A data-based damping modeling technique
Damping mechanisms exist in all vibration systems, but their nature is little understood and there is no systematic method for modeling general damping. This paper describes a novel damping modeling method (the Method of Energy Approximation, or MEA). This method is novel because it is a unique damp...
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1996-01-01
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Online Access: | http://dx.doi.org/10.1155/S1024123X96000221 |
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doaj-675b30053d7b40888ec0e6678be383132020-11-24T22:05:37ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51471996-01-0121355610.1155/S1024123X96000221A data-based damping modeling techniqueWilliam Zhang0S. G. Lee1General Motors Technical Center, NAO Engineering Center, 1151 Crooks Road, Troy 48084, MI, USADepartment of Electrical Engineering, Yeungnam University, College of Engineering, Gyongsan 713-749, KoreaDamping mechanisms exist in all vibration systems, but their nature is little understood and there is no systematic method for modeling general damping. This paper describes a novel damping modeling method (the Method of Energy Approximation, or MEA). This method is novel because it is a unique damping modeling method without assumed damping linearity; it is based on experimental data instead of physical principles; hence it is applicable to vibration systems of various materials and configurations; and it is suitable for vibration system transient control. Among the three quantities essential to an understanding of the dynamics of a vibration system, mass, stiffness, and damping, the last is the most complex and least understood. Therefore, with recent technology advances in such areas as composite materials and smart materials, the need for a good damping modeling method is more urgent than ever.http://dx.doi.org/10.1155/S1024123X96000221Nonlinear vibration; damping; data-based modeling. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
William Zhang S. G. Lee |
spellingShingle |
William Zhang S. G. Lee A data-based damping modeling technique Mathematical Problems in Engineering Nonlinear vibration; damping; data-based modeling. |
author_facet |
William Zhang S. G. Lee |
author_sort |
William Zhang |
title |
A data-based damping modeling technique |
title_short |
A data-based damping modeling technique |
title_full |
A data-based damping modeling technique |
title_fullStr |
A data-based damping modeling technique |
title_full_unstemmed |
A data-based damping modeling technique |
title_sort |
data-based damping modeling technique |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
1996-01-01 |
description |
Damping mechanisms exist in all vibration systems, but their nature is little understood and there is no systematic method for modeling general damping. This paper describes a novel damping modeling method (the Method of Energy Approximation, or MEA). This method is novel because it is a unique damping modeling method without assumed damping linearity; it is based on experimental data instead of physical principles; hence it is applicable to vibration systems of various materials and configurations; and it is suitable for vibration system transient control. Among the three quantities essential to an understanding of the dynamics of a vibration system, mass, stiffness, and damping, the last is the most complex and least understood. Therefore, with recent technology advances in such areas as composite materials and smart materials, the need for a good damping modeling method is more urgent than ever. |
topic |
Nonlinear vibration; damping; data-based modeling. |
url |
http://dx.doi.org/10.1155/S1024123X96000221 |
work_keys_str_mv |
AT williamzhang adatabaseddampingmodelingtechnique AT sglee adatabaseddampingmodelingtechnique AT williamzhang databaseddampingmodelingtechnique AT sglee databaseddampingmodelingtechnique |
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