1,721,141 research outputs found
Identification and Damage Detection using FRF Experimental Data with Applications to a Wing Structure
No full textMulti-disciplinary and multi-objective optimization of an unconventional aircraft concept
No full textThe aerospace engineering typically deals with multidisciplinary complex systems, and narrow margins of the design parameters make necessary the introduction of optimization approaches in order to pick optimal designs. In the present paper, an integrated computational environment has been implemented for the Multidisciplinary Design Optimization (MDO) of a non-conventional aircraft concept comprised of fuselage, tail and wing. The problem has been solved through an explicit Multi-Objective Optimization (MOO), where the optimization criteria include minimum Empty Weight and minimum Fuel Weight, taking into account of structural, aeroelastic and mission constraints. The level of fidelity for the involved disciplines is a relevant issue when iterative analyses are addressed and a compromise between high-delity and computational burden should be found. In the present paper high-fidelity analyses for the structural and aeroelastic assessment, together with middle-fidelity analyses for the aerodynamic, mission and performance analyses are performed. A complex MultiDisciplinary Analysis framework is proposed, in order to account for the interdisciplinary interaction and to provide self-consistent analyses. In this work Multi Objective Genetic Algorithm (MOGA) is applied for evaluating the Pareto frontier in the objective space of Empty Weight and Fuel Weight for the Over-the-Wing-Nacelle concept. This gives the designer a good overview of a multidisciplinary problem because it allows one to quantitatively model the coupling between the disciplines, in terms of constraints, design variables in uences, and possible trade-offs among the objectives
Analysis of Pareto frontiers for multidisciplinary design optimization of aircraft
No full textThe goal of this work is the development of a methodology and a computational environment to enable a Pareto frontier analysis for the preliminary design optimization of a wing / horizontal tail / fuselage aircraft configuration. Integrated Multidisciplinary Design Optimization (MDO) is used to minimize a composite multi-objective function. A Pareto frontier in the 3-D objective space of weight (minimum), aerodynamic efficiency (maximum), and mission range (maximum) is constructed for the actual configuration of a regional aircraft. MDO techniques improve upon the obtained solution compared to classical sequential design, as they account for all interactions and influences between the disciplines under investigation. The multi-objective problem is solved by generating a set of Pareto optimal solutions that constitute a Pareto frontier. Three different formulations of the Weighed Global Criterion (WGC) method are used, and these functional formulations are analyzed and the concept of a Local Approximation Function is developed to build the Pareto frontier. The developed algorithm uses a commercial optimization code and a commercial finite element code to perform the required analyses. Finally, a criterion for selecting an ultimate design solution for the aircraft on the Pareto frontier is addressed
Organizzazione congresso IFASD 1997
No full textIl convegno internazionale a cadenza biennale raduna gli esperti nel settore aerospaziale dell'aeroelasticità e della dinamica strutturale
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