Challenges and Considerations When Using Hydraulic Modal Shaking in Large-Scale Modal Testing

被引:0
|
作者
Akers, James C. [1 ]
Hale, Michael T. [2 ]
Sills, Joel W., Jr. [3 ]
机构
[1] NASA, Glenn Res Ctr, Cleveland, OH 44135 USA
[2] Trideum Corp RTC, Redstone Arsenal, AL USA
[3] NASA, Johnson Space Ctr, Houston, TX USA
关键词
Electrodynamic modal shakers; Hydraulic modal shakers; Hydraulic power supplies; Large-scale modal test; Nonlinear distortion;
D O I
10.1007/978-3-031-05415-0_13
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
As test articles become dimensionally larger, more complex, and massive in weight, combined with the need to excite them to higher than traditional levels in order to identify their nonlinear characteristics, modal shakers that can generate significantly higher force levels, have longer stroke lengths, and possess higher velocity limits are required. While large-scale modal tests may be performed with electrodynamic modal shakers, hydraulic modal shakers become attractive since they can generate higher force levels at lower unit cost with a smaller spatial footprint. While test engineers familiar with electrodynamic modal shakers are familiar with the challenges of displacement and velocity limits and the relatively mild shaker nonlinear distortion due to amplifier gains and shaker flexure structural geometric nonlinearities, they probably are not as familiar with the unique set of challenges hydraulic modal shakers present. These unique challenges include significant nonlinear distortion in the shaker force, issues with the setup of the hydraulic power supply and the associated hydraulic hosing, velocity limits as they relate to potentially damaging the hydraulic actuator piston, and safety issues with operating high-pressure hydraulic systems. This chapter addresses these unique challenges to help the test engineer to better utilize hydraulic modal shakers on large-scale modal tests.
引用
收藏
页码:145 / 160
页数:16
相关论文
共 50 条
  • [31] Modal testing of large structures using projected grid Moire
    Acadia Univ, Wolfville, Canada
    Proceedings of the International Modal Analysis Conference - IMAC, 2000, 2 : 1063 - 1069
  • [32] CLIP-based fusion-modal reconstructing hashing for large-scale unsupervised cross-modal retrieval
    Li Mingyong
    Li Yewen
    Ge Mingyuan
    Ma Longfei
    International Journal of Multimedia Information Retrieval, 2023, 12
  • [33] CLIP-based fusion-modal reconstructing hashing for large-scale unsupervised cross-modal retrieval
    Mingyong, Li
    Yewen, Li
    Mingyuan, Ge
    Longfei, Ma
    INTERNATIONAL JOURNAL OF MULTIMEDIA INFORMATION RETRIEVAL, 2023, 12 (01)
  • [34] Large-scale hydraulic testing of low-permeability clays
    Grozescu, S
    Dobkowski, D
    Baradaran, R
    TAILINGS AND MINE WASTE '96, 1996, : 243 - 251
  • [35] Modal space decoupling control for a hyper-redundant hydraulic shaking table
    School of Mechatronics Engineering, Harbin Institute of Technology, Harbin
    150001, China
    Harbin Gongye Daxue Xuebao, 1 (48-53):
  • [36] A Multilevel Hierarchical Parallel Algorithm for Large-Scale Finite Element Modal Analysis
    Yu, Gaoyuan
    Lou, Yunfeng
    Dong, Hang
    Li, Junjie
    Jin, Xianlong
    CMC-COMPUTERS MATERIALS & CONTINUA, 2023, 76 (03): : 2795 - 2816
  • [37] Effective Classification for Multi-modal Behavioral Authentication on Large-Scale Data
    Yamaguchi, Shuji
    Gomi, Hidehito
    Kobayashi, Ryosuke
    Tran Phuong Thao
    Irvan, Mhd
    Yamaguchi, Rie Shigetomi
    2020 15TH ASIA JOINT CONFERENCE ON INFORMATION SECURITY (ASIAJCIS 2020), 2020, : 101 - 109
  • [38] Multiple Information Embedded Hashing for Large-Scale Cross-Modal Retrieval
    Wang, Yongxin
    Zhan, Yu-Wei
    Chen, Zhen-Duo
    Luo, Xin
    Xu, Xin-Shun
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 34 (06) : 5118 - 5131
  • [39] Online Adaptive Supervised Hashing for Large-Scale Cross-Modal Retrieval
    Su, Ruoqi
    Wang, Di
    Huang, Zhen
    Liu, Yuan
    An, Yaqiang
    IEEE ACCESS, 2020, 8 : 206360 - 206370
  • [40] Multimodal Discriminative Binary Embedding for Large-Scale Cross-Modal Retrieval
    Wang, Di
    Gao, Xinbo
    Wang, Xiumei
    He, Lihuo
    Yuan, Bo
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 25 (10) : 4540 - 4554