Response prediction for mechanical systems subject to combinational structural modifications

•A variant transmissibility matrix is defined.•A response prediction method is proposed for multiple structural modifications.•The variant transmissibility matrix of the modified system is the key.•Dynamic coupling between modifications to the system is studied and quantified.•The proposed method is...

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Bibliographic Details
Published inJournal of sound and vibration Vol. 534; p. 117019
Main Authors Wang, Zengwei, Lei, Songtao, Cheng, Long, Yang, Yi, Ding, Lei
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 15.09.2022
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Summary:•A variant transmissibility matrix is defined.•A response prediction method is proposed for multiple structural modifications.•The variant transmissibility matrix of the modified system is the key.•Dynamic coupling between modifications to the system is studied and quantified.•The proposed method is validated by numerical and experimental cases.•The achievements can be used to determine the optimal design modification quickly. In this paper, a method is proposed for predicting the dynamic response of mechanical systems subject to combinational structural modifications. It can be found that dynamic responses of mechanical systems subject to combinational structural modifications can be calculated from the variant transmissibility matrices of the one-modification system and the dynamic response of the base system, even though operational forces are unknown. The variant transmissibility is defined to relate the response of the modified system and that of the base system. The dynamic coupling between structural modifications to the system is also investigated. The achievements can be used for both finite element models and real-life systems to reduce cost of determining the optimal combination of design modifications. The benefits of the proposed method are illustrated and validated using the numerical example, finite element simulations and experimental case studies.
ISSN:0022-460X
1095-8568
DOI:10.1016/j.jsv.2022.117019