1990
DOI: 10.2514/3.45909
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Minimizing life cycle cost for subsonic commercial aircraft

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Cited by 31 publications
(10 citation statements)
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“…Similar results have been shown using MDO methodologies for aircraft design. 21 Figure 14 shows drag coefficient for the different designs. It should be noted that designs for all of the figures of merit resulted in drag coefficients lower than that of the baseline.…”
Section: Resultsmentioning
confidence: 98%
“…Similar results have been shown using MDO methodologies for aircraft design. 21 Figure 14 shows drag coefficient for the different designs. It should be noted that designs for all of the figures of merit resulted in drag coefficients lower than that of the baseline.…”
Section: Resultsmentioning
confidence: 98%
“…1 The mathematical optimization methods have been increasingly suggested to search the optimal configuration parameters during aircraft conceptual design. Traditionally, the mathematical optimization problem for the civil jet conceptual design is formulated as follows: the objective is usually to minimize the costs 2 or/and environmental impacts [3][4][5] of aircraft, the design variables are related to the parameters of aircraft configuration and engine, and the constraints are usually imposed according to the design requirements. Once such an optimization problem with the constraints is formulated, the various optimization methods, such as sequential quadratic programming (SQP) or genetic algorithm (GA), can be used to solve the optimization problem.…”
Section: Introductionmentioning
confidence: 99%
“…In the economics design process, the basic goal is to reduce the life cycle cost, but for different customer group preferences are different, for the optimization of each component of the cost should also considered. In the design phase, aircraft life cycle cost can be decided more than 70% [2]. Therefore, how to strengthen the economics early in development of aircraft design, and runs through the whole life cycle of products, which has great significance.…”
Section: Introductionmentioning
confidence: 99%