Technical Papers
Apr 10, 2017

Artificial Specimen Damping for Substructure Real-Time Hybrid Simulation

Publication: Journal of Engineering Mechanics
Volume 143, Issue 8

Abstract

Damping plays an important role in structural dynamics by absorbing energy and reducing structural responses. The inherent damping in a building ranges from approximately 2 to 10% critical damping in the first mode; even greater levels of damping are achieved when including supplemental damping devices such as viscous oil dampers. When creating laboratory scale structures, it is difficult to achieve the target level of damping in the specimen. Solutions such as adding discrete damping devices are costly, while solutions such as adding foam or other dissipative materials may add undesired nonlinear behavior or increase the stiffness. This paper proposes a novel technique to introduce artificial damping to a dynamic specimen through shake table control. Artificial damping (AD) is introduced by designing a feedforward (FF) shake table controller that compensates for both shake table dynamics and achieves target specimen performance; that is, with larger damping than the original specimen. The performance of the proposed artificial damping by FF (AD-FF) is investigated for both traditional shake table testing and shake table real-time hybrid simulation (RTHS) through a uniaxial shake table and a two-story shear building specimen with very low damping. The target level of structural damping is accurately realized through the proposed AD-FF in both traditional shake table testing and RTHS. Moreover, damping can be introduced to specific modes of the structure, a feature that cannot be realized by using physical damping devices. In RTHS, the proposed AD-FF gives researches the ability to increase stability without changing the dominant structural response by adding damping to higher modes, even if they appear in the specimen.

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 143Issue 8August 2017

History

Received: Aug 10, 2016
Accepted: Nov 29, 2016
Published online: Apr 10, 2017
Published in print: Aug 1, 2017
Discussion open until: Sep 10, 2017

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Authors

Affiliations

Ruiyang Zhang, S.M.ASCE
Ph.D. Student, Univ. of Maryland, 1173 Glenn L. Martin Hall, College Park, MD 20742.
Brian M. Phillips, A.M.ASCE [email protected]
Assistant Professor, Univ. of Maryland, 1145 Glenn L. Martin Hall, 4298 Campus Dr., College Park, MD 20742 (corresponding author). E-mail: [email protected]

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