Rigid body stiffness matrix for identification of inertia properties from output-only data

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Title: Rigid body stiffness matrix for identification of inertia properties from output-only data
Authors: Malekjafarian, AbdollahAshory, M. R.Khatibi, M. M.SaberLatibari, M.
Permanent link: http://hdl.handle.net/10197/8781
Date: Sep-2016
Abstract: Identification of inertia properties (mass, location of the center of mass and inertia tensor) is essential for designing of engineering structures. Using modal testing is a possibility for estimation of the inertia properties in which they can be identified using the orthogonality property of mass-normalized rigid body mode shapes. However, identification of rigid body mode shapes using modal testing is not always possible, because it is not possible to excite the structure at all degrees of freedom. In this paper, output-only modal analysis in which the structure can be excited in different directions is used to identify the rigid body modes of the structure. It is shown that all of the rigid body modes of the structure can be extracted using the data extracted from output-only modal analysis. As the obtained rigid body mode shapes from output-only modal analysis are not scaled, a new method is proposed for scaling them using rigid body stiffness matrix. The inertia properties of the structure are obtained from the scaled mode shapes. The accuracy of the proposed method is studied using a numerical case study of a steel structure as well as an experimental case study of a steel frame.
Type of material: Journal Article
Publisher: Elsevier
Journal: European Journal of Mechanics, A/Solids
Volume: 59
Start page: 85
End page: 94
Copyright (published version): 2016 Elsevier
Keywords: Inertia propertiesOutput-only modal analysisMode shape scalingRigid body modes
DOI: 10.1016/j.euromechsol.2016.03.009
Language: en
Status of Item: Peer reviewed
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Civil Engineering Research Collection

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