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Cantilever structure model updating of end effector based on frequency response data under thermal effects
Author(s) -
Wang Jutao,
Liu Zhenzhong,
Zhao Lianyu
Publication year - 2019
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.2951
Subject(s) - metamodeling , kriging , surrogate model , cantilever , frequency response , computer science , experimental data , field (mathematics) , engineering , machine learning , mathematics , structural engineering , statistics , electrical engineering , pure mathematics , programming language
Summary The effect of thermal on the structural dynamic response is gaining attention, and should be taken into account during model updating. Meanwhile, metamodel technique is applied to be a surrogate model for its low computational cost. In this work, the structural model updating under thermal field is investigated, an attempt has been made to combine Kriging metamodel and frequency response function based model updating. The Kriging model, taken as a surrogate, is constructed based on the input variables selected by F‐test method, which is applied on the results of design of experiment. The errors of response signal between analytical model and experimental model are used to create response of design of experiment. The performed example demonstrates the effectiveness of the proposed approach.