size on the post-buckling of these stiffened panels are evaluated

Highlights

  • The application of composite materials in marine industries is so ever-increasing that nowadays high- and medium-length ships are being built of them

  • It is clear that the composite stiffened plate panels are the main building components of such ships and derivation of their average stress – average strain curves plays an important role when estimating the ultimate strength of composite ships

  • 2 PROGRESSIVE FAILURE ANALYSIS METHOD Progressive failure of composite materials is considered in the current analyses for study of postbuckling strength of composite panels utilizing Tsai-Wu failure criterion

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Summary

INTRODUCTION

The application of composite materials in marine industries is so ever-increasing that nowadays high- and medium-length ships are being built of them. In these researches, various failure criteria like Tsai-Wu, Maximum stress, Hashin, etc. Petit and Waddoups (1969) used the progressive failure method for the first time and applied Classical Laminated Plate Theory (CLPT) for stress analysis. They first calculated the compression and shear values by means of tensile and compression test. The average stress – average strain curves are obtained for stiffened composite plates of ships by using progressive failure method and the effect of different geometric parameters on these curves are examined for the case of stiffened composite plates

PROGRESSIVE FAILURE ANALYSIS METHOD
CHARACTERISTICS OF FINITE ELEMENT MODELS
VALIDATION
Plates with blade and I-type stiffener
G23 XTXCYTYC S12 S13 S 23
Findings
CONCLUSIONS
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