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Modélisation et optimisation multidisciplinaire robuste de l'avion dans le système du transport aérien

Abstract : For decades, the economic stakes associated with the design, development and operations of aircraft have been strong drivers for pursuing technological and operational efforts to reduce aircraft fuel consumption. Since the Grenelle de l'environnement and the establishment of the Conseil pour la Recherche Aéronautique Civile (CORAC) in 2008, both environmental concerns and ambitions have further exacerbated the expectations of the air transport system (ATS) towards sustainable development. Finally, the widespread awareness, during COP 21 in Paris, of the climate urgency makes it necessary to bring together all the knowledge and know-how to decarbonize air transport. Aircraft optimization is an essential part of its design and oper- ations, and it involves multiple disciplines. Multi- Disciplinary Optimization (MDO) processes and methods have steadily advanced since they were first developed and used in the scientific community and in the industry in the 1980s. They are now increasingly used at every stage of new aircraft design. The objective of their iterative approach to the problem is to converge towards better solutions. It tends to be used in all phases of the process, from automated aero- structural multidisciplinary analyses based on models of different levels of fidelity, to the overall industrial process aimed at meeting the needs of airlines companies. Despite these efforts, the aircraft is in fact hardly ever operated on the conditions that are defined in the design requirements (technical, geometrical, operational, and regulatory) and that are used for optimizing it from the very early stage of its development process. This implies a loss of optimality of the ATS when fulfilling its fundamental mission: to carry passengers, freight, and mail from one place to another through air transportation. Having noticed this, we ask the following question: is it possible to improve the airplane and make it more robust, from an operational point of view, by tying the link, from the conceptual design phase, with the ATS and its other components, through new MDO formulations? To answer this question, we propose the following methodology. First, we position the aircraft in the ATS in order to better understand and better represent how the aircraft contribute to the ATS activity, but also in order to capture how the operations influence the aircraft design. Our second step consists in gathering data to observe real aircraft operations, such as those obtained via flight data recorder, in order to create meaningful models, and an overall aircraft design (OAD) tool to simulate the conceptual design process of an aircraft. During the last step, we focus on three use cases. The first quantifies the loss of operational optimality due to range variability. The second use case tackles the take-off distance requirements and turn them from design constraints to design variables in the MDO formulation. Finally, the last use case considers cruise variabilities, as observed and modelled, in the conceptual design process. The first chapter of this thesis presents a review of the academic and industrial practices with regards to aircraft design and the representation of the ATS, a synthesis of available operational data and conceptual airplane design tools, as well as a state of the art on how the operations are taken into account in the design process and on the mathematical methods and tools used in this thesis. The second chapter addresses the calibration of the MARILib aircraft conceptual tool, and the processing of the operational data used, how we enrich them and which models we build from them. The third and last chapter describes the three use cases. Finally, a conclusion recalls the main contributions of this thesis, discusses its limits, and presents the related perspectives.
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https://theses.hal.science/tel-03865172
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Submitted on : Tuesday, November 22, 2022 - 10:55:42 AM
Last modification on : Friday, November 25, 2022 - 4:36:12 PM

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2022TOU30113a.pdf
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  • HAL Id : tel-03865172, version 1

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Nicolas Peteilh. Modélisation et optimisation multidisciplinaire robuste de l'avion dans le système du transport aérien. Optimisation et contrôle [math.OC]. Université Paul Sabatier - Toulouse III, 2022. Français. ⟨NNT : 2022TOU30113⟩. ⟨tel-03865172⟩

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