Development of master design curves for particle impact dampers
Abstract (Summary)
iii
Particle impact dampers (PIDs) are enclosures partially filled with particles of
various sizes, shapes, and materials. When attached to a vibrating structure, they
dissipate energy through inelastic collisions between the particle bed and the enclosure
wall. In this thesis, the development of master design curves to predict the damping and
mass characteristics of particle impact dampers are presented. A power measurement
technique enabled the time-efficient measurement of the damping and mass properties of
the PID. The power measurement technique enjoys several advantages over traditional
loss factor measurements, including the flexibility to analyze the behavior of the PID at
any frequency or excitation amplitude, and the ability to predict the damping and mass
contribution for any structure operating under the same conditions. Using this power
measurement technique, a large number of experiments were conducted to determine the
effects of vibration amplitude, excitation frequency, gap size, particle size, and particle
mass on the dissipated power and effective mass of the PID. A high speed digital video
camera was used to directly observe particles in motion under different conditions, which
greatly aided the interpretation of the data trends and the development of the master
design curves. Based on the data trends from the power measurements and the insight
gained from the videos, the power data was systematically collapsed into a pair of twodimensional
master design curves with unitless axes which are comprised of
combinations of design parameters. The damping and mass efficiencies of the PID may
be predicted from the design curves for specific applications. An interpretation of the
iv
design curves is given, and the performance of a PID on a structure is used to verify their
predictive capabilities.
Bibliographical Information:
Advisor:
School:Pennsylvania State University
School Location:USA - Pennsylvania
Source Type:Master's Thesis
Keywords:
ISBN:
Date of Publication: