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Blended-wing-body optimization problem setup

Authors: Sean Wakayama;

Blended-wing-body optimization problem setup

Abstract

This paper shows how the Wing Multidisciplinary Optimization Design (WingMOD) code is used to reconfigure and balance a Blended-Wing-Body (BWB) aircraft. Details are given on how a BWB optimization problem is set up in WingMOD, including how a series of optimizations is used to calibrate WingMOD to external analyses. Relative to work reported earlier, the current BWB optimization looks more carefully at cabin geometry, balance, stability and control issues. This results in a problem that considers 5 missions, 26 design conditions, and 142 design variables and 930 constraints. Current results show how optimization can reconfigure a BWB to correct balance problems while improving takeoff weight.

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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!
48
Top 10%
Top 1%
Top 10%
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