Parametric Modeling Techniques in Industrial Conceptual Transport Aircraft Design

A series of prediction algorithms suitable for the pre-design stage of industrial conceptual transport aircraft design are derived in this treatise. The methods have been devised by hybridizing statistical correlation of design variables, synthetic functions and macro-objective functions with fractional change analytical constructs. Applicability of these prediction algorithms encompasses personal/micro turbofans, business aircraft from very light to ultra-long range categories to commercial aircraft from commuters to narrow-body transports of around 100 PAX. It is highlighted that the methods have been generated from a dataset of information limited to in-production or formally launched transport aircraft, hence reflects only a contemporary level of technological sophistication.