Developing a stochastic linear elastic material model and composite laminate theory including failures, using the fiber bundle–based approach—Part II: Stochastic composite laminate theory

Using the fiber bundle cells (FBCs)-based stochastic material model developed in the first part of this paper, we derived a stochastic version of the classical composite laminate theory (SCLT) for controlled multiaxial deformation, where the strength parameters are stochastic variables. This model (SCLT) enables to describe both the deformation and the damage processes in each lamina up to the ultimate failure. By discussing some examples of simpler tensile load, we demonstrate the applicability of the results.

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Publication Details

Journal
Journal of Composite Materials
Published
2024-12-07
DOI
https://doi.org/10.1177/00219983241302780
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
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article

Developing a stochastic linear elastic material model and composite laminate theory including failures, using the fiber bundle–based approach—Part II: Stochastic composite laminate theory

László Mihály Vas, Tamás Péter
Journal of Composite Materials
Probabilistic and Robust Engineering Design
article

Developing a stochastic linear elastic material model and composite laminate theory including failures, using the fiber bundle–based approach—Part II: Stochastic composite laminate theory

László Mihály Vas, Tamás Péter
article en

Abstract

Using the fiber bundle cells (FBCs)-based stochastic material model developed in the first part of this paper, we derived a stochastic version of the classical composite laminate theory (SCLT) for controlled multiaxial deformation, where the strength parameters are stochastic variables. This model (SCLT) enables to describe both the deformation and the damage processes in each lamina up to the ultimate failure. By discussing some examples of simpler tensile load, we demonstrate the applicability of the results.

Journal of Composite MaterialsVol. 59(9)
Budapest University of Technology and Economics (HU)
Openalex Percentile: Top 78%
Probabilistic and Robust Engineering Design
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