Deakin University
Browse

File(s) under permanent embargo

Improved design methods for crashworthy composite helicopter structures

conference contribution
posted on 2012-01-01, 00:00 authored by Mathew JoostenMathew Joosten, M David, C Kindervater, R Thomson
The development and validation of new methods to simulate the crash response and energy absorption of composite airframe structures are described in this paper. The simulation methods were developed and demonstrated on representative crush element tests, then larger sub-elements. Final validation, as reported in this paper, was conducted using a structure representative of a helicopter fuselage frame complete with an energy absorbing sub-floor. Scaled instrumented structures were tested quasi-statically and dynamically. The numerical model developed in PAM-CRASH was capable of predicting the deformation modes and provided excellent agreement with the steady state crushing loads and energy absorption. The ability to predict the dynamic response of a composite frame section gives confidence that numerical models can be used to design the next generation of crashworthy helicopter structures using •virtual1 crash tests resulting in lighter, stronger, safer helicopters.

History

Pagination

1-10

Location

Brisbane, Qld.

Start date

2012-09-23

End date

2012-09-28

ISBN-13

978-0-9565333-1-9

Language

eng

Publication classification

E Conference publication, E1.1 Full written paper - refereed

Copyright notice

[2012, The authors]

Editor/Contributor(s)

Grant I

Title of proceedings

ICAS 2012 : Proceedings of the 28th Congress of the International Council of the Aeronautical Sciences

Event

International Council of the Aeronautical Science. Conference (28th : 2012 : Brisbane, Qld.)

Publisher

International Council of the Aeronautical Sciences

Place of publication

Bonn, Germany

Series

International Council of the Aeronautical Science Conference

Usage metrics

    Research Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC