A modular matrix-free approach to multidisciplinary design optimization
Authors
Dener, Alp
ORCID
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Other Contributors
Hicken, Jason
Oberai, Assad
Sahni, Onkar
Mitchell, John E.
Oberai, Assad
Sahni, Onkar
Mitchell, John E.
Issue Date
2017-12
Keywords
Aeronautical engineering
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
The individual discipline feasible (IDF) formulation is a multidisciplinary design optimization (MDO) architecture that provides modularity for the underlying discipline solvers. Similar to reduced-space methods, the IDF formulation does not require the optimization algorithm to converge the state variables for each discipline in addition to the optimization variables; the state equations are still solved fully at each optimization iteration. However, IDF decouples the discipline equations from each other through the introduction of coupling variables and constraints to the optimization problem. Consequently, the discipline solutions at each optimization iteration can be performed independently and in parallel. This promotes the use of existing discipline-specific PDE solvers, and lowers the software development challenge of creating efficient coupled discipline analyses.
Description
December 2017
School of Engineering
School of Engineering
Department
Dept. of Mechanical, Aerospace, and Nuclear Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
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