2002
DOI: 10.2514/2.1683
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Feasible Region in General Design Space of Lamination Parameters for Laminated Composites

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Cited by 68 publications
(35 citation statements)
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“…It is known (see Gürdal et al 1999 andDiaconu et al 2002) that there exist the following relationships between the out-of-plane lamination parameters:…”
Section: Lamination Parameter-based Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…It is known (see Gürdal et al 1999 andDiaconu et al 2002) that there exist the following relationships between the out-of-plane lamination parameters:…”
Section: Lamination Parameter-based Methodsmentioning
confidence: 99%
“…This is beneficial for the design optimization of composite laminates as it reduces the number of design variables. Diaconu et al (2002) used a variational approach to determine feasible regions in the space of lamination parameters as constraints in the optimization problem. Matsuzaki and Todoroki (2007) used the fractal branch-and-bound method for the stacking sequence optimization of non-symmetric composite laminates where the inplane, out-of-plane and coupling lamination parameters were treated as design variables.…”
Section: Introductionmentioning
confidence: 99%
“…A method for obtaining an approximate feasible region is presented in [41]. [12] developed an approach to define a feasible region for all 12 lamination parameters, which was further extended by [8]. In particular, [13] derived explicit expressions describing the feasible region for ply angles limited to {0 • , ±45 • , 90 • }.…”
Section: Related Workmentioning
confidence: 99%
“…The feasible LP region is known to be convex [8,12,23], and a closed-form expression has been defined only for a limited number of combinations of the lamination parameters [41]. Expressions for a limited set of LPs have been derived by different authors.…”
Section: Related Workmentioning
confidence: 99%
“…A more accurate boundary for the feasible region can be derived based on Bloomeld et al's work [21], in which stronger links between the lamination parameters from each design subspace are obtained by using the following algebraic identity [12],…”
Section: B New Constraintsmentioning
confidence: 99%