Identification of Non-Proportional Structural Damping Using Experimental Modal Analysis Data

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Date

2020

Journal Title

Journal ISSN

Volume Title

Publisher

Jve int Ltd

Open Access Color

GOLD

Green Open Access

No

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No
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Average
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Average
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Top 10%

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Abstract

A verified computational model of a complex structure is crucial for reliable vibro-acoustic simulations. Mass and stiffness matrices of such a computational model may be constructed correctly, provided all the design information is available. Since it is an unknown, the damping matrix is usually populated through mathematical models based on some assumptions. In the current study, it is proposed to use the identified non-proportional structural damping matrix in the computational model. Structural damping matrix can be identified using the complex frequency response functions obtained from experimental modal analysis data. No matter what type of a damping mechanism a structure has; proportional or non-proportional, the frequency response functions of the system can be measured. First, the calculation procedure for the non-proportional structural damping matrix is explained. The damping matrix of an analytical model is identified successfully using the proposed procedure. The same procedure is then applied through a case study. Computational model of a test vehicle is constructed. Next, the test vehicle is subjected to a modal test to measure the frequency response functions of the structure. Incompleteness of the measured data and the requirements of the procedure are discussed, as well. The described procedure can be used in any model updating framework.

Description

Keywords

Non-Proportional Structural Damping, Experimental Modal Analysis, Frequency Response Function, Incomplete Data, Damped Model, Model Updating

Fields of Science

02 engineering and technology, 0201 civil engineering

Citation

WoS Q

Q4

Scopus Q

Q3
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OpenCitations Citation Count
5

Source

Journal of Measurements in Engineering

Volume

8

Issue

1

Start Page

34

End Page

45
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CrossRef : 4

Scopus : 2

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Mendeley Readers : 11

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