科研之友
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摘要
Aircraft conceptual design is traditionally carried out by manipulating low-fidelity analysis methods such as empirical equations or simplified physics. In an optimization framework, predicted optimum conceptual designs often lie directly on one or more of the specified constraint boundaries. Any discrepancies introduced by approximating the constraint values may result in designs that are found to fall short of performance targets when subjected to better analysis methods later in the design process. This research uses historical data to estimate the discrepancies associated with the simplified analysis methods commonly used in aircraft conceptual designs. A design optimization framework was developed that implements reliability-based design optimization methods to compensate for the discrepancies associated with the approximate analysis methods. This yields optimized aircraft conceptual designs that are less likely to fail to meet any specified performance requirements when reevaluated using high-fidelity methods later in the design process.
- 出版日期2011-10
