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Proceedings Paper

Self-tuning tuned mass damper (TMD)
Author(s): Steven Griffin
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Paper Abstract

Tuned mass dampers (TMD) are heavily damped resonant devices which add damping to lightly damped, vibrational modes of a structure by dynamically coupling into the lightly damped modes. In practice, a TMD is a damped spring/mass resonator that is tuned so that its frequency is close to a lightly damped mode on the host structure. The TMD is attached to the host structure at a location of large amplitude motion for the mode to be dampened, and its motion is coupled into the host structure’s motion. If the TMD is tuned correctly, two damped vibrational modes result, which take the place of the original lightly damped mode of the host structure and heavily damped mode of the TMD. Since aerospace structures tend to respond unfavorably at lightly damped modes in the presence of a dynamic disturbance environment, introduction of one or several TMDs can greatly reduce the dynamic response of a structure by damping problematic modes. A self-tuning TMD is described that can perform all the steps necessary to automatically tune itself and minimize the response of a structure with lightly damped modes and a dynamic excitation. The self-tuning TMD concept introduced here uses a voice coil / magnet combination as -an actuator which enables an innovative stiffness adjustment mechanism -a loss mechanism for the tuned mass damper -a means of excitation for identifying lightly damped modes of the host structure Along with an accelerometer and a tethered power supply/computer, the self-tuning TMD can automatically identify and damp lightly damped modes.

Paper Details

Date Published: 4 April 2017
PDF: 5 pages
Proc. SPIE 10166, Industrial and Commercial Applications of Smart Structures Technologies 2017, 101660C (4 April 2017); doi: 10.1117/12.2263563
Show Author Affiliations
Steven Griffin, The Boeing Co. (United States)


Published in SPIE Proceedings Vol. 10166:
Industrial and Commercial Applications of Smart Structures Technologies 2017
Dan J. Clingman, Editor(s)

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