2015
DOI: 10.1016/j.tws.2015.01.002
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A semi-analytical approach for linear and non-linear analysis of unstiffened laminated composite cylinders and cones under axial, torsion and pressure loads

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Cited by 27 publications
(6 citation statements)
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References 26 publications
(42 reference statements)
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“…is the geometric stiffness matrix calculated using the pre-buckling in-plane stresses. Their detailed derivation can be found in Castro et al [9,11,12,13], and the implementation is publicly available in a Python package [8]. Both and are integrated numerically, given that the constitutive stiffness represented by the the ABD matrix spatially changes due to fibre steering.…”
Section: Semi-analytical Approachmentioning
confidence: 99%
“…is the geometric stiffness matrix calculated using the pre-buckling in-plane stresses. Their detailed derivation can be found in Castro et al [9,11,12,13], and the implementation is publicly available in a Python package [8]. Both and are integrated numerically, given that the constitutive stiffness represented by the the ABD matrix spatially changes due to fibre steering.…”
Section: Semi-analytical Approachmentioning
confidence: 99%
“…Semi-analytical methods are extremely recommended when the structural matrices can be analytically integrated, because these methods are able to approximate the continuum with less degrees-of-freedom when compared to other lower-order interpolation methods such as finite elements. However, when numerical integration is needed, the nonlocal support of the degrees-of-freedom involved in semianalytical modelling requires integrands of the size of the entire structural matrices to be evaluated per integration point, making the integration process slower [16,17]. Even tough the integration becomes slower, the reduced number of degrees-of-freedom to discretize the continuum might compensate [10].…”
Section: Fast Buckling Evaluation Of Variable Stiffness Platesmentioning
confidence: 99%
“…Gaussian quadrature integration is perhaps the most popular solution, already implemented in a freely available Matlab low-loss EELS simulation package 9 . Inspired on this solution, we have implemented a faster, multidimensional version using the freely available cubature Python wrapper [28][29][30] . Simpson-rule method is based on the well-known numerical integration formula, generalized for irregularly-spaced data meshes.…”
Section: A Optimization Of the Relativistic Ddcs Integrationmentioning
confidence: 99%