A high-bypass ratio turbofan is considered for a civil transport; an optimization procedure based on a hybrid evolutionary algorithm, which employs a genetic algorithm, differential evolution and particle swarm optimization in parallel, is used to minimize the aircraft take-off gross weight, given payload, take-off and landing distances, time to climb to cruise altitude, and range. Different performance indexes are also considered for the sake of comparison. The procedure provides the optimal values of wing loading and engine design variables. Off-design analysis is embedded into the optimization code to assess the fulfillment of performance constraints.

Optimization of Civil Turbofan with Evolutionary Algorithms / Casalino, Lorenzo; Pastrone, Dario Giuseppe. - ELETTRONICO. - (2012), pp. 1-11. (Intervento presentato al convegno 48th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit tenutosi a Atlanta, GA nel 29 July - 1 August 2012) [10.2514/6.2012-4139].

Optimization of Civil Turbofan with Evolutionary Algorithms

CASALINO, LORENZO;PASTRONE, Dario Giuseppe
2012

Abstract

A high-bypass ratio turbofan is considered for a civil transport; an optimization procedure based on a hybrid evolutionary algorithm, which employs a genetic algorithm, differential evolution and particle swarm optimization in parallel, is used to minimize the aircraft take-off gross weight, given payload, take-off and landing distances, time to climb to cruise altitude, and range. Different performance indexes are also considered for the sake of comparison. The procedure provides the optimal values of wing loading and engine design variables. Off-design analysis is embedded into the optimization code to assess the fulfillment of performance constraints.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2503130
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