Identification of nonlinear systems through statistical analysis of the dynamic response

被引：0

作者：

Breccolotti, Marco ^{[1
]}

Pozzuoli, Chiara ^{[2
]}

机构：

[1] Univ Perugia, Dept Civil & Environm Engn, Via G Duranti 93, Perugia, Italy

[2] RWDI, Via Thaon di Revel 21, I-20159 Milan, Italy

来源：

STRUCTURAL MONITORING AND MAINTENANCE | 2020年 / 7卷 / 03期

关键词：

nonlinear systems; Gaussian excitation; Fokker-Planck equation; identification; UNSCENTED KALMAN FILTER; CRACK DETECTION; BEAM; BEHAVIOR;

D O I：

10.12989/smm.2020.7.3.195

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

In this paper an extension to the method for the identification of mechanical parameters of nonlinear systems proposed in Breccolotti and Materazzi (2007) for MDoF systems is presented. It can be used for damage identification purposes when damage modifies the linear characteristics of the investigated structure. It is based on the following two main features: the solution of the Fokker-Planck equation that describes the response probabilistic properties of the system when it is excited by external Gaussian loads; and a model updating technique that minimizes the differences between the response of the actual system and that of a parametric system used to identify the unknown parameters. Numerical analysis, that simulate virtual experimental tests, are used in the paper to show the capabilities of the method and to analyse the conditions required for its application.

引用

页码：195 / 213

页数：19

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