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Structural model updating using incomplete transfer function and modal data
Author(s) -
Farshadi Maria,
Esfandiari Akbar,
Vahedi Maryam
Publication year - 2017
Publication title -
structural control and health monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.587
H-Index - 62
eISSN - 1545-2263
pISSN - 1545-2255
DOI - 10.1002/stc.1932
Subject(s) - modal , robustness (evolution) , structural health monitoring , transfer function , sensitivity (control systems) , structural system , vibration , algorithm , frequency response , modal analysis , computer science , modal testing , normal mode , function (biology) , control theory (sociology) , mathematics , engineering , structural engineering , finite element method , artificial intelligence , electronic engineering , biology , evolutionary biology , polymer chemistry , electrical engineering , chemistry , biochemistry , control (management) , quantum mechanics , physics , gene
Summary Structural damage detection by non‐destructive techniques has been investigated widely by researchers in recent years, and several response‐based Structural Health monitoring techniques have been developed. In this paper, a vibration‐based damage detection algorithm through model updating utilizing incomplete frequency response function and modal data is presented. First, a modified sensitivity equation is presented to relate the changes of mode shapes to the changes of unknown structural parameters. Then, the developed equations are used to correlate changes of frequency response functions to the changes of structural parameters. Parameter estimation is conducted through least square solution of sensitivity equations. In order to prove the capability of the proposed method for structural damage detection purpose, a numerical example using error contaminated data is presented. Results exhibit robustness of method against measurement and mass modeling errors.