Proper orthogonal decomposition, dynamic mode decomposition, wavelet and cross wavelet analysis of a sloshing flow

被引:17
|
作者
Pagliaroli, Tiziano [1 ]
Gambioli, Francesco [2 ]
Saltari, Francesco [3 ]
Cooper, Jonathan [4 ]
机构
[1] Univ Niccolo Cusano, Dept Engn, Via Don Carlo Gnocchi 3, I-00166 Rome, Italy
[2] Airbus Operat Ltd, Loads & Aeroelast Dept, Bristol BS34 7PA, Glos, England
[3] Univ Roma La Sapienza, Dept Mech & Aerosp Engn, Via Eudossiana 18, I-00184 Rome, Italy
[4] Univ Bristol, Dept Aerosp Engn, Univ Walk, Bristol BS8 1TR, Glos, England
关键词
Wavelet; Sloshing; POD; DMD; FINITE; FIELD;
D O I
10.1016/j.jfluidstructs.2022.103603
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Internal hydrodynamics and its coupling with structural dynamics are non-negligible processes in the design phase of aerospace systems. An improved understanding of the nature of this coupling would allow for greater flexibility in modeling and design of such systems, and could lead eventually to the development of suitable active and/or passive control strategies for enhanced performances. In this manuscript we apply a number of data analysis techniques: proper orthogonal decomposition, dynamic mode decomposition and wavelet transform and their combination to time-resolved images of a liquid sloshing within an enclosure. We use these techniques to identify fluid-dynamic modes in space and time and to verify their coupling with the structural dynamics of vibrating structures. In particular we consider the transient case of a water tank mounted on a free oscillating cantilever. As the acceleration amplitude decays, we observe and quantify the transition from incoherent flow to standing waves. Our results show that the content of the images is very informative and can be used for quantitative analysis. As the main outcome, the hydrodynamic modes are identified using POD and DMD, and related to known features of sloshing flow, such as the frequency of the first symmetric free surface mode. Additionally we perform a comparison of wavelet transforms of POD time coefficients and measured acceleration signals at the tank base. Viewing the latter as the input and the former as the output of the fluid-dynamic system, we are able to correlate the enhanced damping of the cantilever oscillation to the different regimes of the hydrodynamic field. (C) 2022 Elsevier Ltd. All rights reserved.
引用
收藏
页数:23
相关论文
共 50 条
  • [1] The comparison of pump flow field via decomposition mode dynamic and proper orthogonal decomposition: An analysis of gappy proper orthogonal decomposition
    Peng, Wenjie
    Pei, Ji
    Wang, Wenjie
    Yuan, Shouqi
    Chen, Jia
    Gan, Xingcheng
    Deng, Qifan
    PHYSICS OF FLUIDS, 2024, 36 (12)
  • [2] COMPARING WAVELET TRANSFORM WITH PROPER ORTHOGONAL DECOMPOSITION
    Zheng, Yan
    Fujimoto, Shun
    Rinoshika, Akira
    PROCEEDINGS OF 2015 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION (ICWAPR), 2015, : 117 - 123
  • [3] Wavelet adaptive proper orthogonal decomposition for large-scale flow data
    Krah, Philipp
    Engels, Thomas
    Schneider, Kai
    Reiss, Julius
    ADVANCES IN COMPUTATIONAL MATHEMATICS, 2022, 48 (02)
  • [4] Wavelet adaptive proper orthogonal decomposition for large-scale flow data
    Philipp Krah
    Thomas Engels
    Kai Schneider
    Julius Reiss
    Advances in Computational Mathematics, 2022, 48
  • [5] Unsteady flow analysis in a pump as turbine impeller based on proper orthogonal decomposition and dynamic mode decomposition methods
    Miao, Senchun
    Liu, Leqi
    Wang, Xiaohui
    Yang, Junhu
    PHYSICS OF FLUIDS, 2024, 36 (11)
  • [6] Spectral proper orthogonal decomposition and its relationship to dynamic mode decomposition and resolvent analysis
    Towne, Aaron
    Schmidt, Oliver T.
    Colonius, Tim
    JOURNAL OF FLUID MECHANICS, 2018, 847 : 821 - 867
  • [7] A Hybrid Two-Dimensional Orthogonal Wavelet Multiresolution and Proper Orthogonal Decomposition Technique for the Analysis of Turbulent Wake Flow
    School of Automotive and Traffic Engineering Jiangsu University of Technology, Jiangsu, Changzhou
    213001, China
    不详
    992-8510, Japan
  • [8] A hybrid two-dimensional orthogonal wavelet multiresolution and proper orthogonal decomposition technique for the analysis of turbulent wake flow
    Zheng, Yan
    Zhang, Dan
    Wang, Tianbo
    Rinoshika, Hiroka
    Rinoshika, Akira
    OCEAN ENGINEERING, 2022, 264
  • [9] Shape Optimization by Means of Proper Orthogonal Decomposition and Dynamic Mode Decomposition
    Demo, Nicola
    Tezzele, Marco
    Gustin, Gianluca
    Lavini, Gianpiero
    Rozza, Gianluigi
    TECHNOLOGY AND SCIENCE FOR THE SHIPS OF THE FUTURE (NAV 2018), 2018, : 212 - 219
  • [10] A modified proper orthogonal decomposition method for flow dynamic analysis
    Zhao, Yijia
    Zhao, Ming
    Li, Xiaojian
    Liu, Zhengxian
    Du, Juan
    COMPUTERS & FLUIDS, 2019, 182 : 28 - 36