2014
DOI: 10.1007/s00158-014-1136-5
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Robust design and optimization of composite stiffened panels in post-buckling

Abstract: Multilevel optimization including progressive failure analysis and robust design optimization for composite stiffened panels, in which the ultimate load that a post-buckled panel can bear is maximized for a chosen weight, is presented for the first time. This method is a novel robust multiobjective approach for structural sizing of composite stiffened panels at different design stages. The approach is integrated at two design stages labelled as preliminary design and detailed design. The robust multilevel desi… Show more

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Cited by 35 publications
(20 citation statements)
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“…In Bacarreza et al (2015) the problem was initially defined as a multi-objective optimization aimed to maximize both the reaction force Rf and the internal energy En, subject to the fulfillment of a certain value of the reaction force Rf =655.0 kN.…”
Section: Formulation Of the Deterministic Optimization Problemmentioning
confidence: 99%
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“…In Bacarreza et al (2015) the problem was initially defined as a multi-objective optimization aimed to maximize both the reaction force Rf and the internal energy En, subject to the fulfillment of a certain value of the reaction force Rf =655.0 kN.…”
Section: Formulation Of the Deterministic Optimization Problemmentioning
confidence: 99%
“…In order to predict the collapse load properly, post-buckling and progressive damage analyses are considered as an intrinsic part of the problem. In this study the reference panel employed is obtained from the preliminary design optimization phase performed in Bacarreza et al (2015), where the number of plies, number of stiffeners and geometry dimensions were considered as design variables, being the targets to minimize the mass and the Tsai-Wu index and maximize the reaction force.…”
Section: Introductionmentioning
confidence: 99%
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“…To overcome the computational problems, an alternative strategy of constructing approximate models (also known as surrogate models or response surface models) to replace the expensive FEM simulation in the optimization process has been extensively used in recent years. A number of methods have been successfully applied to build the global/local approximation models for postbuckling anal-ysis of composite structures, for example, the polynomial regression function [8], Articial Neural Networks [9,10], Radial Basis Functions [10] and Kriging method [9]. The minimum weight design of composite structural components (stiened panels and shells) considering their postbuckling response was carried out using these tools or approximate models.…”
Section: Introductionmentioning
confidence: 99%