Aircraft conceptual design using genetic algorithms

Perez, Ruben E.; Chung, Joon; Behdinan, Kamran

doi:10.2514/6.2000-4938

Cited by 44 publications

(18 citation statements)

References 13 publications

(10 reference statements)

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“…Actually, GAs have aroused significant interests in engineering and industrial applications, with an increasing number of studies performed in the last decade. In particular, several applications can be found in the area of aerodynamic design (Ahmed et al, 1996;Raymer and Crossley, 2002), and specifically for the conceptual aircraft design (Gage and Kroo, 1993;Crossley and Laananen, 1996;Blasi et al, 2000;Perez et al, 2000). Nevertheless, the high time-consuming effort required by GAs, is a serious limitation to its successful use in applications of industrial interest.…”

Section: Introductionmentioning

confidence: 96%

A hybrid genetic based optimization procedure for aircraft conceptual analysis

2006

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The problem to define a methodology for the analysis of aircraft performances, in the phase of conceptual design, is addressed. The proposed approach is based on a numerical optimization procedure where a scalar objective function, the take-off weight, is minimized. Deterministic and stochastic approaches as well as hybridizations between these two search techniques are considered. More precisely, we consider two-stage strategies where the optimum localization is performed by a genetic algorithm, while a gradient-based method is used to terminate the optimization process. Also, another type of hybridization strategy is investigated where a partially converged gradient-based method is incorporated in the genetic algorithm as a new operator. A detailed discussion is made and various different solutions are critically compared.The proposed methodology is consistent and capable of giving fundamental information to the designer for further investigating towards the directions identified by the procedure.A basic example is described, and the use of the methodology to establish the effects of different geometrical and technological parameters is discussed. NomenclatureA Sectional area of panel structure, m 2 AR aspect ratio b span, m c chord length, m c L global lift coefficient Springer 152 Optim Eng (2006) 7: 151-171 E efficiency (lift-to-drag ratio) g acceleration of gravity, m/s 2 H cruise altitude, m i root angle, deg L length, m l t distance between aerodynamic centers of wing and stabilizer, m M Mach number N population size N b best-fit individuals ng number of generations p vector of parameters pc probability of crossover pg probability of gradient pm probability of mutation R range at cruise velocity, km S surface area, m 2

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Section: Introductionmentioning

confidence: 96%

A hybrid genetic based optimization procedure for aircraft conceptual analysis

2006

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“…Derivative designs for engineering products provide a cost effective design approach [8]. Many researchers have studied aircraft derivatives design using several different approaches.…”

Section: Derivative Design Processmentioning

confidence: 99%

Enhance Derivative Design Considering Global Sensitivity of Design Parameters

Park

Behdinan

Chung

et al. 2013

PCEEA

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An engineering product design considers derivatives to reduce the life cycle cost and to increase the efficiency on operation when it has new demands. The proposed design process in this study obtains derivative designs based on sensitivity of design variable. The efficiency and accuracy of the derivative design process can be enhanced by implementing global sensitivity analysis. Sensitivity analysis sensors the design variables accordingly and variables with low sensitivity for objective function can be neglected, since computational effort and time is not necessary for a design with less priority. In this research, e-FAST method code for global sensitivity analysis module was developed and implemented on Multidisciplinary Design Optimization (MDO) problem. The wing design was considered for MDO problem that used aerodynamics and structural disciplines. The global sensitivity analysis method was applied to reduce the number of design variables and Collaborative Optimization (CO) was used as MDO method. This research shows the efficiency of reduction of dimensionality of complex MDO problem by using global sensitivity analysis. In addition, this result shows important design variables for design requirement to student when they solving design problem.

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“…Derivative designs for engineering products provide a cost effective design approach [2]. Many researchers have studied the design of aircraft derivatives using several different approaches.…”

Section: Derivative Designmentioning

confidence: 99%

“…However, user requirements can change drastically which can ultimately lead to the inability to respond quickly to these change. Modern engineering productsespecially extremely complex systems such as aircraft, are strongly influenced the structural analysis, aerodynamic analysis, propulsion systems, avionics, and other disciplines [2]. The design of new commercial aircraft constitutes a massive investment over a long development period.…”

Section: Introductionmentioning

confidence: 99%