Architecting a decision environment for complex design evaluation
Architecting a decision environment for complex design evaluation
In order to find consensus in complex aerospace projects, design involves a complex, iterative process among the different specialist committees (weights, aerodynamics, cost, etc.). This is made more difficult by the growing need to take into account the life cycle implications of low level design decisions in addition to their shorter term implications on performance. This paper discusses the design and architecture of a software system that accommodates these changes and helps alleviate some of the problems that arise. By integrating domain specific analysis codes with a consistent data model, parametric CAD, and distributed execution, the system will allow for rapid configuration exploration and the use of high fidelity analysis early in the design cycle. Furthermore, the inclusion of an operational simulation model enables the designer to receive immediate feedback on the life cycle performance and cost based on low level design decisions.
1-7
Gorissen, Dirk
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Quaranta, Erika
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Ferraro, Mario
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Scanlan, James
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Keane, Andrew
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Takeda, Kenji
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April 2012
Gorissen, Dirk
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Quaranta, Erika
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Ferraro, Mario
bb685634-3a36-49dd-bd2e-ade3f475796c
Scanlan, James
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Keane, Andrew
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Takeda, Kenji
e97e7bc8-3bd7-49f9-b96c-8c7f0a0b6ecc
Gorissen, Dirk, Quaranta, Erika, Ferraro, Mario, Scanlan, James, Keane, Andrew and Takeda, Kenji
(2012)
Architecting a decision environment for complex design evaluation.
53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Honolulu, United States.
23 - 26 Apr 2012.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
In order to find consensus in complex aerospace projects, design involves a complex, iterative process among the different specialist committees (weights, aerodynamics, cost, etc.). This is made more difficult by the growing need to take into account the life cycle implications of low level design decisions in addition to their shorter term implications on performance. This paper discusses the design and architecture of a software system that accommodates these changes and helps alleviate some of the problems that arise. By integrating domain specific analysis codes with a consistent data model, parametric CAD, and distributed execution, the system will allow for rapid configuration exploration and the use of high fidelity analysis early in the design cycle. Furthermore, the inclusion of an operational simulation model enables the designer to receive immediate feedback on the life cycle performance and cost based on low level design decisions.
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Architecting a Decision Environment for Complex Design Evaluation
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Published date: April 2012
Venue - Dates:
53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Honolulu, United States, 2012-04-23 - 2012-04-26
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Local EPrints ID: 412087
URI: http://eprints.soton.ac.uk/id/eprint/412087
PURE UUID: aea8741b-acc0-42a3-b569-ed1f09759af0
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Date deposited: 06 Jul 2017 16:30
Last modified: 16 Mar 2024 04:03
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Contributors
Author:
Dirk Gorissen
Author:
Erika Quaranta
Author:
Kenji Takeda
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