2020
DOI: 10.1007/s11709-020-0658-8
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Uncertainty propagation in dynamics of composite plates: A semi-analytical non-sampling-based approach

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Cited by 6 publications
(2 citation statements)
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“…Recent developments in neural network-based approaches, manifold methods, and NURBS-based methods enhance the performance of classic approaches in plate stability and dynamics [30][31][32][33][34][35][36]. Different practical stochastic frameworks and sensitivity analyses can be found in literature and applied in stochastic polymer composites simulations [37][38][39][40][41][42][43][44][45][46].…”
Section: Research Articlementioning
confidence: 99%
“…Recent developments in neural network-based approaches, manifold methods, and NURBS-based methods enhance the performance of classic approaches in plate stability and dynamics [30][31][32][33][34][35][36]. Different practical stochastic frameworks and sensitivity analyses can be found in literature and applied in stochastic polymer composites simulations [37][38][39][40][41][42][43][44][45][46].…”
Section: Research Articlementioning
confidence: 99%
“…Composite structures are sensitive not only design parameters of conventional materials, but also the parameters such as angular orientation, elasticity of fibres, shear modulus, fibre to resin ratio, thicknesses of the ply, etc, which affect the mechanical properties of the composites [10][11][12]. Therefore, sensitivity analysis of composites is a hot research area among researchers [13][14][15][16][17]. Amongst these, Kengtung [3] examined the static response sensitivity of symmetric laminated composite plates for small rates of orientation angle change.…”
Section: Introductionmentioning
confidence: 99%