Experimental study of random dynamic loads identification based on weighted regularization method

You Jia, Zhichun Yang, Qiaozhi Song

Research output: Contribution to journalArticlepeer-review

61 Scopus citations

Abstract

In the identification of random dynamic loads acting on the structure, it is necessary to take into account the effect of measuring error of responses and estimation error of frequency response functions (FRFs). For this purpose, a dynamic load identification model was built in which the relative error bound of the identified loads was estimated. To mitigate error propagation and ill-posed problem during the process of identification, a weighted regularization approach based on the proper orthogonal decomposition (POD) was proposed, where the regularization parameter was selected by the GCV method. To verify the feasibility and effectiveness of this method, experiments of loads identification were performed on a plate structure which was randomly excited by three electromagnetic exciters. The results show a good agreement between the identified random dynamic loads and the actually exerted loads.

Original languageEnglish
Pages (from-to)113-123
Number of pages11
JournalJournal of Sound and Vibration
Volume342
DOIs
StatePublished - 28 Apr 2015

Fingerprint

Dive into the research topics of 'Experimental study of random dynamic loads identification based on weighted regularization method'. Together they form a unique fingerprint.

Cite this