4.6 Article

Dynamic parametric modeling-based model updating strategy of aeroengine casings

期刊

CHINESE JOURNAL OF AERONAUTICS
卷 34, 期 12, 页码 145-157

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.cja.2020.10.036

关键词

Aeroengine casings; Correlated mode pair; Model updating; Parametric modeling; Structural dynamics; Uncorrelated modes

资金

  1. National Natural Science Foundation of China [51975124, 51675179]
  2. Shang-hai International Cooperation Project of One Belt and One Road of China [20110741700]
  3. Research Startup Fund of Fudan University [FDU38341]

向作者/读者索取更多资源

The study proposes an efficient dynamic model updating strategy (PM-MUS) for aeroengine casings using parametric modeling and experimental test data, which accurately handles uncorrelated modes and improves the accuracy of dynamic modeling updating for complex structures.
For accurate Finite Element (FE) modeling for the structural dynamics of aeroengine casings, Parametric Modeling-based Model Updating Strategy (PM-MUS) is proposed based on efficient FE parametric modeling and model updating techniques regarding uncorrelated/correlated mode shapes. Casings structure is parametrically modeled by simplifying initial structural FE model and equivalently simulating mechanical characteristics. Uncorrelated modes between FE model and experiment are reasonably handled by adopting an objective function to recognize correct correlated modes pairs. The parametrized FE model is updated to effectively describe structural dynamic characteristics in respect of testing data. The model updating technology is firstly validated by the detailed FE model updating of one fixed-fixed beam structure in light of correlated/uncorrelated mode shapes and measured mode data. The PM-MUS is applied to the FE parametrized model updating of an aeroengine stator system (casings) which is constructed by the proposed parametric modeling approach. As revealed in this study, (A) the updated models by the proposed updating strategy and dynamic test data is accurate, and (B) the uncorrelated modes like close modes can be effectively handled and precisely identify the FE model mode associated the corresponding experimental mode, and (C) parametric modeling can enhance the dynamic modeling updating of complex structure in the accuracy of mode matching. The efforts of this study provide an efficient dynamic model updating strategy (PM-MUS) for aeroengine casings by parametric modeling and experimental test data regarding uncorrelated modes. (c) 2021 Chinese Society of Aeronautics and Astronautics. Production and hosting by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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