Aeroelastic Shape and Sizing Optimization of Aircraft Products supported by AGILE Design Paradigm

Daoud, Fernaß

doi:10.2514/6.2017-4141

Cited by 6 publications

(6 citation statements)

References 11 publications

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“…Clearly, the adoption of this constraint reduces the area of the feasibility region A robust design optimization strategy has been defined in order to identify the most efficient design subject to the reliability constraint defined by Eq. (13). The optimal values of the design variables are found on the basis of a gradientbased algorithm and correspond to K = 0.72 and R curv =0.19.…”

Section: Results For Robust Design Optimizationmentioning

confidence: 99%

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Enhancing optimization capabilities using the AGILE collaborative MDO framework with application to wing and nacelle design

Lefèbvre

Bartoli

Dubreuil

et al. 2020

Progress in Aerospace Sciences

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This paper presents methodological investigations performed in research activities in the field of Multi-disciplinary Design and Optimization (MDO) for overall aircraft design in the EU funded research project AGILE (2015AGILE ( -2018. In the AGILE project a team of 19 industrial, research and academic partners from Europe, Canada and Russia are working together to develop the next generation of MDO environment that targets significant reductions in aircraft development

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Section: Results For Robust Design Optimizationmentioning

confidence: 99%

“…The development of a mixed-fidelity MDO strategy was tackled with the integration of high-fidelity design competences and its combination with Overall Aircraft Design (OAD) level. The process is presented in [13] and illustrated in Fig. 4.…”

Section: Design Campaignmentioning

confidence: 99%

Enhancing optimization capabilities using the AGILE collaborative MDO framework with application to wing and nacelle design

Lefèbvre

Bartoli

Dubreuil

et al. 2020

Progress in Aerospace Sciences

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“…Fatigue constraint is also necessary for sizing the bottom skin considering the cyclic tensile load experienced during flight [3,27,28]. Another type of constraints that has been applied in some publications is the aeroelastic requirements regarding aileron effectiveness and flutter speed, which is beyond the scope of stress analysis and normally requires significant additional efforts to find feasible solutions [3,4,12,23,29]. In addition, some manufacturing requirements have also been applied as design constraints, such as the minimum stringer thickness to height ratio [3], and stacking sequence rules for composite parts [8,13,15,19,20,25].…”

Section: Design Load Cases and Constraints Applied In Wing Structural...mentioning

confidence: 99%

Identification of the key design inputs for the FEM-based preliminary sizing and mass estimation of a civil aircraft wing box structure

You

Yasaee

et al. 2022

Aerospace Science and Technology

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“…An overview of the results on the applications is given in Ref. [16] [17] [18] [19] [20]. Figure 3 highlights main achievements, enabling the consortium to solve in 15 months 7 MDAO problems for unconventional aircraft configurations, and minimizing the time spent on deploying the MDAO systems.…”

Section: Overview Agile Paradigm and Agile Frameworkmentioning

confidence: 99%

A MBSE Approach to MDAO Systems for the Development of Complex Products

Ciampa

Nagel

Rocca

2020

Aiaa Aviation 2020 Forum

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The research and innovation AGILE project has developed an approach, the socalled AGILE Paradigm, focusing on the acceleration of the deployment and operation of collaborative Multidisciplinary Design Analysis Optimization systems, which in turns can be exploited to accelerate the development of complex products, such as novel aerospace systems. Although the technologies developed for the implementation of the paradigm, have proved to reduce the deployment and operational time to more than 40% with respect to conventional MDAO approaches, the AGILE Paradigm has not been formalized and model by digital design engineering practices. This work introduces a novel approach leveraging MBSE principles to streamline the development of agile MDAO design systems, and establishing a bridge between MBSE and MDAO. Major outcomes here presented are the MBSE-driven models of the so-called AGILE MDAO system, representing the architecture, the requirements, as well as the organizational aspects, and all the interactions and activities implemented during the life-cycle stages of the MDAO system. The MBSE Architectural Framework, which defines the underlying ontological concepts and perspectives driving the development of the AGILE MDAO system model, are modeled and presented as well. The paper introduces for the first time the overall approach, as well as the high-level elements of the models developed, here represented by making use of SysML standard. The described approach is at the core of the recently launched project AGILE4.0, in which its scope will be expanded to cover the entire life-cycle of the development of complex aeronautical systems.

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Aeroelastic Shape and Sizing Optimization of Aircraft Products supported by AGILE Design Paradigm

Cited by 6 publications

References 11 publications

Enhancing optimization capabilities using the AGILE collaborative MDO framework with application to wing and nacelle design

Enhancing optimization capabilities using the AGILE collaborative MDO framework with application to wing and nacelle design

Identification of the key design inputs for the FEM-based preliminary sizing and mass estimation of a civil aircraft wing box structure

A MBSE Approach to MDAO Systems for the Development of Complex Products

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