Statistical modelling of compression and fatigue damage of unidirectional fiber reinforced composites

Mishnaevsky, Leon; Brøndsted, Povl

doi:10.1016/j.compscitech.2008.11.024

Cited by 43 publications

(32 citation statements)

References 38 publications

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“…[27,28]). While one may use digitized versions of such real microstructures, we adopt a more computational approach in that we generate artificial microstructural arrangements mimicking real composites [29].…”

Section: Rve Generation and Characterization Of Micro-architecturesmentioning

confidence: 96%

Micromechanics of diffusion-induced damage evolution in reinforced polymers

Abhilash

Joshi

Mukherjee

et al. 2011

Composites Science and Technology

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Section: Rve Generation and Characterization Of Micro-architecturesmentioning

confidence: 96%

Micromechanics of diffusion-induced damage evolution in reinforced polymers

Abhilash

Joshi

Mukherjee

et al. 2011

Composites Science and Technology

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“…The analysis of the composite can be carried out through the analysis of the interaction of the discrete fibers. Since a large number of fibers are used in a fiber reinforced composite material, the interaction of these fibers was conventionally studied by the Monte-Carlo method [10,11]. However, the Monte Carlo method cannot take into account the matrix effect, and the numerical results can hardly interpret the experimental investigations.…”

Section: Introductionmentioning

confidence: 99%

Microstructure effects on transverse cracking in composite laminae by DEM

Sheng¹,

Yang²,

Tan³

et al. 2010

Composites Science and Technology

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A particle discrete element method (DEM) was employed to simulate transverse cracking in laminated fiber reinforced composites. The microstructure of the laminates was modeled by a DEM model using different mechanical constitutive laws and materials parameters for different constituents, i.e., fiber, matrix and fiber/matrix interface. Rectangular, hexagonal and random fiber distributions were simulated to study the effect of fiber distribution on the transverse cracking. The initiation and dynamic propagation of transverse cracking and interfacial debonding were all captured by the DEM simulation, which showed similar patterns to those observed from experiments. The effect of fiber volume fraction was also studied for laminae with randomly distributed fibers. It was found that the distribution and volume fraction of fibers affected not only the transverse cracking path, but also the behavior of matrix plastic deformation and fiber/matrix interface yielding in the material.

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“…It is demonstrated that the clustering of fibers has a negative effect on the damage resistance of a composite (Figure , right). Further, the static compressive loading model is generalized for the case of cyclic compressive loading, with and without microdegradation of the matrix and with and without random variations of loading . It was observed that the random variations of loading shorten the lifetime of the composite: the larger the variability of applied load, the shorter the lifetime.…”

Section: How Do the Microstructures Of Wind Turbine Blade Materials Imentioning

confidence: 99%

Materials of large wind turbine blades: recent results in testing and modeling

et al. 2011

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The reliability of rotor blades is the pre‐condition for the development and wide use of large wind turbines. In order to accurately predict and improve the wind turbine blade behavior, three main aspects of the reliability and strength of rotor blades were considered: (i) development of methods for the experimental determination of reliable material properties used in the design of wind turbine blades and experimental validation of design models, (ii) development of predictive models for the life prediction, prediction of residual strength and failure probability of the blades and (iii) analysis of the effect of the microstructure of wind turbine blade composites on their strength and ways of microstructural optimization of the materials. By testing reference coupons, the effect of testing parameters (temperature and frequency) on the lifetime of blade composites was investigated, and the input data for advanced design of wind turbine blades were collected. For assessing the residual strength and stiffness of wind turbine blades subjected to irregular cyclic loads, a shell‐based finite element numerical methodology was developed, taking into account the non‐linear response of plies, and experimentally validated. Two methods of structural reliability estimation of the blade, which take into account the stochastic nature of the anisotropic material properties and loads, were developed on the basis of the response surface method and the Edgeworth expansion technique, respectively. The effects of fiber clustering, misalignments, interface properties and other factors on the strength and lifetime of the wind turbine blade materials were investigated in the micromechanical finite element simulations. The results described in this paper stem from the Rotor Structure and Materials task of the UPWIND project. Copyright © 2011 John Wiley & Sons, Ltd.

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Statistical modelling of compression and fatigue damage of unidirectional fiber reinforced composites

Cited by 43 publications

References 38 publications

Micromechanics of diffusion-induced damage evolution in reinforced polymers

Micromechanics of diffusion-induced damage evolution in reinforced polymers

Microstructure effects on transverse cracking in composite laminae by DEM

Materials of large wind turbine blades: recent results in testing and modeling

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