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Modelling pre-fatigue, low-velocity impact and post-impact fatigue behaviours of composite helicopter tail structures under multipoint coordinated loading spectrum

This paper aims to numerically study progressive pre-fatigue, low-velocity impact (LVI) and post-impact fatigue (PIF) damage behaviours of a full-scale composite helicopter tail structure under multipoint coordinated loading spectrum. A mixed progressive damage algorithm incorporating residual stren...

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Bibliographic Details
Published in:Thin-walled structures 2022-07, Vol.176, p.109349, Article 109349
Main Authors: Cheng, Zheng-Qiang, Tan, Wei, Xiong, Jun-Jiang
Format: Article
Language:English
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Summary:This paper aims to numerically study progressive pre-fatigue, low-velocity impact (LVI) and post-impact fatigue (PIF) damage behaviours of a full-scale composite helicopter tail structure under multipoint coordinated loading spectrum. A mixed progressive damage algorithm incorporating residual strength and stiffness degradation rules and failure criteria is developed for progressive fatigue and LVI damage analysis of plain-weave (PW) and unidirectional (UD) composites. Novel global–local​ FE modelling technique is proposed for parallel computation and real-time data transferring of global–local FE models in progressive pre-fatigue, LVI and PIF damage modelling of helicopter composite tail structure. The numerical predictions from this work agree well with experimental data from previous literature, indicating that the mixed algorithm and global–local FE modelling technique can effectively analyse the impact damage tolerance of large full-scale composite aircraft structures. •A mixed progressive damage algorithm is developed for progressive fatigue and LVI damage analysis of PW and UD composites.•Novel global–local FE modelling technique is proposed for parallel computation and real-time data transferring of global–local FE models.•The numerical predictions agree well with experimental data, indicating the effective use of mixed algorithm and global–local FE modelling technique.
ISSN:0263-8231
1879-3223
DOI:10.1016/j.tws.2022.109349