C
Christina Bloebaum
Researcher at Iowa State University
Publications - 117
Citations - 2059
Christina Bloebaum is an academic researcher from Iowa State University. The author has contributed to research in topics: Multidisciplinary design optimization & Engineering design process. The author has an hindex of 24, co-authored 116 publications receiving 1974 citations. Previous affiliations of Christina Bloebaum include University of Florida & University at Buffalo.
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Journal ArticleDOI
Non-hierarchic system decomposition in structural optimization
TL;DR: A general decomposition approach for multidisciplinary optimization that is applicable for non-hierarchic systems in which a distinct system hierarchy is difficult to identify is developed.
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Development of visual design steering as an aid in large-scale multidisciplinary design optimization. Part I: method development
TL;DR: It is demonstrated that Graph Morphing can effectively reduce the complexity and computational time associated with some optimization problems.
Proceedings ArticleDOI
Ordering design tasks based on coupling strengths
TL;DR: A new feature for DeMAID will allow the design manager to use coupling strength information to find a proper sequence for ordering the design tasks, aid in deciding if certain tasks or couplings could be removed from consideration to achieve computational savings without a significant loss of system accuracy.
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Application of global sensitivity equations in multidisciplinary aircraft synthesis
TL;DR: In this paper, the applicability of the Global Sensitivity Equation (GSE) method in the multidisciplinary synthesis of aeronautical vehicles was investigated and the influence of efficient constraint representations, the choice of design variables, and design variable scaling on the conditioning of the system matrix was also investigated.
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Sensitivity of control-augmented structure obtained by a system decomposition method
TL;DR: In this paper, the verification of a method for computing sensitivity derivatives of a coupled system is presented, which deals with a system whose analysis can be partitioned into subsets that correspond to disciplines and/or physical subsystems that exchange input-output data with each other.