z-logo
open-access-imgOpen Access
A Probabilistic Design Methodology for Commercial Aircraft Engine Cycle Selection
Author(s) -
Dimitri N. Mavris,
Noel I. Macsotai,
Bryce Roth
Publication year - 1998
Publication title -
sae technical papers on cd-rom/sae technical paper series
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.295
H-Index - 107
eISSN - 1083-4958
pISSN - 0148-7191
DOI - 10.4271/985510
Subject(s) - selection (genetic algorithm) , probabilistic logic , automotive engineering , computer science , reliability engineering , environmental science , aeronautics , engineering , artificial intelligence
The objective of this paper is to examine ways in which to implement probabilistic design methods in the aircraft engine preliminary design process. Specifically, the focus is on analytically determining the impact of uncertainty in engine component performance on the overall performance of a notional large commercial transport, particularly the impact on design range, fuel burn, and engine weight. The emphasis is twofold: first is to find ways to reduce the impact of this uncertainty through appropriate engine cycle selections, and second is on finding ways to leverage existing design margin to squeeze more performance out of current technology.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom