| Aircraft design is a complicated multistage process, involving many different disciplines such as aerodynamics, structural, propulsion and flight control, etc. In mission definition stage, conceptual design phase and preliminary design phase, multidisciplinary optimization is especially significant for improving integration performance of aircraft. However, for aircraft design, it is really difficult to realize multidisciplinary optimization. Aircraft design is characterized by multidisciplinary interactions in which participating disciplines are intrinsically linked to one another. Discipline analysis is complicated and time cost. Furthermore, such an integrated implementation is also subjected to complexities introduced as a result of a large number of design variables and constraints. For the above reasons, it is actually very difficult to organize specialists of different disciplines to realize aircraft integrated optimization. Conventional optimization methods are not capable of solving this problem, while multidisciplinary design optimization (MDO) method has been emerged especially for such complicated engineering integrated optimization problem.The objective of this work is to explore MDO method and its application in aircraft design. Our researches are mainly listed below:(1) Exiting MDO methods is reviewed and analyzed. Their optimization architecture is depicted clearly in diagram. The advantages and disadvantages of these methods are discussed and analyzed.(2) Approximation is one of the most important critical techniques in MDO. In this study, some usual approximation modeling techniques for MDO are investigated. A test case and an engineering design problem are utilized to compare quadratic response surface method, Kriging models and neutral networks, on their capacity of modeling function of high or low dimension and function of high or low order. Based on this, some suggestions for choosing approximation techniques in engineering...
|
PDF Full Text Request