2023
DOI: 10.1016/j.compstruct.2022.116361
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New symplectic analytic solutions for buckling of CNT reinforced composite rectangular plates

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Cited by 19 publications
(2 citation statements)
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“…Meng et al [42] estimated the state of nonlinear generalized systems subject to algebraic constraints by generalized inverse technique. Li et al [43][44][45][46][47][48] proposed a new analytic approach, which is the combination of a symplectic geometry approach and the superposition approach, to handle non-Lévy-type thin/thick plate problems. In proposing a novel analytic approach, it should be pointed out that although the above approaches can offer precise analytic data for flexural problems of non-Lévy-type plates, the vast majority of these methods are only suitable for some specific non-Lévy-type boundaries.…”
Section: Introductionmentioning
confidence: 99%
“…Meng et al [42] estimated the state of nonlinear generalized systems subject to algebraic constraints by generalized inverse technique. Li et al [43][44][45][46][47][48] proposed a new analytic approach, which is the combination of a symplectic geometry approach and the superposition approach, to handle non-Lévy-type thin/thick plate problems. In proposing a novel analytic approach, it should be pointed out that although the above approaches can offer precise analytic data for flexural problems of non-Lévy-type plates, the vast majority of these methods are only suitable for some specific non-Lévy-type boundaries.…”
Section: Introductionmentioning
confidence: 99%
“…These unique properties have been widely used in the aerospace, civil, mechanical and biomedical engineering fields [25][26][27]. Hu et al [28] presented new analytic solutions for the buckling of non-Lévytype, carbon nanotube (CNT)-reinforced, composite rectangular plates and the buckling problems of cantilever, free, and clamped plates. Lei et al [29,30] used the element-free kp-Ritz method to conduct a buckling analysis of functionally graded composite laminated plates under various in-plane mechanical loads.…”
Section: Introductionmentioning
confidence: 99%