45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics &Amp;amp; Materials Conference 2004
DOI: 10.2514/6.2004-2018
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A Numerical Method for Cost-Weight Optimisation of Stringer-Skin Panels

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Cited by 12 publications
(12 citation statements)
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“…Their review article gives a broad overview of what has been done within cost estimation [15]. They also described how DOC was simplified for optimization purposes [16]. The quantification of the weight penalty, however, is not simple, as the effect of weight reductions depends on the perspective in which the methodology is used.…”
Section: Introductionmentioning
confidence: 99%
“…Their review article gives a broad overview of what has been done within cost estimation [15]. They also described how DOC was simplified for optimization purposes [16]. The quantification of the weight penalty, however, is not simple, as the effect of weight reductions depends on the perspective in which the methodology is used.…”
Section: Introductionmentioning
confidence: 99%
“…A previous analysis of T-stringer panels has shown that the choice of objective function is crucial (Curran et al 2006). Very different results for the design parameters were obtained according to the objective function, and the minimum weight condition was found not to be the optimal solution from a minimum life cycle cost point of view.…”
Section: Definition Of the Objective Functionmentioning
confidence: 96%
“…It is composed of two terms: the acquisition cost (AC) and the fuel burn (FB), the acquisition cost being the manufacturing cost (MFC) multiplied by a weight factor n. For the majority of the flight sectors, the acquisition cost contributes two to four times more than the cost of fuel burn to the DOC. In keeping with the panel sizes addressed in the paper, it was shown that a 50% weighting for acquisition cost and 15% weighting for fuel burn is reasonable for the DOC split for an aircraft in the regional aircraft sector (Curran et al 2006). Consequently, the factor n was determined by fitting the cost results for a panel traditionally optimised for weight and the above mentioned percentage.…”
Section: Life Cycle Cost Modellingmentioning
confidence: 99%
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