2015
DOI: 10.1016/j.compstruct.2015.01.036
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Estimation of random field material properties for chopped fibre composites and application to vibration modelling

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Cited by 8 publications
(4 citation statements)
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“…The influence of inevitable variability in materials and geometric properties on natural frequencies and the mobilities of the beam made of chopped strand mat glass fiber reinforced epoxy composite material was presented by Fabro et al. 41 The conducted studies suggest that simple Gaussian random field can be used to model the material and geometric properties to investigate the dynamic behavior of the composite structures.…”
Section: Introductionmentioning
confidence: 99%
“…The influence of inevitable variability in materials and geometric properties on natural frequencies and the mobilities of the beam made of chopped strand mat glass fiber reinforced epoxy composite material was presented by Fabro et al. 41 The conducted studies suggest that simple Gaussian random field can be used to model the material and geometric properties to investigate the dynamic behavior of the composite structures.…”
Section: Introductionmentioning
confidence: 99%
“…Note that and can assume different values so that the correlation is different for each and direction. This is required for the case of, for example, fibre reinforced composites [8,9]. This property ensures that the problem separates into two independent onedimensional problems, so that ( , ) = ( ) ( ) and = .…”
Section: Flexural Vibration Of Platesmentioning
confidence: 99%
“…Structural uncertainty modelling often involves modelling spatial random variability. It becomes even more relevant when dealing with, for instance, composite materials [5][6][7][8][9] or additive manufacturing [10,11]. One of the available tools to describe spatially correlated variability is the random field [12,13], which is a multidimensional random process using a probability measure.…”
Section: Introductionmentioning
confidence: 99%
“…1316 Also, some other works have focused on the fiber alignment, such as randomly dispersed orientations. 17,18…”
Section: Introductionmentioning
confidence: 99%