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Optimization of Scaled Composite Wing of Aircraft Jas-39 By Genetic Algorithm

Zamani, Vahid | 2008

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 39408 (45)
  4. University: Sharif University of Technology
  5. Department: Aerospace Engineering
  6. Advisor(s): Abedian, Ali
  7. Abstract:
  8. Popular usage of composite materials in aerospace, civil and defense industries in the last decades has been caused more attention to optimization of composite problems. Due to natural complexity of composite problems, i.e. discrete nature, complex dependence between design variables, existence of too much local optimum and etc., traditional methods of optimization are inefficient and it is necessary to use a powerful method to work cost effectively. Genetic algorithm as a technique through evolutionary algorithms is the most popular methods of tackling composite problems. The success of a genetic algorithm can be quantified by estimating the cost, time required and the quality of final solution obtained. GAs required the specification of a number of parameters for which users usually don’t know how to specify i.e. cross over rate, mutation rate population size and etc. In the present thesis, the composite wing of scaled aircraft Jas-39, is 3-dimensionally modeled. Finite element methods beside genetic algorithm are taken to analyze and optimize the composite wing. Developing a software pack to associate between these methods, provides a complete solution to deal with any composite optimization problem, independent of any geometry, loading type, boundary conditions, design variables, design constraints and complexity of solution. Comparison between results of these methods and other classic algorithms, implies advantages of genetic algorithm both quantitatively and qualitatively, but it still denotes the necessity of reducing of time cost
  9. Keywords:
  10. Genetic Algorithm ; Optimization ; Composite ; Finite Element Method ; Reverse Engineering ; Geometric Modeling ; Wing

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