The Multidisciplinary Design Optimization of a Reentry Vehicle Using Parallel Genetic Algorithms
محل انتشار: مجله علوم و مهندسی هوافضا، دوره: 7، شماره: 1
سال انتشار: 1389
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 79
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شناسه ملی سند علمی:
JR_JASTI-7-1_001
تاریخ نمایه سازی: 29 مرداد 1402
چکیده مقاله:
The purpose of this paper is to examine the multidisciplinary design optimization (MDO) of a reentry vehicle. In this paper, optimization of a RV based on, minimization of heat flux integral and minimization of axial force coefficient integral and maximization of static margin integral along reentry trajectory is carried out. The classic optimization methods are not applicable here due to the complexity of the equations, therefore in this research, the genetic algorithm technique is utilized for optimization of the RV. In addition, the results of the genetic algorithm, are validated with those of two other methods, Pareto genetic algorithm and response surface method. In the present paper, in order to decrease the computational time, parallel processing strategy is employed
نویسندگان
Ali Moosavi
KHaje Nasir Toosi University of Technology
Masoud Mirzaei
K.N.Toosi University of Technology
Jafar Dr. Roshanian
Khaje Nasir Univ.