Challenges in realizing 3rd generation multidisciplinary design optimization

With the increasing complexity of airplane design, multidisciplinary design optimization (MDO) plays a more critical role in this task, which requires expertise in each domain. Hence, the MDO problem is no longer a set of various models but a distribution of competence. In this work, we study the 3r...

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Bibliographic Details
Published in:Advances in Computational Science and Engineering Vol. 5; pp. 1 - 21
Main Authors: Antonau, Ihar, Warnakulasuriya, Suneth, Baars, Susanna, Baimuratov, Ildar, Wittenborg, Tim, Kreuzeberg, Lasse, Attravanam, Achyuth, Wüchner, Roland
Format: Journal Article
Language:English
Published: 01.09.2025
Subjects:
multidisciplinary
knowledge graphs
multi-fidelity
Next generation MDO
multi-code environment
ISSN:2837-1739, 2837-1739
Online Access:Get full text
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Summary:With the increasing complexity of airplane design, multidisciplinary design optimization (MDO) plays a more critical role in this task, which requires expertise in each domain. Hence, the MDO problem is no longer a set of various models but a distribution of competence. In this work, we study the 3rd Generation MDO architecture, which has been proposed as AGILE Paradigm, where different institutes or departments are involved in solving self-contained parts of the MDO system with their unique toolset. This means that the MDO framework should support multi-discipline and multi-fidelity models and a multi-code environment. It brings three main challenges: extensive MDO problem formulation, coupling design tools, and developing models. In this work, our primary focus is on the first two challenges. We formulate the framework's requirements and technical aspects that support AGILE Paradigm. Additionally, the potential benefit of using knowledge graphs in problem formulations is discussed. Our work is supported by relevant examples. Our implementations are based on open-source software KratosMultiphysics.
ISSN:2837-1739
2837-1739
DOI:10.3934/acse.2025001