Investigation of Multi-Disciplinary Optimisation for Aircraft Preliminary Design

Gazaix, Anne; Gendre, Pascal; Chaput, Eric; Blondeau, Christophe; Carrier, Gérald; Schmollgruber, Peter; Brézillon, Joël; Kier, Thiemo

doi:10.4271/2011-01-2761

Cited by 11 publications

(31 citation statements)

References 24 publications

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“…In order to enable a basic MDO of complex engineering products, it is first and foremost essential to be able to develop the necessary disciplinary models which will in turn be used as the building blocks of the optimization framework [32]. The number and complexity of the models depend on several factors, while as a general rule, it can be observed that this is often aligned with the design requirements of each particular application.…”

Section: Disciplinary Modelsmentioning

confidence: 99%

“…Similarly, in the initial design phases, the weight and balance are estimated by using empirical equations [24,37] as well as statistical data [38,39], while for additional fidelity, it is also possible to augment the calculations by using the results of simplified [40][41][42] or full [33,43] structural analyses. In this respect, the assessment of the structures is typically relevant only in detailed design applications where increased fidelity is required [32,44], and for that reason, the models are built by using advanced computational structural mechanics (CSM) simulations and by considering an extensive list of structural elements and parameters [35,[45][46][47]. To this date, the structural analyses are solely focused on the wing [27,36], and their main advantage within a MDO framework is that they can be used either to directly calculate the strength [27,44] or to provide additional data for further static as well as dynamic aeroelastic computations [48,49].…”

Section: Disciplinary Modelsmentioning

confidence: 99%

“…To this date, the structural analyses are solely focused on the wing [27,36], and their main advantage within a MDO framework is that they can be used either to directly calculate the strength [27,44] or to provide additional data for further static as well as dynamic aeroelastic computations [48,49]. Finally, the propulsion specifications can be expressed in high-fidelity applications through a dedicated simulation model that considers the entire [12,17,26,[50][51][52][53] or an isolated part [38,54,55] of the engine's operation, but for faster optimizations, it is also efficient to use statistical approximations [43,45] or "rubberized" engines by means of scaling factors [16,32,56].…”

Section: Disciplinary Modelsmentioning

confidence: 99%

See 2 more Smart Citations

Multidisciplinary Design Optimization of Aerial Vehicles: A Review of Recent Advancements

Παπαγεωργίου

Tarkian

Amadori

et al. 2018

International Journal of Aerospace Engineering

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The aim of this paper is to present the most common practices in multidisciplinary design optimization (MDO) of aerial vehicles over the past decade. The literature sample is identified through established internet search engines, and a stringent review methodology is implemented in order to ensure the selection of the most relevant sources. In this work, the primary emphasis is on the assessment of the state-of-the-art framework development strategies, while at a secondary level, the objective is to identify the possible improvement directions by evaluating the research trends and gaps. As an additional contribution, statistical studies are also provided, and it is shown how MDO of aerial vehicles has evolved in terms of problem formulation, disciplinary modeling, analysis capabilities, tool implementation, and general applicability. Given this foundation as well as the results of the review, this work concludes by presenting a roadmap for guiding academia and industry in respect to the application of MDO on aerial vehicles. Overall, the roadmap together with the literature review is not only expected to serve as a guide for newcomers into the MDO field but also as an elementary basis which will allow researchers to conduct additional studies in this important and constantly evolving area of design.

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Section: Disciplinary Modelsmentioning

confidence: 99%

Section: Disciplinary Modelsmentioning

confidence: 99%

Section: Disciplinary Modelsmentioning

confidence: 99%

See 1 more Smart Citation

Multidisciplinary Design Optimization of Aerial Vehicles: A Review of Recent Advancements

Παπαγεωργίου

Tarkian

Amadori

et al. 2018

International Journal of Aerospace Engineering

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“…One indicative example of this is the calculation of the aeroelastic equilibrium which to this date has received, and still receives, a lot of attention since it is a crucial aspect in the design of aircraft with flexible wings (Cavagna et al, 2011). Accordingly, in the design of aerial vehicles supplementary fidelity can be brought into the conceptual design by implementing a local high-fidelity optimization of the structural layout (Gazaix et al, 2011), while additional knowledge regarding the robustness and the unwanted system effects can be achieved through the consideration of uncertainty inputs (Yao et al, 2011). Lastly, in the fast-paced development market of UAVs it is important to be able to have a holistic view of the future product usage early on, and in this light, two essential, but yet overlooked, analysis capabilities are to be able to predict the customer and market inputs as well as the network and system interactions.…”

Section: Analysis Capabilitiesmentioning

confidence: 99%

Optimization of Unmanned Aerial Vehicles: Expanding the Multidisciplinary Capabilities

Παπαγεωργίου¹

2018

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Over the last decade, Unmanned Aerial Vehicles (UAVs) have experienced an accelerated growth, and nowadays they are being deployed in a variety of missions that have traditionally been covered by manned aircraft. This unprecedented market expansion has created new and unforeseen challenges for the manufacturing industry which is now called to further reduce the idea-to-market times while simultaneously delivering designs of even higher performance. In this environment of uncertainty and risk, it is without a doubt crucial for the involved actors to find ways to secure their strategic advantage, and hence, implementing the latest design tools has become a critical consideration in every Product Development Process (PDP).To this end, a method that has been frequently applied in the PDP and has shown many successful results in the development of complex engineering products is Multidisciplinary Design Optimization (MDO). In general, MDO can bring additional knowledge regarding the best-suited designs much earlier in the process, and in this respect, it can lead to significant cost and time savings by reducing the total number of refinement iterations. Nevertheless, the organizational and cultural integration of MDO has been often overlooked, while at the same time, several technical aspects of the method for UAV design are still at an elementary level. On the whole, research on MDO is showing a slow progress, and to this date, there are many limitations in both the disciplinary models and the available analysis capabilities.In light of the above, this thesis focuses on the particulars of the MDO methodology, and more specifically, on how it can be best adapted and evolved in order to enhance the development process of UAVs. The primary objective is to study the current trends and gaps of the MDO practices in UAV applications, and subsequently to build upon that and explore how these can be included in a roadmap that will be able to serve a guide for newcomers in the field. Compared to other studies, the problem is herein approached from both a technical as well as organizational perspective, and thus, this research not only aims to propose techniques that can lead to better designs but also solutions that will be meaningful to the PDP. Having established the above foundation, this work shows that the traditional MDO frameworks for UAV design have been neglecting several important features, and it elaborates on how those novel elements can be modeled in order to enable a better integration of MDO into the organizational functions. Overall, this thesis presents quantitative and qualitative data which illustrate the effectiveness of the new framework enhancements in the development process of UAVs, and concludes with discussions on the possible improvement directions towards achieving more and better MDO capabilities. vi vii

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“…Practical coupling of the expert technologies and methodologies of the research and engineering domains is a nontrivial challenging task in the wing sizing optimization process. Some authors [3][4][5][6] have described the application of such a collaborative optimization in the process of aircraft design. In multidisciplinary design and optimization (MDO), the current trend is to replace traditional semiempirical relations by coupled multiphysics simulation codes.…”

Section: Introductionmentioning

confidence: 99%

Structural Wingbox Optimization for the Coupled Fluid Structure Interaction Problem of a Flexible Wing: Finite Element Analysis sol200 versus Surrogate Models

Morlier¹,

Charlotte²,

Habbib³

et al.

Proceedings of the Eighth International Conference on Engineering Computational Technology

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This work presents a two-step approach that was adopted in a collaborative multidisciplinary work named OSYCAF for wing-box design optimization. This approach encompasses: 1) the initialization of a full parametric PCL flexible wing optimization with analytical design, and 2) the comparison of the sol200 optimization (mass of the wing) with a simple surrogate model (also known as Reduced Order Model due to the quadratic form in the regression). Our main objective is to optimize the global structure weight while respecting all structural criteria and constraints, and using the spars and skin thickness as design variables. We show that after the optimization the importance of upper and lower skins is minimized and almost all efforts are concentrated on spars, specially the rear spar. It is also shown that the strain criterion is stronger than the stress one, which considers shear and buckling deformations as the critical design points, although fatigue is also relevant when designing the lower Wing-Box Skin. We show the results obtained for the local optimization of several considered NACA-4 profiles by using an automated process.This work is developed such that an association with an aerodynamic approach using CFD would make possible to create a variation of the required profile to construct the real wing that, when deformed, would assume its best shape in terms of aerodynamics, still respecting all structural constraints and minimum weight possible.

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Investigation of Multi-Disciplinary Optimisation for Aircraft Preliminary Design

Cited by 11 publications

References 24 publications

Multidisciplinary Design Optimization of Aerial Vehicles: A Review of Recent Advancements

Multidisciplinary Design Optimization of Aerial Vehicles: A Review of Recent Advancements

Optimization of Unmanned Aerial Vehicles: Expanding the Multidisciplinary Capabilities

Structural Wingbox Optimization for the Coupled Fluid Structure Interaction Problem of a Flexible Wing: Finite Element Analysis sol200 versus Surrogate Models

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