The AGILE Paradigm: the next generation of collaborative MDO

Ciampa, Pier Davide; Nagel, Björn

doi:10.2514/6.2017-4137

Cited by 40 publications

(26 citation statements)

References 17 publications

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“…Within the MDO community, many challenges have been identified [6,25,45]to ease the optimization of complex workflows in the context of multilevel and multipartner collaborative engineering projects that characterize aircraft design. However, it can be concluded that the technical solutions developed in AGILE, by smart combination of knowledge-based technologies, IT solutions and MDO strategies, provide a fruitful approach for handling those challenges and therefore contribute to a shorter aircraft development time.…”

Section: Discussionmentioning

confidence: 99%

“…In AGILE, a new paradigm and software framework are under development [5,6] that will enable the efficient collaboration among international multi-site aircraft design teams. The AGILE project is structured into three sequential phases, targeting design campaigns with increasing levels of complexity, addressing different aircraft configurations and MDO techniques.…”

Section: Agile Project Overviewmentioning

confidence: 99%

See 1 more Smart Citation

A clustered and surrogate-based MDA use case for MDO scenarios in AGILE project

Lefebre¹,

Bartoli²,

Dubreuil³

et al. 2018

2018 Multidisciplinary Analysis and Optimization Conference

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Section: Discussionmentioning

confidence: 99%

Section: Agile Project Overviewmentioning

confidence: 99%

A clustered and surrogate-based MDA use case for MDO scenarios in AGILE project

Lefebre¹,

Bartoli²,

Dubreuil³

et al. 2018

2018 Multidisciplinary Analysis and Optimization Conference

Self Cite

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“…The collaborative process architecture which is inspired by the AGILE project [16,17] is divided into three domains (Fig. 2).…”

Section: Predesign Process and Collaborative Architecturementioning

confidence: 99%

Collaborative Aircraft Engine Preliminary Design using a Virtual Engine Platform, Part A: Architecture and Methodology

Reitenbach

Vieweg

Becker

et al. 2020

AIAA Scitech 2020 Forum

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“…So far, the large amount of time required to set up these workflows has often had a negative impact on their utility, leaving too little time to run large-scale analyses in time-constrained projects. Therefore, the AGILE Horizon 2020 European project [1] aims to employ new methods, to significantly lower the time required to set up and reconfigure multidisciplinary design workflows [2]. Taking advantage of the expertise of many partners beyond Europe, the goal is to perform multidisciplinary design optimization (MDO) on six different configurations.…”

Section: Introductionmentioning

confidence: 99%

Integration aspects of the collaborative aero-structural design of an unmanned aerial vehicle

Walther¹,

Gastaldi

Maierl

et al. 2019

CEAS Aeronaut J

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Overall aircraft design is a complex multidisciplinary process, which requires knowledge from many different fields such as structures, aerodynamics, systems and propulsion. For unconventional configurations lacking an empirical knowledge base, higher fidelity physics-based methods are required to reliably estimate the feasibility of a given new design concept. Analysis tools and results are provided by highly specialized groups of experts, possibly from different organizations. In the AGILE (aircraft 3rd generation MDO for innovative collaboration of heterogeneous teams of experts) project, new approaches to setting up cross-organizational collaborative aircraft design optimization workflows have been investigated, including the employment of common parametric aircraft configuration schema as a central common data schema and the provision of disciplinary analysis competences as callable services. Following this paradigm, the present paper details a distributed workflow to perform an aero-structural design optimization of an unmanned aerial vehicle (UAV) design. Taking advantage of disciplinary capabilities provided by several partners based in various locations across Europe, an integrated design workflow including a distributed and tightly coupled aero-structural analysis loop has been assembled using the process integration and design optimization system remote component environment developed at the German Aerospace Center. To enable the necessary load and displacement transfer between non-matching disciplinary meshes, a versatile and lightweight algorithm using radial basis functions has furthermore been implemented. The functionality of the workflow is demonstrated by performing the optimization on the baseline configuration of the UAV.Keywords Multidisciplinary optimization · Fluid-structure interaction · Structural optimization · Preliminary aircraft design · Collaborative design · CPACS · AGILE project AbbreviationsAGILE Aircraft third-generation MDO for innovative collaboration of heterogeneous teams of experts APP Aircraft Performance Program CFD Computational fluid dynamics CPACS Common parametric aircraft configuration schema CSV Comma-separated values DLR German Aerospace Center DOE Design of experiments FEM Finite element method MDA Multidisciplinary analysis MDO Multidisciplinary design optimization MLS Moving least squares RANS Reynolds-averaged Navier-Stokes RBF Radial basis functions RCE Remote component environment UAV Unmanned aerial vehicle XDSM Extended design structure matrix

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The AGILE Paradigm: the next generation of collaborative MDO

Cited by 40 publications

References 17 publications

A clustered and surrogate-based MDA use case for MDO scenarios in AGILE project

A clustered and surrogate-based MDA use case for MDO scenarios in AGILE project

Collaborative Aircraft Engine Preliminary Design using a Virtual Engine Platform, Part A: Architecture and Methodology

Integration aspects of the collaborative aero-structural design of an unmanned aerial vehicle

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