1993
DOI: 10.2514/3.49033
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Optimum Design of Laminated Composite Plates Using Lamination Parameters

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Cited by 138 publications
(62 citation statements)
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“…tens of thousand) of hyperplane constraints describing the convex hull geometry. In contrasts to numerical approaches, the analytical derivation of feasibility constraints leads to a compact description of the lamination parameters space boundaries [17,7]. The 22 non-linear constraints summarised in Eq.…”
Section: Lamination Parameters Feasible Spacementioning
confidence: 99%
“…tens of thousand) of hyperplane constraints describing the convex hull geometry. In contrasts to numerical approaches, the analytical derivation of feasibility constraints leads to a compact description of the lamination parameters space boundaries [17,7]. The 22 non-linear constraints summarised in Eq.…”
Section: Lamination Parameters Feasible Spacementioning
confidence: 99%
“…Since the lamination parameters are defined in terms of trigonometric functions in (14), they are bounded by constraints (Fukunaga and Sekine 1992;Miki and Sugiyama 1993). In order to find a physically meaningful combination of in-plane lamination parameters, the following requirements (Setoodeh et al 2005) are used as constraints:…”
Section: Optimisation Formulationmentioning
confidence: 99%
“…For this optimisation, the material properties are modelled using lamination parameters (Tsai and Pagano 1968), similar to previous work by Fukunaga and Vanderplaats (1991), Fukunaga and Sekine (1992), Miki and Sugiyama (1993), Abrate (1994), where lamination parameters are applied to model and optimise composite plates and shells, or wing structures in Liu and Haftka (2004). In Abdalla et al (2007) and Kameyama and Fukunaga (2007), the lamination parameters are applied for aeroelastic tailoring of composite wing structures, and in Gürdal and Olmedo (1993) and Setoodeh et al (2006), they are used to model variable stiffness composite plates.…”
Section: Introductionmentioning
confidence: 99%
“…The feasible region in lamination parameter space is know to be convex, 18 which is well suited for efficient gradient based optimisers. While the feasible space for membrane or bending only cases can be given analytically, 19 currently no closed form solution for the combined feasible domain is known. Therefore it is typically approximated by a set of linear constraints obtained through successive convex hull approximations.…”
Section: -7mentioning
confidence: 99%