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Composite Structures
Article
License: CC BY NC ND
Data sources: UnpayWall
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Composite Structures
Article . 2014 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Predicting the broadband response of a layered cone-cylinder-cone shell

Authors: Chronopoulos, Dimitrios; Ichchou, Mohamed; Troclet, Bernard; Bareille, Olivier;

Predicting the broadband response of a layered cone-cylinder-cone shell

Abstract

The dynamic response of an aerospace layered structure composed of a combination of conical and cylindrical shells is hereby modelled. In the low and the mid-frequency ranges a WFEM derived ESL approach implemented within a FEM is used in order to predict the response of the shell. Furthermore, in the high frequency range the CLF of the connected subsystems are calculated using a WFEM/FEM approach. These CLF are implemented within a SEA approach in order to predict the structural response. The accuracy and robustness of the developed approaches are exhibited by comparisons to experimental measurements on a layered conical-shell-conical configuration.

Keywords

Composite shells, Finite Elements, Statistical Energy Analysis, Experimental validation

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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!
25
Top 10%
Top 10%
Top 10%
Green
hybrid