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Aircraft Landing Impact Parametric Study with Emphasis on Nose Gear Landing Conditions

Authors: David H. Chester;

Aircraft Landing Impact Parametric Study with Emphasis on Nose Gear Landing Conditions

Abstract

A parametric approach to simulation of landing impact, with pitching and heaving degrees of freedom of the aircraft motion, has been used to determine the response of the main and nose gears. Compared to each gear's independent behavior, there are important differences in the landing conditions and in the resulting vertical loads and displacements when these aircraft motions are included. For main gears, the maximum vertical loads are almost linearly dependent on the sinking speed, but there is some variation in the proportion of kinetic energy absorbed. For nose gears, no similar validity exists, compared with the single gear results. Correlation with aircraft sinking speed is absent, but the response is sensitive to the values of initial pitch angle and pitch inertia. This is associated with the equivalent mass and its motion at this location, which are greatly affected by these input quantities and by the aircraft scale.

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Powered by OpenAIRE graph
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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!
23
Top 10%
Top 10%
Average
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