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Multidisciplinary Design Optimization of a Guided Flying Vehicle Considering Uncertainties

Zandavi, Miad | 2014

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 46070 (45)
  4. University: Sharif University of Technology
  5. Department: Aerospace Engineering
  6. Advisor(s): Pourtakdoust, Hossein
  7. Abstract:
  8. Uncertainty-based Multidisciplinary Design Optimization (UMDO) is a growing approach in design of complex engineering which has been of great interest to many design bureau and research center especially in field of aerospace. The UMDO goal is to achieve a global optimum design using effective disciplines, interdisciplinary relations and appropriate uncertainty modeling. In this regard, choosing main analysis, design discipline, uncertainty modeling and their content fitness, formulating the problem structure, interaction of disciplines, modeling level of fidelity and the optimization method are the most important challenge of the MDO problem so UMDO is a new trend of MDO, and have been the base of many researches in recent years. In this thesis, UMDO of a guided flying vehicle has been defined, modeled and solved by focusing on aerodynamic shape optimization. This UMDO, aerodynamic, dynamic, guidance, controls and structure based on six-degree of freedom simulation disciplines are used in an appropriate combination and maximum payload, minimum miss distance and maximum range are considered as objective functions with 24 design variables. The high level of fidelity of computer code is developed for each discipline. In this model, the uncertainties are modeled in structure, aerodynamic and control
  9. Keywords:
  10. Uncertainty ; Heuristic Algorithm ; Multidisciplinary Optimization ; Optimal Design ; Uncertainty-Base Multidisciplinary Design Optimization ; Guided Flying Vehicle

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