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Practical Implementation of Robust Design Optimization

Authors: Ravindra Tappeta; Gopivallabha Rao; Peter Milanowski;

Practical Implementation of Robust Design Optimization

Abstract

This paper focuses on practical implementation of multi-objective Robust Design Optimization (RDO). The main goal is to implement RDO such that it is intuitive; lexicon based and does not require extensive a priori knowledge of the available RDO formulations. It supports both single & multi-objective deterministic design optimization and single & multi-objective robust design optimization problem specification using single unified user interface. The implementation is based on wizards that guide the user through the optimization problem specification. The problem specification includes: input variable specification, objective and constraint specification, reliability and optimization method specification. Once the user specifies the design problem, the implementation automatically selects the suitable robust design formulation. The implementation provides options for the user to specify robustness bounds on inputs and select normalization of responses based on global sampling for weighted objective formulations. The intuitive nature of design problem specification is illustrated with an example of integrated knee bolster robust design optimization.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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