Analysis of liquid spring damper for vertical landing reusable launch vehicle with network-based methodology

Shuai Yue, Branislav Titurus*, Zhiqian Li, Chunbo Wu, Zhonghua Du

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

1 Citation (Scopus)
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Abstract

This paper presents the network-based modeling, validation and analysis of the nonlinear liquid spring damper model under vertical landing conditions of reusable launch vehicle. The impedance function of damper model is derived first. Then, its mechanical and hydraulic networks are newly established based on the hydro-mechanical analogy and network-based analysis. By comparing the networks between the corresponding symmetric and asymmetric structures, the meaning of each branch in the network is elucidated. After that, the validity of the network-based model for the liquid spring damper is confirmed by comparison against the experimentally verified nonlinear model in both frequency and time domain. The force and energy absorption characteristics of the damper model are further decomposed, and, specifically, the influence of the orifice area and orifice length on the attenuation performance is studied. The results show that the network-based model provides predictions consistent with those generated by the nonlinear model. The main discrepancy is attributed to the inaccuracy caused by the equivalent fluid bulk modulus. The network-based analysis indicates that the orifice area mainly influences the damping force in the network, which further affects the loads and efficiency of the damper. The orifice length mainly influences the inertia force in the network, which should be limited to a small value. The proposed novel interpretation of the damper models and responses under impact conditions constitutes a framework suitable for systematic design of typically highly nonlinear landing systems in reusable launch vehicles.
Original languageEnglish
JournalNonlinear Dynamics
DOIs
Publication statusPublished - 8 Oct 2022

Bibliographical note

Funding Information:
This study was funded by National Natural Science Foundation of China [No. 52102436]; the Fundamental Research Funds for the Central Universities [No. 30920021109]; Natural Science Foundation of Jiangsu Province [No. BK20200496]; China Postdoctoral Science Foundation [No. 2020M681615]; and the project of Key Laboratory of Impact and Safety Engineering [Ningbo University], Ministry of Education [No. CJ202107].

Publisher Copyright:
© 2022, The Author(s).

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